The document discusses big data and analytics in healthcare. It notes that healthcare data is growing rapidly from a variety of sources like patients, providers, and payors. This data includes mostly unstructured clinical information. It also outlines some of the challenges in healthcare like technology limitations, data fragmentation, and lack of standards. The document proposes that big data solutions can help address these challenges by leveraging the volume, variety and velocity of healthcare data. This would help improve patient health through more effective communication and healthier lifestyle recommendations. It provides examples of logical and physical architectures for an enterprise data warehouse to store and process healthcare data at scale.
1. Big Data and Analytics in Healthcare
The Evolution, The Power, The Future
CSC 8710-001 – Presentation Final
Mohammed Shahnawaz Ali
2. Healthcare – The Landscape
The healthcare value chain comprises of information workflow for disparate set of data
including:
• Patients
• Providers
• Suppliers
• Payors
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3. Healthcare Data – The Explosion
• Healthcare data growth rate α _______1_______
consumption rate
• 80% of medical data is unstructured and clinically relevant
• Data resides in multiple places and sources
• Access to this data and factoring it into clinical and advanced analytics is
critical.
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4. Healthcare Data – The Demands
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Advances in technology, government mandates, are forcing healthcare to take
analytics seriously.
Healthcare industry is full of data that's just waiting to be dissected.
Trend with new models, like Accountable Care Organizations, is to incent and
compensate providers to keep patients healthy.
Patients increasingly demand information about their healthcare options to
make informed decisions about their care.
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5. Healthcare Data – The Challenges
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Technology laggard
Fragmentation
Security
Standards
Timeliness
• .
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6. Big Data – The Solution?
• Big data is already changing the way business decisions are made.
• Healthcare providers are leveraging big data and analytics for improving
patient health.
• Helps effective communication and encourage healthier lifestyles
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7. Big Data – The Vital Vs
• Volume
• Variety
• Velocity
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8. Healthcare – The Big Data Start
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Work with business units to articulate opportunities
Get up-to-speed on technology
Identify gaps between current and future-state capabilities
Develop use cases and test environment
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9. Healthcare Data – EDW Logical Architecture
Comprises of three areas of processing:
• Source Data Acquisition Process
• Data Conversion Process
• Data Cleansing + Mastering Process
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10. Healthcare Data – EDW Physical Architecture
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11. EDW – Processing Workflow
The healthcare data processing includes the following:
1. Data Enhancement
2. Data Standardization
3. Data Cleansing
4. Data Mastering
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15. Closing Notes
• To successfully identify and implement big data solutions, healthcare
organizations need to devote time and resources to visioning and
planning.
• Implementation of healthcare regulations with financial incentives are
leading healthcare organizations to embrace a digital environment for
healthcare information.
• Digital information can streamline clinical workflows, optimize care,
strengthen doctor-patient relationships, cut costs, and improve outcomes.
• With the ability to understand and act upon big data, organizations can
create a more efficient and effective healthcare industry – one that fosters
improved outcomes and greater patient engagement.
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