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- 1. Intel Health & Life Sciences Make it personal. 1
- 2. Michael Jackson GM, Consumer Health Engaging the Empowered Consumer: Greater China 13 May 2015 Shenzhen, Guandong China
- 3. Intel Health & Life Sciences Make it personal. Fueling the Growth Aging Population Rising Costs Worker Shortage Inefficiency & Poor Patient Experience Payment Reforms Public Investments Consumerism Computing Transformations Personalized Medicine 3
- 4. Intel Health & Life Sciences Make it personal. Top 3 Healthcare Challenges in China 1. Extremely unbalanced hospital resources Description: 90% of quality resources located in 1% of hospitals class III facilities operating at full capacity, while class I & community hospital bandwidth not optimized Government: better insurance coverage at lower hospital tiers to incentivize balance, bi-directional referrals, multi-site licensure Internet+: migration to online cloud-based reservation processes (Guahao), inception of care clusters and social physician communities (DXY and Guahao), provider-searching tools and platforms (Chunyu) 2. Unreasonably high prescription costs Description: drug profits have become a major facility revenue stream as more medicines are sold via hospital channels Government: separation of medical service delivery and pharmacy; green light to online drug retailers, sparking growth Internet+: emerging online drug retail market (Alibaba, JD) and e-payment networks (Alibaba, Tencent) 3. Lack of pre- and post- acute hospital care Description: most primary care is delivered in the acute setting as a result of emergency Government: new advocacy of chronic disease management and senior care at home or community with continuous care Internet+: new availability of private health management (Fullway, Meridian), coordinated wellness/health (TenCare) 4
- 5. Intel Health & Life Sciences Make it personal. Hospital s Physician s Pharmacie s Patients Households/ Communities Medical Insurances Distributors Medical Devices Pharma Big Data Wearable Health Device Health Management Platforms &Tools for Physicians Online Physicians Searching & Consultancy Online Appointment Registration Disease& Prescription Analysis E-Payment Online Pharmacies Offline Pharmacies Online Platform 3rd-party Online Platform ‐ ChoiceMMed(超思) ‐ ChoiceMMed(超思) ‐ Ewell(医惠) ‐ Baidu Dulife(百度智能健康设备平 台) ‐ Andon(九安) - Meridian(经纶世纪) - Fullway(万达全程) - Neusoft Xikang - Alibaba Health Cloud(阿里健康云平台) - Tencent Dr. Tang(腾讯糖大夫) - Beijing Health Cloud(北京健康云) ‐ DXY(丁香园) ‐ Xingshulin(杏树林) ‐ Yimaitong(医脉通) ‐ Chunyu(春雨医生) ‐ Haodaifu(好大夫) ‐ 120ask(快速问医生) - Guahao(挂号网) - Jiuyi160(就医160) - Huakang(华康全景网) - Baidu Brain Medical(百度医疗大脑) - WeChat - Alipay - Ehaoyao(好药师) - Kaixinren(开心人) - Jingwei(京卫药房网) - 95095(All Health) - 800pharm(八百方) - Yiyao(壹药网) Disrupting China’s healthcare value chain NOW…
- 6. Intel Health & Life Sciences Make it personal. Intel’s Vision - Healthcare 6 Enterprise Network Gateway for Workload Consolidation Solutions Data Transmission Datacenter | Cloud “information finding the user instead of the user finding the information” Device Management Security Connectivity Edge Analytics IoT GatewayWearable Health (BAN) - Activity Monitors - Sensors - Implantables Remote Health (PAN) - Home Monitoring - Clinical Trials - Independent Living Things Data Capture Clinical Health - Medical Device interoperability - Asset Management Intel® Gateway Solutions + Mobile Apps for Remote Monitoring Non- Consumer Wearables Embedded Comput e Storage Network Intel Data Platform Clinical Data Store Hosted Service dB Consumer Solutions APIServiceCreation,Deployment, Protection,Monetization,andManagement Service Creation Platform Cellular
- 7. Intel Health & Life Sciences Make it personal. Big Data Analytics in Healthcare and Life Sciences Today: Many disparate data types, streams… Future: Integrated computing and integrated data Leading to better decisions • Improved patient experience • Healthier population outcomes • Reduced costs Genomics Clinical Claims & transactions Meds & labs Patient experience Personal data 7
- 8. Intel Health & Life Sciences Make it personal. Intel has a proven history of driving scale Accelerating Implementations Secure, scalable compute from edge to cloud Open industry interoperability
- 9. Intel Health & Life Sciences Make it personal. Care Customization shift from population-based to person-based treatment Care Networking shift from institutions to mobile, home- based, & community care. Care Anywhere shift from solo to team-based care across orgs & IT systems 9
- 10. Intel Health & Life Sciences Make it personal. Care Customization shift from population-based to person-based treatment Care Networking shift from institutions to mobile, home- based, & community care. Care Anywhere shift from solo to team-based care across orgs & IT systems Skill shift to patients/family via web Community health worker training Care coordination SW tools Analytics for patient/risk stratification Clinical decision support for groups Real time quality analytics Placeshift care via telehealth Virtual visits on smart phones Real time diagnostics/monitoring Self care coaching agents Consumerization of medical devices Trusted mobility for clinicians Customized to behaviors, biology Genomics, proteomic data for individuals Health analytics Predictive modeling of individuals Precision therapies, drug customization Tissue generation & “designer organs” 10
- 11. Intel Health & Life Sciences Make it personal. 11 Home Health Devices Health and Fitness AnalyticsAPI Population Health Management Epidemiology / Syndromic Surveillance Consumer App Platform Apps (e.g Health and wellness) PartnerAPI Affiliate Content Health Cloud • Public cloud: Consumers • Private Cloud: Enterprise (Payers, TPAs, Providers) If this then that…. Find Patient’s like me (avatar based) Alerts (matching Clinical Trials etc) Edge API Mashery/ESG Clinical Trials Data Clinical Rx Claims Genetics data Payer Data Risk Stratification Intel Analytics PaaS Blueprint for E2E Personal Health Platform Gateway Ingestion Analytics
- 12. Intel Health & Life Sciences Make it personal. Summary: Why Intel
Notas del editor
- What is fueling the promise of growth in the Consumer/Community Health segment?
- Experience = Engagement, Efficiency, Effectiveness
- - 10k baby boomers turn 65 everyday 2019 ; 90% managing @ least 1 CHRONIC illness Over 10 million newly insured US citizens Limited pool of primary care physicians --- stressed PAYMENT REFORM: Value vs. volume – expands continuum of care to demonstrate value Source 1 – Aging Population: United Nations, Population Ageing and Development 2009, http://www.un.org/esa/population/publications/ageing/ageing2009chart.pdf Number of persons aged 60 or over In 2009, an estimated 737 million persons were aged 60 years or over and constituted the “older population” of the world, nearly two thirds of whom lived in developing countries. Their number is projected to increase to 2 billion in 2050, by which time older persons will outnumber children (persons aged 0 to 14 years). Today, more than half of the older population lives in Asia (54 per cent) and a fifth lives in Europe (21 per cent). In 2050, 22 percent of the world population is projected to be 60 years or over. Source 2 – Rising Costs: Bain & company, 2011. From “The Great Eight: 20 Trillion Growth Trends to 2020.” , ·http://www.bain.com/Images/BAIN_BRIEF_8MacroTrends.pdf A shift in global growth. Although we will continue to see pockets of economic turbulence, look for the global economy to expand at a 3.6 percent annual rate over the longer term, resulting in world GDP swelling to $90 trillion by 2020 - 40 percent larger than it is today. http://www.pwc.com/us/en/health-industries/publications/build-and-beyond.jhtml Source: PricewaterhouseCoopers Global spending on healthcare will surge by $71 trillion—an increase of more than 50%—by 2020, with the greatest growth coming from emerging markets in Brazil, Russia, India, and China, according to a new report from PricewaterhouseCoopers. Source 3 – Worker Shortage: World Health Organization, 2007, http://www.who.int/mediacentre/news/releases/2007/pr05/en/ According to the World Health Organization, the world is facing a shortage of 4.3 million health workers, with every region except Europe showing a shortfall. More specifically, there are not enough skilled health workers – doctors, nurses or midwives – to attend all the world's births. Source 4 – Inefficiency and Poor Patient Experience: The Institute of Medicine, "Better Care at Lower Cost" report http://iom.edu/Reports/2012/Best-Care-at-Lower-Cost-The-Path-to-Continuously-Learning-Health-Care-in-America.aspx
- Healthcare IOT is best broken down into 3 areas: Wearable, Remote and Clinical. We have existing solutions and projects in flight in all 3 areas. More details can be provided if interested. Wearable Health include Activity Monitors, but will also include Clinical Wearables in the future as Medical Device OEMs adopt consumer technology for less invasive techniques. Remote Health has significant market potential with Home usage models including monitoring (to reduce readmission), clinical trials and independent living solutions. Clinical Health has existing efforts to increase the interoperability of devices (M2M) that could be viewed as a similar workload consolidation challenge as Industrial. Asset Management will also be a big use case. 2 easy examples are tracking disposables used for insurance billing or the location of the closest infusion pump (lost down a corridor of hospital)
- Here’s the Intel vision for Big Data Analytics in Health & Life Sciences. Today, health and life sciences data is siloed for the most part; healthcare providers manage and maintain clinical data, payers the claims data, life sciences organizations manage clinical trials data and high throughput screening libraries and the consumer, or patient, owns wellness information relating to exercise, diet, etc. If the objective is a patient-centered approach, the current model is obviously far from optimal. Integrating data from multiple silos is required for transformative insights and opportunities. Coming up, you’ll hear how Intel is helping one of our healthcare provider customers more accurately predict which patients are at risk to be readmitted to the hospital within 30 days of discharge by combining data from the hospital electronic health record with socio-economic data from external sources. We need to move to a person or patient-centered model with integrated computing and integrated data where analytics is built into the patient care workflow as an accepted and required actor. This will lead to better decisions, improved patient experience, improved healthcare outcomes and reduced cost. Our vision is to extend personalized medicine to everyone on the planet, where care protocols are customized to a patient’s specific medical condition (or more likely combination of conditions) as well as their genomic profile. In the remainder of this course, we’ll focus on real-world use cases, and how Intel has worked in concert with partners to deliver Big Data Analytics solutions that create customer value and help advance this vision.
- There are three key forces that drive us to think about a horizontal platform approach. growth in software and services within IoT outpace that of the underlying silicon and OS by ~3X. There is more value in IoT up the stack in delivering the value added services and applications from the data generated by machines and things. Second is the key pain points of security and interoperability. Market research from IDC, Goldman Sachs and others all agree that security is a top concern. Our own customers validate this as well. Interoperability up and down the IoT stack from sensors to cloud is critical and today a lot of heavy lifting. Also critical is integration with existing systems of assets that still have useful life in a deployment. (OT/IT integration) Third is the need to scale across verticals. The industry will be less efficient if pure vertical solutions are created for all the different sectors and applications. You need to secure devices, move data, store data, analyze data and create service or value with that data. At the top you need to have the applications and software for your particular sector and use case. Intel IoT Platform The Intel® IoT Platform is an end-to-end reference model and family of products from Intel and the industry that provides a foundation for seamlessly and securely connecting devices, delivering trusted data to the cloud, and delivering value through analytics. By providing modular building blocks we accelerate time to market for our customers and reduce cost of deploying and maintaining IOT solutions. Our horizontal building blocks are focused on: Scalable compute from edge to cloud Quark to Xeon: Device, Gateways, Datacenter Data management and analytics from sensor to datacenter Cloudera and Service Creation Platform Security to deliver trusted data to applications that deliver value Intel Security and Wind River Our strategy is to develop a horizontal platform that scales. The “Haystack” model shows this visually. Intel will focus on the area in the middle of this stack by providing interoperable HW and SW solutions for connecting, managing and securing devices/things. We will align with ecosystem and new channel/GTM partners to bring this horizontal platform into vertical market segments. Bottom line is that across these verticals there is currently a heavy investment in the plumbing to get these solutions to work. Intel has the opportunity to seize this and also drive increased levels of managebilty and security as differentiation via a horizontal solution. (next slide)
- 1. eHealth - digitize 2. Open Health - collaborate 3. Smart Health - personalize
- 1. eHealth 2. Open Health 3. Smart Health