the analytics journey to population health management

11
The Analytics Journey to Population Health Management

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The Analytics Journey toPopulation Health Management

Changing expectations and new technologies are critical drivers

transforming the healthcare industry:

HEALTHCARETRANSFORMATION

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Demographics and Lifestyle• Expectations for better quality, value and outcomes• Aging population and escalating incidence of chronic disease

Increased Competition and Regulations• More regulations and compliance requirements• Technology enabled new competition

Resource Shortages• Shortage of right skills, capabilities and supplies• Shortage of consumer and provider based services

Healthcare-based driversI.

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Connected and Open• Proliferation of mobile devices and Internet access• Fosters collaboration within the ecosystem

Fast and Scalable• Anticipate unknown requirements and quickly address them• Reduced cost of innovation

Increasing Complexity—Yet Highly Consumable• Increased but masked complexity• Analytics and insights to drive decision making

Technology-based driversII.

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Disease and Cost-of-Care Progression

20% of peoplegenerate 80% of costs

Healthcare spending

TIME 70% of USdeaths are fromchronic diseases

Health status

Early interventionOpportunities identification

Early interventionOpportunities identification

Healthylow risk At risk High risk

Early clinical

symptoms

Activedisease

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Poor quality and outcomes, health care inefficiency, out-of-control costs

Annual Excess Costs in Operational Processes

Transforming Healthcare through Population Health

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Definition: “The health outcomes of a group of individuals including the distribution of such outcomes within the group.”The transition from volume- to value-based care with the goals of improved health, improved care and reduced cost.

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The Healthcare Data Environment

• Batch, real time, streaming• Files, messages, transactions• Standards based (e.g., HL7),

proprietary• Structured, unstructured• Text, images, sound• Complete, incomplete• Clean, dirty

EMR

ADT

Claims

Financial

Supply Chain

HIE

Notes/Reports

Reference/3rd Party Files

Medical Devices

Lab

ER

Surgery

Codes

Genomics

Registries

Images

Voice

Pathology of the world’s data was generated in just the last two years

90%

The data environment is complex but represents an opportunity if it can be harnessed

80%of data in healthcare is unstructured

• Batch, real time, streaming• Files, messages, transactions• Standards based (e.g., HL7),

proprietary• Structured, unstructured• Text, images, sound• Complete, incomplete• Clean, dirty

EMR

ADT

Claims

Financial

Supply Chain

HIE

Notes/Reports

Reference/3rd Party Files

Medical Devices

Lab

ER

Surgery

Codes

Genomics

Registries

Images

Voice

Pathology of the world’s data was generated in just the last two years

90%

The data environment is complex but represents an opportunity if it can be harnessed

80%of data in healthcare is unstructured

of the world’s data was generated in just the last two years

90%

80% of data in healthcare is unstructured

ibm.co/healthcareanalytics

The Healthcare Analytics Journey

Enterprise-wide Data Insights

Retrospective Reporting

Proactive Interventions and Improved Outcomes

Dynamic Learning for Optimal Care Guidance

Basic reporting

What happened?

What is happening?

What will happen?

What is the optimal treatment?

Foundational analytics

Predictive and prescriptive

Cognitive

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“There is nothing more important [in healthcare] than the transition from traditional medicine to population health and the implications that will have. No outcome, no income.”

Dr. David NashFounding Dean, Jefferson School of Population Health