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The Analytics Journey to
Population Health Management
Changing expectations and new
technologies are critical drivers
transforming the healthcare industry:
HEALTHCARE
TRANSFORMATION
ibm.co/healthcareanalytics
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.
ibm.co/healthcareanalytics
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.
ibm.co/healthcareanalytics
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
ibm.co/healthcareanalytics
Poor quality and outcomes, health
care inefficiency, out-of-control costs
Annual Excess Costs in Operational Processes
Transforming Healthcare through
Population Health
ibm.co/healthcareanalytics
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.
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
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
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
Start your analytics journey at
ibm.co/healthcareanalytics

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The analytics journey to population health management

  • 1. The Analytics Journey to Population Health Management
  • 2. Changing expectations and new technologies are critical drivers transforming the healthcare industry: HEALTHCARE TRANSFORMATION ibm.co/healthcareanalytics
  • 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. ibm.co/healthcareanalytics
  • 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. ibm.co/healthcareanalytics
  • 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
  • 6. ibm.co/healthcareanalytics Poor quality and outcomes, health care inefficiency, out-of-control costs Annual Excess Costs in Operational Processes
  • 7. Transforming Healthcare through Population Health ibm.co/healthcareanalytics 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
  • 11. Start your analytics journey at ibm.co/healthcareanalytics