The document discusses balancing healthcare data security and utilization. It addresses four areas that affect this balance: 1) monitoring, 2) data de-identification, 3) cloud environments, and 4) user access. For monitoring, the document emphasizes that logging is insufficient and that active monitoring of logs is needed to improve security, performance, and product development. It also discusses techniques for de-identifying data while maintaining data usefulness and the tradeoffs of using cloud environments for data analytics. Overall, the document advocates for balancing data utilization and security through techniques like active log monitoring across different layers of the analytics stack.
User Group Kickoff and New Product Roadmap - HAS Session 12Health Catalyst
This session will be highly interactive, targeted primarily at existing Health Catalyst clients. First, our “three amigos” will introduce the concept of three user groups focused around analytics, deployment, and clinical knowledge assets, and solicit your feedback and input on the best way to collaborate and share best practices. Then we will introduce our new product category offerings, and solicit your interactive input and priorities as a guide to our future product roadmap.
Finding the perfect data governance environment is an elusive target. It’s important to govern to the least extent necessary in order to achieve the greatest common good. With the three data governance cultures, authoritarian, tribal, and democratic, the latter is best for a balanced, productive governance strategy.
The Triple Aim of data governance is: 1) ensuring data quality, 2) building data literacy, and 3) maximizing data exploitation for the organization’s benefit. The overall strategy should be guided by these three principles under the guidance of the data governance committee.
Data governance committees need to be sponsored at the executive board and leadership level, with supporting roles defined for data stewards, data architects, database and systems administrators, and data analysts. Data governance committees need to avoid the most common failure modes: wandering, technical overkill, political infighting, and bureaucratic red tape.
Healthcare organizations that are undergoing analytics adoption will also go through six phases of data governance including: 1) establishing the tone for becoming a data-driven organization, 2) providing access to data, 3) establishing data stewards, 4) establishing a data quality program, 5) exploiting data for the benefit of the organization, 6) the strategic acquisition of data to benefit the organization.
As U.S. healthcare moves into its next stage of evolution, the organizations that will survive and thrive will be those who most effectively acquire, analyze, and utilize their data to its fullest extent. Such is the mission of data governance.
How to Choose the Best Healthcare Analytics Software Solution in a Crowded Ma...Health Catalyst
There’s a new trend in the healthcare industry to adopt analytics software solutions to help organizations achieve clinical and financial success. Because of the high demand for analytics, there are many players touting their ability to delivery comprehensive solutions. With so many options available, health systems need to be able to cut through the marketing hype to find tools that provide the best value for their needs. Key solutions include an enterprise data warehouse and analytics software applications (from foundational to discovery to advanced). Other considerations include the organization’s readiness for cultural change, the total cost of ownership required, and the viability of the company providing the technology.
Healthcare Visualizations: Are You Getting the Entire StoryHealth Catalyst
The emergence of powerful and user-friendly healthcare data visualization programs has transformed analytical reporting. The amount of information conveyed by all types of graphs, symbols, sizes, and colors is staggering. The ability to “drill down” in real-time with increasing levels of granularity enables all manner of analyses. The downside of this data hunger is the creation of simplified, context-free visualizations which may inadvertently lead to misinterpretations, most often in the form of a false positive (believing a change has occurred that really hasn’t). This often leads to knee-jerk reactions to correct the “change” and unnecessary actions being taken that waste time, effort, and money. Avoiding the most common pitfalls will ensure your organization has the most complete picture to drive meaningful change.
Healthcare Interoperability: New Tactics and TechnologyHealth Catalyst
Every provider agrees on the need for healthcare interoperability to achieve clinical data insights at the point of care. The question is how to get there from the myriad technologies and the volumes of data that comprise electronic medical records. It’s been difficult to organize among participants that have had little incentive to cooperate. And standards for sending and receiving data have been slow to develop. This is changing, but the key components that are still vital to realizing insights are closed-loop analytics and its accompanying tools, an enterprise data warehouse and analytics applications. This article defines the problems and explores the solutions to optimizing clinical decision making where it’s needed most.
The Deployment System: Creating the Organizational Infrastructure to Support ...Health Catalyst
Join Dr. Haughom as he continues the next installment in his webinar series. He will help participants to better understand the key components of an effective deployment system that supports sustainable large-scale improvements in quality, safety and efficiency. He will also continue his live demonstration of the power of modern analytics in managing the health of populations.
Attendees will learn:
Through a live demonstration, the use of analytics to identify potential risk by understanding the size of disease populations and their risk profiles
How to effectively engage opinion leaders in quality improvement and move the entire organization’s workforce forward
How to organize teams that take ownership of the organization’s quality, cost and patient satisfaction improvement strategy
The elements of an effective team structure and governance model for quality improvement
The implementation of an agile, or iterative, approach that fosters continuous improvement
The integration of Lean process improvements with the measurement system to achieve and sustain improvement gains
Healthcare Dashboards: 3 Keys for Creating Effective and Insightful Executive...Health Catalyst
As the use of data-driven Key Performance Indicators (KPIs) increases, healthcare organizations are adopting Executive Dashboards to track organizational performance. While dashboards deliver insight and identify areas for improvement, they fail to make the data actionable and the value is often offset by the unproductive fire drills and churn they create. There are three keys to create and deploy insightful and effective dashboards successfully:
1. Aggregation of underlying dashboards to create the executive dashboard
2. Establishment of clear ownership and accountability
3. Sustainable process
Want to know the best healthcare data warehouse for your organization? You’ll need to start first by modeling the data, because the data model used to build your healthcare enterprise data warehouse (EDW) will have a significant effect on both the time-to-value and the adaptability of your system going forward. Each of the models I describe below bind data at different times in the design process, some earlier, some later. As you’ll see, we believe that binding data later is better. The three approaches are 1) the enterprise data model, 2) the independent data model, and 3) the Health Catalyst Late-Binding™ approach.
User Group Kickoff and New Product Roadmap - HAS Session 12Health Catalyst
This session will be highly interactive, targeted primarily at existing Health Catalyst clients. First, our “three amigos” will introduce the concept of three user groups focused around analytics, deployment, and clinical knowledge assets, and solicit your feedback and input on the best way to collaborate and share best practices. Then we will introduce our new product category offerings, and solicit your interactive input and priorities as a guide to our future product roadmap.
Finding the perfect data governance environment is an elusive target. It’s important to govern to the least extent necessary in order to achieve the greatest common good. With the three data governance cultures, authoritarian, tribal, and democratic, the latter is best for a balanced, productive governance strategy.
The Triple Aim of data governance is: 1) ensuring data quality, 2) building data literacy, and 3) maximizing data exploitation for the organization’s benefit. The overall strategy should be guided by these three principles under the guidance of the data governance committee.
Data governance committees need to be sponsored at the executive board and leadership level, with supporting roles defined for data stewards, data architects, database and systems administrators, and data analysts. Data governance committees need to avoid the most common failure modes: wandering, technical overkill, political infighting, and bureaucratic red tape.
Healthcare organizations that are undergoing analytics adoption will also go through six phases of data governance including: 1) establishing the tone for becoming a data-driven organization, 2) providing access to data, 3) establishing data stewards, 4) establishing a data quality program, 5) exploiting data for the benefit of the organization, 6) the strategic acquisition of data to benefit the organization.
As U.S. healthcare moves into its next stage of evolution, the organizations that will survive and thrive will be those who most effectively acquire, analyze, and utilize their data to its fullest extent. Such is the mission of data governance.
How to Choose the Best Healthcare Analytics Software Solution in a Crowded Ma...Health Catalyst
There’s a new trend in the healthcare industry to adopt analytics software solutions to help organizations achieve clinical and financial success. Because of the high demand for analytics, there are many players touting their ability to delivery comprehensive solutions. With so many options available, health systems need to be able to cut through the marketing hype to find tools that provide the best value for their needs. Key solutions include an enterprise data warehouse and analytics software applications (from foundational to discovery to advanced). Other considerations include the organization’s readiness for cultural change, the total cost of ownership required, and the viability of the company providing the technology.
Healthcare Visualizations: Are You Getting the Entire StoryHealth Catalyst
The emergence of powerful and user-friendly healthcare data visualization programs has transformed analytical reporting. The amount of information conveyed by all types of graphs, symbols, sizes, and colors is staggering. The ability to “drill down” in real-time with increasing levels of granularity enables all manner of analyses. The downside of this data hunger is the creation of simplified, context-free visualizations which may inadvertently lead to misinterpretations, most often in the form of a false positive (believing a change has occurred that really hasn’t). This often leads to knee-jerk reactions to correct the “change” and unnecessary actions being taken that waste time, effort, and money. Avoiding the most common pitfalls will ensure your organization has the most complete picture to drive meaningful change.
Healthcare Interoperability: New Tactics and TechnologyHealth Catalyst
Every provider agrees on the need for healthcare interoperability to achieve clinical data insights at the point of care. The question is how to get there from the myriad technologies and the volumes of data that comprise electronic medical records. It’s been difficult to organize among participants that have had little incentive to cooperate. And standards for sending and receiving data have been slow to develop. This is changing, but the key components that are still vital to realizing insights are closed-loop analytics and its accompanying tools, an enterprise data warehouse and analytics applications. This article defines the problems and explores the solutions to optimizing clinical decision making where it’s needed most.
The Deployment System: Creating the Organizational Infrastructure to Support ...Health Catalyst
Join Dr. Haughom as he continues the next installment in his webinar series. He will help participants to better understand the key components of an effective deployment system that supports sustainable large-scale improvements in quality, safety and efficiency. He will also continue his live demonstration of the power of modern analytics in managing the health of populations.
Attendees will learn:
Through a live demonstration, the use of analytics to identify potential risk by understanding the size of disease populations and their risk profiles
How to effectively engage opinion leaders in quality improvement and move the entire organization’s workforce forward
How to organize teams that take ownership of the organization’s quality, cost and patient satisfaction improvement strategy
The elements of an effective team structure and governance model for quality improvement
The implementation of an agile, or iterative, approach that fosters continuous improvement
The integration of Lean process improvements with the measurement system to achieve and sustain improvement gains
Healthcare Dashboards: 3 Keys for Creating Effective and Insightful Executive...Health Catalyst
As the use of data-driven Key Performance Indicators (KPIs) increases, healthcare organizations are adopting Executive Dashboards to track organizational performance. While dashboards deliver insight and identify areas for improvement, they fail to make the data actionable and the value is often offset by the unproductive fire drills and churn they create. There are three keys to create and deploy insightful and effective dashboards successfully:
1. Aggregation of underlying dashboards to create the executive dashboard
2. Establishment of clear ownership and accountability
3. Sustainable process
Want to know the best healthcare data warehouse for your organization? You’ll need to start first by modeling the data, because the data model used to build your healthcare enterprise data warehouse (EDW) will have a significant effect on both the time-to-value and the adaptability of your system going forward. Each of the models I describe below bind data at different times in the design process, some earlier, some later. As you’ll see, we believe that binding data later is better. The three approaches are 1) the enterprise data model, 2) the independent data model, and 3) the Health Catalyst Late-Binding™ approach.
6 Essential Data Analyst Skills for Your Healthcare OrganizationHealth Catalyst
Healthcare organizations are turning to the enterprise data warehouse (EDW) as the foundation of their analytics strategy. But simply implementing an EDW doesn’t guarantee an organization’s success. One obstacle organizations come up against is that their analytics team members don’t have the right skills to maximize the effectiveness of the EDW. The following six skills are essential for analytics team members: structured query language (SQL); the ability to perform export, transform, and load (ETL) processes; data modeling; data analysis; business intelligence (BI) reporting; and the ability to tell a story with data.
Exploring How to Use Hadoop in your Healthcare Big Data StrategyHealth Catalyst
Big Data, Big Data, Big Data – everybody is talking about it, but what is it, why are people talking about it, and how is it being done? Come ready to talk about emerging healthcare big data use cases that are pleading for the help of practical and powerful technologies like Spark, Hive, and others. If applied appropriately, these technologies can rev up your data warehouse and help you to address evolving data-driven healthcare needs around unstructured data, real-time data feeds, and machine learning.
Sean Stohl, SVP in Product Development at Health Catalyst, will give you a practical understanding of where to get started with these technologies. Sean will also give you a glimpse how he thinks these technologies will evolve over time in this technically focused webinar.
Attendees will be able to explain:
What Big Data and Hadoop are
Why Big Data and Hadoop are needed in healthcare
What the challenges to adoption are
How to get started
Attendees will also get to see Big Data in action. We look forward to you joining us.
Three Approaches to Predictive Analytics in HealthcareHealth Catalyst
Predictive analytics in healthcare must be timely, role-specific, and actionable to be successful. There are also three common types of healthcare predictive analytics: Risk scores (risk stratification using CMS-HCC or other models), What-if scenarios (simulations of specific outcomes given a certain combination of events, and Geo-spatial analytics (mapping a geographical location’s patient disease burden). The common thread in all of these is the element of action, or specifically, the intervention that really matters in healthcare predictive analytics.
Why Most Analytic Applications Will Never Be Able to Significantly Improve He...Health Catalyst
The availability of healthcare IT solutions can be overwhelming and all promise to solve an organization’s most pressing issues. While typical data and analytic applications are excellent at exposing opportunities for improvement that are impacting the bottom line, most are not effective at helping the organization determine what to do to address them and improve outcomes. However, a new approach to creating analytics applications is emerging. Analytics applications that incorporate best practices clinical content along with the best practices visualizations help everyone understand the problem and the solution. These applications also enable clinicians to better understand, adopt, roll out, and execute outcome improvement initiatives with healthcare systems. Health Catalyst has deliberately created a comprehensive, dynamic suite of applications that integrate clinical content and facilitate the orderly implementation of action plans.
Landmark Review of Population Health ManagementHealth Catalyst
Population health management (PHM) is in its early stages of maturity, suffering from inconsistent definitions and understanding, overhyped by vendors and ill-defined by the industry. Healthcare IT vendors are labeling themselves with this new and popular term, quite often simply re-branding their old-school, fee-for-service, and encounter-based analytic solutions. Even the analysts —KLAS, Chilmark, IDC, and others—are also having a difficult time classifying the market. In this paper, I identify and define 12 criteria that any health system will want to consider in evaluating population health management companies. The reality of the market is that there is no single vendor that can provide a complete PHM solution today. However there are a group of vendors that provide a subset of capabilities that are certainly useful for the next three years. In this paper, I discuss the criteria and try my best to share an unbiased evaluation of sample of the PHM companies in this space.
Top 7 Financial Healthcare Trends and Challenges for 2016Health Catalyst
Healthcare financial leaders will encounter a myriad of challenges and improvement opportunities in 2016. This year will force health system financial leadership to focus and prioritize, with challenges including increased healthcare spending, continued momentum toward value-based care, and the need to reexamine the revenue cycle after years of focusing so intently on ICD-10. But 2016’s financial healthcare trends include more than just challenges; exciting opportunities abound, from using technology to engage patients to a national focus on population health.
For the past several years, Bobbi Brown, our Vice President of Financial Engagement, has shared her predictions on trends and challenges that face the industry. We are happy to give the opportunity once again this year with a new webinar highlighting her top seven financial healthcare trends of 2016. Bobbi will also share the attributes necessary for healthcare leaders—particularly the characteristics of effective change leaders (resilient, collaborative, and inspirational)—to overcome challenges and make improvements to stay ahead of the curve in 2016.
Attendees will understand
The impact of these top seven trends to their organization.
Where to focus their quality improvement and efforts
How these 2016 trends will increase the need for healthcare data analytics.
It's always interesting to look ahead and try to predict what might or might not happen. Come prepared to share your opinions, vote on Bobbi’s predictions, and join in for a candid and lively conversation.
Reducing Unwanted Variation in Healthcare Clears the Way for Outcomes Improve...Health Catalyst
According to statistician W. Edwards Deming, “Uncontrolled variation is the enemy of quality.” The statement is particularly true of outcomes improvement in healthcare, where variation threatens quality across processes and outcomes. To improve outcomes, health systems must recognize where and how inconsistency impacts their outcomes and reduce unwanted variation.
There are three key steps to reducing unwanted variation:
Remove obstacles to success on a communitywide level.
Maintain open lines of communication and share lessons learned.
Decrease the magnitude of variation.
Why Your Healthcare Business Intelligence Strategy Can't WinHealth Catalyst
Business intelligence may hold tremendous promise but it can’t answer healthcare’s challenges unless it’s built on the solid foundation of a clinical data warehouse. Learn the definition of business intelligence, why a clinical data warehouse is needed for any healthcare BI strategy, the various options in data warehousing, which one is most effective for hospitals and the industry and why.
Data Driven Healthcare That Work: A Physician Group PerspectiveHealth Catalyst
Crystal Run Healthcare shares their story about using proven strategies to care for patients in an accountable care model by using data to drive those strategies. Gregory A. Spencer, MD, FACP, CMO, and CMIO at Crystal Run Healthcare discusses why they moved towards analytics and data warehousing as well as the 6 requirements their health system had as they searched for a partner: 1) The solution needed to hit the ground running. 2) The solution needed to provide quick, actionable data. 3) There needed to be a library of analytical applications. 4) The healthcare data model needed to be able to evolve. 5) They needed to be taught how to fish for the data. 6) A long-term relationship with the vendor was important
Why Precise, Tailored Patient Registries Lead to Cost-Effective Care Manageme...Health Catalyst
Early this year, CMS began a per member per month reimbursement for Medicare beneficiaries with two or more chronic conditions. It immediately validated the need for care management programs. Three models are used to measure the savings of an effective care management program:
Historical or intent-to-treat design
Matching comparison design
Randomized control design
All three place a heavy reliance on data and precise, tailored patient registries. Reliable patient registries are one of the most valuable tools in the care management toolbox. And the means to that reliability is an enterprise data warehouse, which essentially gives program managers an all-access pass to stratifying patient risk and leads to a more successful population health initiative.
How To Avoid The 3 Most Common Healthcare Analytics Pitfalls And Related Inef...Health Catalyst
Analytics are supposed to provide data-driven solutions, not additional healthcare analytics pitfalls and other related inefficiencies. Yet such issues are quite common. Becoming familiar with potential problems will help health systems avoid them in the future. The three common analytics pitfalls are point solutions, EHRs, and independent data marts located in many different databases. An EDW will counter all three of these problems. The two inefficiencies include report factories and flavor of the month projects. The solution that best overcomes these inefficiencies is a robust deployment system.
Patient Flight Path Analytics: From Airline Operations to Healthcare OutcomesHealth Catalyst
We developed a predictive analytics framework for patient care based upon concepts from airline operations. Using the idea of an aircraft turnaround time where the airline wants to put the aircraft back into operation as soon as possible, we’ve created a way to help patients headed toward poor outcomes, along with their providers, “turnaround” and get the best possible, most cost-effective outcome. For example, in a diabetes patient, we might use variables such as: age, alcohol use, annual eye/foot exam, BMI, etc. to look for patterns that might influence two outcomes: 1) Diabetic control and 2) The absence of progression toward diabetic complications. The notion of our Patient Flight Path is useful at both the conceptual level, as well as the predictive algorithm implementation level.
Deliver Data to Decision Makers: Two Important Strategies for SuccessHealth Catalyst
Surviving on thin operating margins underscores the need for all end users at a health system to make decisions based on comprehensive data sets. This data-centered approach to decision making allows team members to take the right course of action the first time and avoid making decisions based on fragmented data that exclude key pieces of information.
To promote data-driven decision making and a data-centric culture, healthcare organizations should increase data access and availability across the institution. With easy access to complete data, end users rely on the same data to make decisions, no matter where they work within the health system.
Two strategies can help organizations integrate and deliver data to end users when they need it:
Select infrastructure that fits most people’s needs.
Ask the right questions.
5 Reasons Why Healthcare Data is Unique and Difficult to MeasureHealth Catalyst
Healthcare data is not linear. It is a complex, diverse beast unlike the data of any other industry. There are five ways in particular that make healthcare data unique:
1. Much of the data is in multiple places.
2. The data is structured and unstructured.
3. It has inconsistent and variable definitions; evidence-based practice and new research is coming out every day. 4. The data is complex.
5. Changing regulatory requirements.
The answer for this unpredictability and complexity is the agility of a late-binding Data Warehouse.
Four Population Health Management Strategies that Help Organizations Improve ...Health Catalyst
Population health management (PHM) strategies help organizations achieve sustainable outcomes improvement by guiding transformation across the continuum of care, versus focusing improvement resources on limited populations and acute care. Because population health comprises the complete picture of individual and population health (health behaviors, clinical care social and economic factors, and the physical environment), health systems can use PHM strategies to ensure that improvement initiatives comprehensively impact healthcare delivery.
Organizations can leverage four PHM strategies to achieve sustainable improvement:
Data transformation
Analytic transformation
Payment transformation
Care transformation
Linking Clinical And Financial Data: The Key To Real Quality And Cost OutHealth Catalyst
Since accountable care took the healthcare industry by a storm in 2010, health systems have had to move from their predictable revenue streams based on volume to a model that includes quality measures. While the switch will ultimately improve both quality and cost outcomes, health systems now need the capability of tracking and analyzing the data from both clinical and financial systems. A late-binding enterprise data warehouse provides the flexible architecture that makes it possible to liberate both kinds of data to link it together to provide a full picture of trends and opportunities.
Eight Reasons Why Chief Data Officers Will Help Healthcare Organizations Thri...Health Catalyst
The state of healthcare information technology and analytics has evolved to the point where a revised executive structure is advisable in the C-suite. This new structure calls for a Chief Data Officer (CDO) to focus on extracting data from systems and on mining value from that data, rather than getting data into systems, which is the responsibility of the CIO.
This article makes the case for the CDO, explains how the need for this emerging role evolved, outlines its responsibilities, advises on how to recruit and budget for this position, and details its domain in eight critical business areas:
Governance and standards
Managing risk
Reducing costs
Driving innovation
Data architecture and technology
Data analytics
Meeting regulatory demand
Creating business value
Aiding Analytics Adoption Via Metadata-Driven Architecture: If You Build It, ...Health Catalyst
A key feature of effective analytics infrastructure in healthcare is a metadata-driven architecture. In this article, three best practice scenarios are discussed:
Automating ETL processes so data analysts have more time to listen and help end users
Using a metadata repository to enhance data literacy among users and improve trust in data, thus enabling data governance policies
Improving turnaround time for data analysts who support frontline staff who, in turn, monitor interventions based on evidence-based medicine that is constantly changing
The article unravels the components of the metadata-driven architecture as part of an overall analytics platform. Learn the methodology for creating faster data results, generating speed to value, and realizing systemwide analytics adoption.
Use Well-Crafted Aim Statements To Achieve Clinical Quality ImprovementsHealth Catalyst
Too often, hospitals and health systems stop at developing broad clinical quality improvement statements that come up short of achieving their desired goals. What’s missing are clearly defined improvement objectives in the form of aim statements that take into account the effects on other areas of the organization: patient safety and satisfaction, physician engagement, and financial contribution. Aim statements help articulate the problems that add value for patients and the organization, but good data, and the analytics tools required to understand the data, are essential to illuminating high-value problem areas. Additionally, aim statements must stick to the SMART guidelines: Specific, Measureable, Achievable, Relevant, and Time-bound.
Introducing catalyst.ai and MACRA Measures & InsightsHealth Catalyst
Join Eric Just, Senior Vice President of Product Development, as he will discuss:
How machine learning is now included into our analytics platform and being built into all our applications.
The toolsets we have developed to automate and democratize machine learning tasks both within Health Catalyst clients and to the broader healthcare industry.
Processes to gain clinician buy-in, and engage the best machine learning engine in the world.
Demonstrations and examples of this life-saving technology.
Dorian DiNardo, Vice President, will share how the Health Catalyst® MACRA Measures & Insights product can help you:
Integrate hundreds of measures across financial, regulatory, and quality departments.
Monitor the behavior, activities, and other changing information needed to influence, manage, or change outcomes.
Tactically and strategically identify measures to take on risk in multi-year value-based care contracts.
FOR MORE CLASSES VISIT
www.cst610rank.com
CST 610 Project 1 Information Systems and Identity Management
CST 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux)
CST 610 Project 3 Assessing Information System Vulnerabilities and Risk
CST 610 Project 4 Threat Analysis and Exploitation
CST 610 Project 5 Cryptography
FOR MORE CLASSES VISIT
www.cst610rank.com
CST 610 Project 1 Information Systems and Identity Management CST 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux) CST 610 Project 3 Assessing Information System Vulnerabilities and Risk CST 610 Project 4 Threat Analysis and Exploitation CST 610 Project 5 Cryptography CST 610 Project 6 Digital Forensics Analysis
6 Essential Data Analyst Skills for Your Healthcare OrganizationHealth Catalyst
Healthcare organizations are turning to the enterprise data warehouse (EDW) as the foundation of their analytics strategy. But simply implementing an EDW doesn’t guarantee an organization’s success. One obstacle organizations come up against is that their analytics team members don’t have the right skills to maximize the effectiveness of the EDW. The following six skills are essential for analytics team members: structured query language (SQL); the ability to perform export, transform, and load (ETL) processes; data modeling; data analysis; business intelligence (BI) reporting; and the ability to tell a story with data.
Exploring How to Use Hadoop in your Healthcare Big Data StrategyHealth Catalyst
Big Data, Big Data, Big Data – everybody is talking about it, but what is it, why are people talking about it, and how is it being done? Come ready to talk about emerging healthcare big data use cases that are pleading for the help of practical and powerful technologies like Spark, Hive, and others. If applied appropriately, these technologies can rev up your data warehouse and help you to address evolving data-driven healthcare needs around unstructured data, real-time data feeds, and machine learning.
Sean Stohl, SVP in Product Development at Health Catalyst, will give you a practical understanding of where to get started with these technologies. Sean will also give you a glimpse how he thinks these technologies will evolve over time in this technically focused webinar.
Attendees will be able to explain:
What Big Data and Hadoop are
Why Big Data and Hadoop are needed in healthcare
What the challenges to adoption are
How to get started
Attendees will also get to see Big Data in action. We look forward to you joining us.
Three Approaches to Predictive Analytics in HealthcareHealth Catalyst
Predictive analytics in healthcare must be timely, role-specific, and actionable to be successful. There are also three common types of healthcare predictive analytics: Risk scores (risk stratification using CMS-HCC or other models), What-if scenarios (simulations of specific outcomes given a certain combination of events, and Geo-spatial analytics (mapping a geographical location’s patient disease burden). The common thread in all of these is the element of action, or specifically, the intervention that really matters in healthcare predictive analytics.
Why Most Analytic Applications Will Never Be Able to Significantly Improve He...Health Catalyst
The availability of healthcare IT solutions can be overwhelming and all promise to solve an organization’s most pressing issues. While typical data and analytic applications are excellent at exposing opportunities for improvement that are impacting the bottom line, most are not effective at helping the organization determine what to do to address them and improve outcomes. However, a new approach to creating analytics applications is emerging. Analytics applications that incorporate best practices clinical content along with the best practices visualizations help everyone understand the problem and the solution. These applications also enable clinicians to better understand, adopt, roll out, and execute outcome improvement initiatives with healthcare systems. Health Catalyst has deliberately created a comprehensive, dynamic suite of applications that integrate clinical content and facilitate the orderly implementation of action plans.
Landmark Review of Population Health ManagementHealth Catalyst
Population health management (PHM) is in its early stages of maturity, suffering from inconsistent definitions and understanding, overhyped by vendors and ill-defined by the industry. Healthcare IT vendors are labeling themselves with this new and popular term, quite often simply re-branding their old-school, fee-for-service, and encounter-based analytic solutions. Even the analysts —KLAS, Chilmark, IDC, and others—are also having a difficult time classifying the market. In this paper, I identify and define 12 criteria that any health system will want to consider in evaluating population health management companies. The reality of the market is that there is no single vendor that can provide a complete PHM solution today. However there are a group of vendors that provide a subset of capabilities that are certainly useful for the next three years. In this paper, I discuss the criteria and try my best to share an unbiased evaluation of sample of the PHM companies in this space.
Top 7 Financial Healthcare Trends and Challenges for 2016Health Catalyst
Healthcare financial leaders will encounter a myriad of challenges and improvement opportunities in 2016. This year will force health system financial leadership to focus and prioritize, with challenges including increased healthcare spending, continued momentum toward value-based care, and the need to reexamine the revenue cycle after years of focusing so intently on ICD-10. But 2016’s financial healthcare trends include more than just challenges; exciting opportunities abound, from using technology to engage patients to a national focus on population health.
For the past several years, Bobbi Brown, our Vice President of Financial Engagement, has shared her predictions on trends and challenges that face the industry. We are happy to give the opportunity once again this year with a new webinar highlighting her top seven financial healthcare trends of 2016. Bobbi will also share the attributes necessary for healthcare leaders—particularly the characteristics of effective change leaders (resilient, collaborative, and inspirational)—to overcome challenges and make improvements to stay ahead of the curve in 2016.
Attendees will understand
The impact of these top seven trends to their organization.
Where to focus their quality improvement and efforts
How these 2016 trends will increase the need for healthcare data analytics.
It's always interesting to look ahead and try to predict what might or might not happen. Come prepared to share your opinions, vote on Bobbi’s predictions, and join in for a candid and lively conversation.
Reducing Unwanted Variation in Healthcare Clears the Way for Outcomes Improve...Health Catalyst
According to statistician W. Edwards Deming, “Uncontrolled variation is the enemy of quality.” The statement is particularly true of outcomes improvement in healthcare, where variation threatens quality across processes and outcomes. To improve outcomes, health systems must recognize where and how inconsistency impacts their outcomes and reduce unwanted variation.
There are three key steps to reducing unwanted variation:
Remove obstacles to success on a communitywide level.
Maintain open lines of communication and share lessons learned.
Decrease the magnitude of variation.
Why Your Healthcare Business Intelligence Strategy Can't WinHealth Catalyst
Business intelligence may hold tremendous promise but it can’t answer healthcare’s challenges unless it’s built on the solid foundation of a clinical data warehouse. Learn the definition of business intelligence, why a clinical data warehouse is needed for any healthcare BI strategy, the various options in data warehousing, which one is most effective for hospitals and the industry and why.
Data Driven Healthcare That Work: A Physician Group PerspectiveHealth Catalyst
Crystal Run Healthcare shares their story about using proven strategies to care for patients in an accountable care model by using data to drive those strategies. Gregory A. Spencer, MD, FACP, CMO, and CMIO at Crystal Run Healthcare discusses why they moved towards analytics and data warehousing as well as the 6 requirements their health system had as they searched for a partner: 1) The solution needed to hit the ground running. 2) The solution needed to provide quick, actionable data. 3) There needed to be a library of analytical applications. 4) The healthcare data model needed to be able to evolve. 5) They needed to be taught how to fish for the data. 6) A long-term relationship with the vendor was important
Why Precise, Tailored Patient Registries Lead to Cost-Effective Care Manageme...Health Catalyst
Early this year, CMS began a per member per month reimbursement for Medicare beneficiaries with two or more chronic conditions. It immediately validated the need for care management programs. Three models are used to measure the savings of an effective care management program:
Historical or intent-to-treat design
Matching comparison design
Randomized control design
All three place a heavy reliance on data and precise, tailored patient registries. Reliable patient registries are one of the most valuable tools in the care management toolbox. And the means to that reliability is an enterprise data warehouse, which essentially gives program managers an all-access pass to stratifying patient risk and leads to a more successful population health initiative.
How To Avoid The 3 Most Common Healthcare Analytics Pitfalls And Related Inef...Health Catalyst
Analytics are supposed to provide data-driven solutions, not additional healthcare analytics pitfalls and other related inefficiencies. Yet such issues are quite common. Becoming familiar with potential problems will help health systems avoid them in the future. The three common analytics pitfalls are point solutions, EHRs, and independent data marts located in many different databases. An EDW will counter all three of these problems. The two inefficiencies include report factories and flavor of the month projects. The solution that best overcomes these inefficiencies is a robust deployment system.
Patient Flight Path Analytics: From Airline Operations to Healthcare OutcomesHealth Catalyst
We developed a predictive analytics framework for patient care based upon concepts from airline operations. Using the idea of an aircraft turnaround time where the airline wants to put the aircraft back into operation as soon as possible, we’ve created a way to help patients headed toward poor outcomes, along with their providers, “turnaround” and get the best possible, most cost-effective outcome. For example, in a diabetes patient, we might use variables such as: age, alcohol use, annual eye/foot exam, BMI, etc. to look for patterns that might influence two outcomes: 1) Diabetic control and 2) The absence of progression toward diabetic complications. The notion of our Patient Flight Path is useful at both the conceptual level, as well as the predictive algorithm implementation level.
Deliver Data to Decision Makers: Two Important Strategies for SuccessHealth Catalyst
Surviving on thin operating margins underscores the need for all end users at a health system to make decisions based on comprehensive data sets. This data-centered approach to decision making allows team members to take the right course of action the first time and avoid making decisions based on fragmented data that exclude key pieces of information.
To promote data-driven decision making and a data-centric culture, healthcare organizations should increase data access and availability across the institution. With easy access to complete data, end users rely on the same data to make decisions, no matter where they work within the health system.
Two strategies can help organizations integrate and deliver data to end users when they need it:
Select infrastructure that fits most people’s needs.
Ask the right questions.
5 Reasons Why Healthcare Data is Unique and Difficult to MeasureHealth Catalyst
Healthcare data is not linear. It is a complex, diverse beast unlike the data of any other industry. There are five ways in particular that make healthcare data unique:
1. Much of the data is in multiple places.
2. The data is structured and unstructured.
3. It has inconsistent and variable definitions; evidence-based practice and new research is coming out every day. 4. The data is complex.
5. Changing regulatory requirements.
The answer for this unpredictability and complexity is the agility of a late-binding Data Warehouse.
Four Population Health Management Strategies that Help Organizations Improve ...Health Catalyst
Population health management (PHM) strategies help organizations achieve sustainable outcomes improvement by guiding transformation across the continuum of care, versus focusing improvement resources on limited populations and acute care. Because population health comprises the complete picture of individual and population health (health behaviors, clinical care social and economic factors, and the physical environment), health systems can use PHM strategies to ensure that improvement initiatives comprehensively impact healthcare delivery.
Organizations can leverage four PHM strategies to achieve sustainable improvement:
Data transformation
Analytic transformation
Payment transformation
Care transformation
Linking Clinical And Financial Data: The Key To Real Quality And Cost OutHealth Catalyst
Since accountable care took the healthcare industry by a storm in 2010, health systems have had to move from their predictable revenue streams based on volume to a model that includes quality measures. While the switch will ultimately improve both quality and cost outcomes, health systems now need the capability of tracking and analyzing the data from both clinical and financial systems. A late-binding enterprise data warehouse provides the flexible architecture that makes it possible to liberate both kinds of data to link it together to provide a full picture of trends and opportunities.
Eight Reasons Why Chief Data Officers Will Help Healthcare Organizations Thri...Health Catalyst
The state of healthcare information technology and analytics has evolved to the point where a revised executive structure is advisable in the C-suite. This new structure calls for a Chief Data Officer (CDO) to focus on extracting data from systems and on mining value from that data, rather than getting data into systems, which is the responsibility of the CIO.
This article makes the case for the CDO, explains how the need for this emerging role evolved, outlines its responsibilities, advises on how to recruit and budget for this position, and details its domain in eight critical business areas:
Governance and standards
Managing risk
Reducing costs
Driving innovation
Data architecture and technology
Data analytics
Meeting regulatory demand
Creating business value
Aiding Analytics Adoption Via Metadata-Driven Architecture: If You Build It, ...Health Catalyst
A key feature of effective analytics infrastructure in healthcare is a metadata-driven architecture. In this article, three best practice scenarios are discussed:
Automating ETL processes so data analysts have more time to listen and help end users
Using a metadata repository to enhance data literacy among users and improve trust in data, thus enabling data governance policies
Improving turnaround time for data analysts who support frontline staff who, in turn, monitor interventions based on evidence-based medicine that is constantly changing
The article unravels the components of the metadata-driven architecture as part of an overall analytics platform. Learn the methodology for creating faster data results, generating speed to value, and realizing systemwide analytics adoption.
Use Well-Crafted Aim Statements To Achieve Clinical Quality ImprovementsHealth Catalyst
Too often, hospitals and health systems stop at developing broad clinical quality improvement statements that come up short of achieving their desired goals. What’s missing are clearly defined improvement objectives in the form of aim statements that take into account the effects on other areas of the organization: patient safety and satisfaction, physician engagement, and financial contribution. Aim statements help articulate the problems that add value for patients and the organization, but good data, and the analytics tools required to understand the data, are essential to illuminating high-value problem areas. Additionally, aim statements must stick to the SMART guidelines: Specific, Measureable, Achievable, Relevant, and Time-bound.
Introducing catalyst.ai and MACRA Measures & InsightsHealth Catalyst
Join Eric Just, Senior Vice President of Product Development, as he will discuss:
How machine learning is now included into our analytics platform and being built into all our applications.
The toolsets we have developed to automate and democratize machine learning tasks both within Health Catalyst clients and to the broader healthcare industry.
Processes to gain clinician buy-in, and engage the best machine learning engine in the world.
Demonstrations and examples of this life-saving technology.
Dorian DiNardo, Vice President, will share how the Health Catalyst® MACRA Measures & Insights product can help you:
Integrate hundreds of measures across financial, regulatory, and quality departments.
Monitor the behavior, activities, and other changing information needed to influence, manage, or change outcomes.
Tactically and strategically identify measures to take on risk in multi-year value-based care contracts.
FOR MORE CLASSES VISIT
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CST 610 Project 1 Information Systems and Identity Management
CST 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux)
CST 610 Project 3 Assessing Information System Vulnerabilities and Risk
CST 610 Project 4 Threat Analysis and Exploitation
CST 610 Project 5 Cryptography
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CST 610 Project 1 Information Systems and Identity Management CST 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux) CST 610 Project 3 Assessing Information System Vulnerabilities and Risk CST 610 Project 4 Threat Analysis and Exploitation CST 610 Project 5 Cryptography CST 610 Project 6 Digital Forensics Analysis
FOR MORE CLASSES VISIT
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CST 610 Project 1 Information Systems and Identity Management CST 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux) CST 610 Project 3 Assessing Information System Vulnerabilities and Risk CST 610 Project 4 Threat Analysis and Exploitation CST 610 Project
CYB 610 Project 1 Information Systems and Identity Management
CYB 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux)
CYB 610 Project 3 Assessing Information System Vulnerabilities and Risk
CYB 610 Project 4 Threat Analysis and Exploitation
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CYB 610 Project 1 Information Systems and Identity Management
CYB 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux)
CYB 610 Project 3 Assessing Information System Vulnerabilities and Risk
For more classes visit
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CYB 610 Project 1 Information Systems and Identity Management
CYB 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux)
CYB 610 Project 3 Assessing Information System Vulnerabilities and Risk
CYB 610 Project 4 Threat Analysis and Exploitation
CYB 610 Effective Communication - snaptutorial.comdonaldzs9
For more classes visit
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CYB 610 Project 1 Information Systems and Identity Management
CYB 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux)
For more classes visit
www.snaptutorial.com
CYB 610 Project 1 Information Systems and Identity Management
CYB 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux)
CYB 610 Project 3 Assessing Information System Vulnerabilities and Risk
CYB 610 Project 4 Threat Analysis and Exploitation
CYB 610 Project 5 Cryptography
CYB 610 Project 6 Digital Forensics Analysis
For more course tutorials visit
www.tutorialrank.com
CST 610 Project 1 Information Systems and Identity Management
CST 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux)
CST 610 Project 3 Assessing Information System Vulnerabilities and Risk
FOR MORE CLASSES VISIT
www.cst610rank.com
CST 610 Project 1 Information Systems and Identity Management CST 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux) CST 610 Project 3 Assessing Information System Vulnerabilities and Risk CST 610 Project 4 Threat Analysis and Exploitation CST 610 Project 5 Cryptography CST 610 Project 6 Digital Forensics Analysis
CST 610 Effective Communication - snaptutorial.comdonaldzs7
For more classes visit
www.snaptutorial.com
CST 610 Project 1 Information Systems and Identity Management
CST 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux)
CST 610 Project 3 Assessing Information System Vulnerabilities and Risk
For more classes visit
www.snaptutorial.com
CST 610 Project 1 Information Systems and Identity Management
CST 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux)
CST 610 Project 3 Assessing Information System Vulnerabilities and Risk
CST 610 Project 4 Threat Analysis and Exploitation
For more classes visit
www.snaptutorial.com
CYB 610 Project 1 Information Systems and Identity Management
CYB 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux)
CYB 610 Project 3 Assessing Information System Vulnerabilities and Risk
CYB 610 Project 4 Threat Analysis and Exploitation
CYB 610 Project 5 Cryptography
For more classes visit
www.snaptutorial.com
CSEC 610 Project 1 Information Systems and Identity Management
CSEC 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux)
CSEC 610 Project 3 Assessing Information System Vulnerabilities and Risk
CSEC 610 Project 4 Threat Analysis and Exploitation
CSEC 610 Project 5 Cryptography
For more classes visit
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CSEC 610 Project 1 Information Systems and Identity Management
CSEC 610 Project 2 Operating Systems Vulnerabilities (Windows and Linux)
Similar to The Four Balancing Acts Involved with Healthcare Data Security Frameworks (20)
Empowering ACOs: Leveraging Quality Management Tools for MIPS and BeyondHealth Catalyst
Join us as we delve into the crucial realm of quality reporting for MSSP (Medicare Shared Savings Program) Accountable Care Organizations (ACOs).
In this session, we will explore how a robust quality management solution can empower your organization to meet regulatory requirements and improve processes for MIPS reporting and internal quality programs. Learn how our MeasureAble application enables compliance and fosters continuous improvement.
Unlock the Secrets to Optimizing Ambulatory Operations Efficiency and Change ...Health Catalyst
Today’s healthcare leaders are seeking technology solutions to optimize efficiencies and improve patient care. However, without effective change management and strategies in place, healthcare leaders struggle to strategically improve patient flow, space, to strategically improve patient flow, space, and schedule management, and implement daily huddles. The role of technology in supporting operational efficiency and change management initiatives is inevitable.
During this webinar, attendees will learn how to optimize Ambulatory Operational Efficiencies and Change Management. Attendees will also learn about the importance of visual management boards in enhancing clinic performance and insights into effective change management approaches.
Patient expectations are rising, and organizations are continuously being asked to do more with less.
Additionally, the convergence of several significant emerging market and policy trends, economic uncertainty, labor force shortages, and the end of the COVID-19 public health emergency has created a unique set of challenges for healthcare organizations.
Attend this timely webinar to learn about new trends and their impact on key healthcare issues, such as patient engagement, migration to value-based care, analytics adoption, the use of alternative care sites, and data governance and management challenges.
During this webinar, we will discuss the complexities of AI, trends, and platforms in the industry. Dive deep into understanding the true essence of AI, exploring its potential, real-world use cases, and common misconceptions. Gain valuable insights into the latest technology trends impacting healthcare and discover strategies for maximizing ROI in your technology investments.
Explore the profound impact of data literacy on healthcare organizations and how it shapes the utilization of data and technology for transformative outcomes. Understand the top technology priorities for healthcare organizations and learn how to navigate the digital landscape effectively. Furthermore, simplify industry jargon by defining common data elements, fostering clearer communication and collaboration across stakeholders.
Finally, uncover the transformative potentials of platforms in healthcare and how they can revolutionize scalability, interoperability, and innovation within your organization. Don't miss this opportunity to gain invaluable insights from industry experts and stay ahead in the ever-evolving healthcare landscape. Reserve your spot now for an enlightening journey into the future of healthcare technology!
Three Keys to a Successful Margin: Charges, Costs, and LaborHealth Catalyst
How can cost management and complete charge capture protect and enhance the margin?
In this webinar, we will look at 2024 margin pressures likely to impact your organization’s financial resiliency. This presentation will also share how organizations can move from Fee-for-Service to Value; bringing Cost to the forefront.
2024 CPT® Updates (Professional Services Focused) - Part 3Health Catalyst
Each year the CPT code set undergoes significant changes. Physicians and their office staff need to be aware of the changes in order to ensure a smooth transition into 2024. Join us for a discussion of the new, deleted and revised CPT codes and associated guidelines for 2024. This presentation will focus on the changes to the CPT dataset and the associated work RVU value changes that impact professional service reporting.
During this complimentary webinar, we will empower you to correctly apply the new and revised codes and discuss the rationale behind this year’s changes. You will leave with an understanding of the financial implications of the changes on your practice.
2024 CPT® Code Updates (HIM Focused) - Part 2Health Catalyst
Each year the CPT code set and the HCPCS code set undergo significant changes, and your coding staff needs to be aware of the changes in order to ensure a smooth transition into 2024. Join us for a discussion of the new, deleted and revised CPT codes and associated guidelines for 2024. This is part two in a three-part series.
During these complimentary webinars, we will empower you to correctly apply the new and revised codes and discuss the rationale behind this year’s changes. This presentation will be geared towards hospital staff with a focus on the surgical section of the CPT book in addition to surgical Category III codes.
2024 CPT® Code Updates (CDM Focused) - Part 1Health Catalyst
Each year the CPT and the HCPCS code sets undergo significant changes, and your staff needs to be aware of the changes in order to ensure a smooth transition into 2024. Join us for a discussion of the new, deleted, and revised CPT codes and associated guidelines for 2024. This is part one in a three-part series, with a CDM focus.
During these complimentary webinars, we will empower you to correctly apply the new and revised codes and discuss the rationale behind this year’s changes. This presentation will be geared towards hospital staff with a focus on the non-surgical sections of the CPT book.
What’s Next for Hospital Price Transparency in 2024 and BeyondHealth Catalyst
The Centers for Medicare & Medicaid Services (CMS) published updates to the hospital price transparency requirements in the CY 2024 Outpatient Prospective Payment System (OPPS) Final Rule. The updates will be phased in over the next 14 months and include several significant changes including the use of a CMS-mandated template, a requirement for an affirmation statement from the hospital, and several new data elements. Join us to discover what changes are scheduled for implementation in 2024 and 2025 and how they’ll impact your facility.
During this complimentary 60-minute webinar, we’ll analyze the key provisions of the Price Transparency regulations and provide insights to help you prepare for the upcoming changes.
Automated Patient Reported Outcomes (PROs) for Hip & Knee ReplacementHealth Catalyst
What was once voluntary reporting will soon be made mandatory with penalties.
On July 1, 2024, all health systems will be required to collect Patient Reported Outcome Measures (PROM) as part of the Centers for Medicare & Medicaid Services (CMS) regulation for the following measures:
Hospital-Level, Risk Standardized Patient-Reported Outcomes Performance Measure (PRO-PM) Following Elective Primary Total Hip Arthroplasty (THA) and/or Total Knee Arthroplasty (TKA)
Hospital-Level Risk-Standardized Complication Rate (RSCR) Following Elective Primary THA/TKA
Are you equipped to handle these new requirements?
Mandatory data collection begins April 1, 2024, and failure to submit timely data can result in a 25 percent reduction in payments by Medicare.
Attend this webinar to learn how mobile engagement can empower your organization to meet this requirement.
2024 Medicare Physician Fee Schedule (MPFS) Final Rule UpdatesHealth Catalyst
According to the Centers for Medicare & Medicaid Services (CMS), the calendar year (CY) 2024 MPFS final rule was created to advance health equity and improve access to affordable healthcare. This webinar will cover the major policy updates of the MPFS final rule including updates to the telehealth services policy and remote monitoring services and enrollment of MFTs and MHCs as Medicare providers. The conversation will also cover policy changes on split (or shared) evaluation and management (E/M) visits, and the Appropriate Use Criteria (AUC) for Advanced Diagnostic Imaging.
What's Next for OPPS: A Look at the 2024 Final RuleHealth Catalyst
During this webinar, we’ll analyze the key provisions of the OPPS final rule and identify the significant changes for the coming year to help prepare your staff for compliance with the 2024 Medicare outpatient billing guidelines.
Insight into the 2024 ICD-10 PCS Updates - Part 2Health Catalyst
Prepare for mandatory ICD-10 PCS diagnosis code updates, which take effect on October 1, 2023. By attending this 60-minute educational session, medical coders and healthcare professionals will gain a comprehensive understanding of the changes to the 2024 ICD-10 procedure codes and their guidelines, enabling accurate and compliant coding for optimal billing and reimbursement.
Vitalware Insight Into the 2024 ICD10 CM Updates.pdfHealth Catalyst
Prepare for mandatory ICD-10 CM diagnosis code updates, which take effect on October 1, 2023. By attending this 60-minute educational session, medical coders and healthcare professionals will gain a comprehensive understanding of the changes to the 2024 ICD-10 diagnosis codes and their guidelines, along with major complication or comorbidity (MCC), complication or comorbidity (CC), and Medicare Severity Diagnosis Related Groups (MS-DRGs) classification changes. With this information, professionals can ensure accurate and compliant diagnosis coding for optimal billing and reimbursement.
Driving Value: Boosting Clinical Registry Value Using ARMUS SolutionsHealth Catalyst
Many hospitals today face a perfect storm of operational and financial challenges. With increasing competition from outpatient facilities and rising care costs negatively impacting budgets, now is the time to boost your clinical registry’s value. However, collecting and analyzing data can be time-consuming and costly without the right tools. During this webinar, we will share insights and best practices for increasing the value of registry participation and how it’s possible to reduce costs while improving outcomes using the ARMUS Product Suite.
Tech-Enabled Managed Services: Not Your Average OutsourcingHealth Catalyst
During this webinar you'll learn the following:
The importance of optimizing performance, reducing labor costs and sourcing talent given current market challenges.
Highlighting the need for a balanced approach to cost reduction.
How to reap the benefits of outsourcing (cost cutting, expertise, etc) while protecting yourself from the collateral damage that often comes with them.
This webinar will provide an in-depth review of the CPT/HCPCS code set changes that will be effective on July 1, 2023. The review will include additions and deletions to the CPT/HCPCS code set, revisions of code descriptors, payment changes, and rationale behind the changes.
How Managing Chronic Conditions Is Streamlined with Digital TechnologyHealth Catalyst
Chronic conditions across the United States are prevalent and continue to rise. Managing one or more chronic diseases can be very challenging for patients who may be overwhelmed or confused about their care plan and may not have access to the resources they need. At the same time, care teams are overburdened, making it difficult to provide the support these patients require to stay as healthy as possible. A new approach to chronic condition management leverages technology to enable organizations to scale high-quality care, identify gaps in care, provide personalized support, and monitor patients on an ongoing basis. Such streamlined management will result in better outcomes, reduced costs, and more satisfied patients.
COVID-19: After the Public Health Emergency EndsHealth Catalyst
In this fast-paced webinar, we will discuss the impact of the end of the public health emergency (PHE), including upcoming changes to the different flexibilities allowed during the PHE and the timeline for when these flexibilities will end. We’ll also cover coding changes and reimbursement updates.
Automated Medication Compliance Tools for the Provider and PatientHealth Catalyst
When it comes to sustaining patient health outcomes, compliance and adherence to medication regimens are critically important, especially as providers manage patients with complex care needs and multiple medications. But, with provider burnout and staffing shortages at an all-time high, an efficient solution is critical. The use of automated medication management workflows to decrease provider burnout, while improving both medication compliance and patient engagement, is the way forward.
ICH Guidelines for Pharmacovigilance.pdfNEHA GUPTA
The "ICH Guidelines for Pharmacovigilance" PDF provides a comprehensive overview of the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) guidelines related to pharmacovigilance. These guidelines aim to ensure that drugs are safe and effective for patients by monitoring and assessing adverse effects, ensuring proper reporting systems, and improving risk management practices. The document is essential for professionals in the pharmaceutical industry, regulatory authorities, and healthcare providers, offering detailed procedures and standards for pharmacovigilance activities to enhance drug safety and protect public health.
Medical Technology Tackles New Health Care Demand - Research Report - March 2...pchutichetpong
M Capital Group (“MCG”) predicts that with, against, despite, and even without the global pandemic, the medical technology (MedTech) industry shows signs of continuous healthy growth, driven by smaller, faster, and cheaper devices, growing demand for home-based applications, technological innovation, strategic acquisitions, investments, and SPAC listings. MCG predicts that this should reflects itself in annual growth of over 6%, well beyond 2028.
According to Chris Mouchabhani, Managing Partner at M Capital Group, “Despite all economic scenarios that one may consider, beyond overall economic shocks, medical technology should remain one of the most promising and robust sectors over the short to medium term and well beyond 2028.”
There is a movement towards home-based care for the elderly, next generation scanning and MRI devices, wearable technology, artificial intelligence incorporation, and online connectivity. Experts also see a focus on predictive, preventive, personalized, participatory, and precision medicine, with rising levels of integration of home care and technological innovation.
The average cost of treatment has been rising across the board, creating additional financial burdens to governments, healthcare providers and insurance companies. According to MCG, cost-per-inpatient-stay in the United States alone rose on average annually by over 13% between 2014 to 2021, leading MedTech to focus research efforts on optimized medical equipment at lower price points, whilst emphasizing portability and ease of use. Namely, 46% of the 1,008 medical technology companies in the 2021 MedTech Innovator (“MTI”) database are focusing on prevention, wellness, detection, or diagnosis, signaling a clear push for preventive care to also tackle costs.
In addition, there has also been a lasting impact on consumer and medical demand for home care, supported by the pandemic. Lockdowns, closure of care facilities, and healthcare systems subjected to capacity pressure, accelerated demand away from traditional inpatient care. Now, outpatient care solutions are driving industry production, with nearly 70% of recent diagnostics start-up companies producing products in areas such as ambulatory clinics, at-home care, and self-administered diagnostics.
India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...Kumar Satyam
According to TechSci Research report, "India Clinical Trials Market- By Region, Competition, Forecast & Opportunities, 2030F," the India Clinical Trials Market was valued at USD 2.05 billion in 2024 and is projected to grow at a compound annual growth rate (CAGR) of 8.64% through 2030. The market is driven by a variety of factors, making India an attractive destination for pharmaceutical companies and researchers. India's vast and diverse patient population, cost-effective operational environment, and a large pool of skilled medical professionals contribute significantly to the market's growth. Additionally, increasing government support in streamlining regulations and the growing prevalence of lifestyle diseases further propel the clinical trials market.
Growing Prevalence of Lifestyle Diseases
The rising incidence of lifestyle diseases such as diabetes, cardiovascular diseases, and cancer is a major trend driving the clinical trials market in India. These conditions necessitate the development and testing of new treatment methods, creating a robust demand for clinical trials. The increasing burden of these diseases highlights the need for innovative therapies and underscores the importance of India as a key player in global clinical research.
The dimensions of healthcare quality refer to various attributes or aspects that define the standard of healthcare services. These dimensions are used to evaluate, measure, and improve the quality of care provided to patients. A comprehensive understanding of these dimensions ensures that healthcare systems can address various aspects of patient care effectively and holistically. Dimensions of Healthcare Quality and Performance of care include the following; Appropriateness, Availability, Competence, Continuity, Effectiveness, Efficiency, Efficacy, Prevention, Respect and Care, Safety as well as Timeliness.
Telehealth Psychology Building Trust with Clients.pptxThe Harvest Clinic
Telehealth psychology is a digital approach that offers psychological services and mental health care to clients remotely, using technologies like video conferencing, phone calls, text messaging, and mobile apps for communication.
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdfSachin Sharma
Pediatric nurses play a vital role in the health and well-being of children. Their responsibilities are wide-ranging, and their objectives can be categorized into several key areas:
1. Direct Patient Care:
Objective: Provide comprehensive and compassionate care to infants, children, and adolescents in various healthcare settings (hospitals, clinics, etc.).
This includes tasks like:
Monitoring vital signs and physical condition.
Administering medications and treatments.
Performing procedures as directed by doctors.
Assisting with daily living activities (bathing, feeding).
Providing emotional support and pain management.
2. Health Promotion and Education:
Objective: Promote healthy behaviors and educate children, families, and communities about preventive healthcare.
This includes tasks like:
Administering vaccinations.
Providing education on nutrition, hygiene, and development.
Offering breastfeeding and childbirth support.
Counseling families on safety and injury prevention.
3. Collaboration and Advocacy:
Objective: Collaborate effectively with doctors, social workers, therapists, and other healthcare professionals to ensure coordinated care for children.
Objective: Advocate for the rights and best interests of their patients, especially when children cannot speak for themselves.
This includes tasks like:
Communicating effectively with healthcare teams.
Identifying and addressing potential risks to child welfare.
Educating families about their child's condition and treatment options.
4. Professional Development and Research:
Objective: Stay up-to-date on the latest advancements in pediatric healthcare through continuing education and research.
Objective: Contribute to improving the quality of care for children by participating in research initiatives.
This includes tasks like:
Attending workshops and conferences on pediatric nursing.
Participating in clinical trials related to child health.
Implementing evidence-based practices into their daily routines.
By fulfilling these objectives, pediatric nurses play a crucial role in ensuring the optimal health and well-being of children throughout all stages of their development.
Leading the Way in Nephrology: Dr. David Greene's Work with Stem Cells for Ki...Dr. David Greene Arizona
As we watch Dr. Greene's continued efforts and research in Arizona, it's clear that stem cell therapy holds a promising key to unlocking new doors in the treatment of kidney disease. With each study and trial, we step closer to a world where kidney disease is no longer a life sentence but a treatable condition, thanks to pioneers like Dr. David Greene.
Navigating Challenges: Mental Health, Legislation, and the Prison System in B...Guillermo Rivera
This conference will delve into the intricate intersections between mental health, legal frameworks, and the prison system in Bolivia. It aims to provide a comprehensive overview of the current challenges faced by mental health professionals working within the legislative and correctional landscapes. Topics of discussion will include the prevalence and impact of mental health issues among the incarcerated population, the effectiveness of existing mental health policies and legislation, and potential reforms to enhance the mental health support system within prisons.
Global launch of the Healthy Ageing and Prevention Index 2nd wave – alongside...ILC- UK
The Healthy Ageing and Prevention Index is an online tool created by ILC that ranks countries on six metrics including, life span, health span, work span, income, environmental performance, and happiness. The Index helps us understand how well countries have adapted to longevity and inform decision makers on what must be done to maximise the economic benefits that comes with living well for longer.
Alongside the 77th World Health Assembly in Geneva on 28 May 2024, we launched the second version of our Index, allowing us to track progress and give new insights into what needs to be done to keep populations healthier for longer.
The speakers included:
Professor Orazio Schillaci, Minister of Health, Italy
Dr Hans Groth, Chairman of the Board, World Demographic & Ageing Forum
Professor Ilona Kickbusch, Founder and Chair, Global Health Centre, Geneva Graduate Institute and co-chair, World Health Summit Council
Dr Natasha Azzopardi Muscat, Director, Country Health Policies and Systems Division, World Health Organisation EURO
Dr Marta Lomazzi, Executive Manager, World Federation of Public Health Associations
Dr Shyam Bishen, Head, Centre for Health and Healthcare and Member of the Executive Committee, World Economic Forum
Dr Karin Tegmark Wisell, Director General, Public Health Agency of Sweden