The document discusses how changing expectations, new technologies, and other drivers are transforming the healthcare industry towards population health management. These drivers include an aging population with more chronic diseases, increased regulations and competition, and skills and resource shortages. Technology is also driving change through increased mobile access, need for fast innovation, and growing data complexity. The transition is from reactive, volume-based care to proactive, value-based care aimed at improved health outcomes, better care, and reduced costs by managing populations through analytics of diverse healthcare data sources.
2. Changing expectations and new
technologies are critical drivers
transforming the healthcare industry:
HEALTHCARE
TRANSFORMATION
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3. 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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4. 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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5. ibm.co/healthcareanalytics
Disease and Cost-of-Care Progression
20% of people
generate
80% of costs
Healthcare spending
TIME 70% of US
deaths are from
chronic diseases
Health status
Early intervention
Opportunities identification
Early intervention
Opportunities identification
Healthy
low risk
At risk High risk
Early
clinical
symptoms
Active
disease
7. 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.
8. ibm.co/healthcareanalytics
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
9. 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
10. ibm.co/healthcareanalytics
“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 Nash
Founding Dean, Jefferson School of Population Health