1. Insights as a Service
Balaji R. Krishnapuram
Distinguished Engineer, Director of
Analytics, IBM Watson Health

2. Data & Knowledge Explosion: New data about
individuals, used in new ways helps determines health
status
6 Terabytes
Per lifetime
60%
Exogenous
Factors
1100 Terabytes
Generated
per lifetime
0.4 Terabytes
Per lifetime
30%
Genomics Factors
10%
Clinical Factors
2 IBM Watson Health // SOURCE: ©2015 J.M. McGinnis et al., “The Case for More Active Policy
Attention to Health Promotion,” Health Affairs 21, no. 2 (2002):78–93

3. Pre-Clinical Chronic CareEvidence-generated data horizon
Longitudinal Patient Records yield Real World Evidence
(RWE) for individuals and populations
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4. We describe an Insights as a Service that can help
addresses multiple clinical, scientific & economic needs.
Establish
product value
Individualize &
help clinicians
improve care
delivery to
patients
Communicate
and collaborate
amongst
ecosystem
stakeholders
using trusted
evidence
Identify unmet
medical need
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5. Analytics is maturing from research & consulting to
industrialized processes
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Researchers
Custom math & algorithms
Early commercialization
Artisanal / Consulting
Practitioners
Customized projects
Not repeatable
Industrialized/Repeatable
Professional
Division of labor
Automated / Tools
Processes
Standards
Integrated Pipelines/Platforms
50s-90s 2004-2012 2013-now

6. End-to-End Role-Based Workflow Integration improves
productivity 10x-100x
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CFO: Why did we lose money on the MSSP contract last
year? How do we break even this year?
CMO: How do we reduce abnormally high rate of
hospitalization among our diabetic population?
ACO director:
Define goals: cohorts & outcomes
Develop process improvement
programs
Plan staffing & coverage
Analyst:
Identify key drivers of cost,
utilization,… Predict which patients
are at highest risk for hospitalization
over next 3 mo
Deploy results to care managers/
clinicians in their EMR/Care Mgmt
s/w
Care Manager: Who are the top 100 patients I
need to focus on? Have all the evidence based
best practice been completed for my patients?
How do we best close care gaps?
MD/ RN: What is the full set
of tasks to be completed for
patients scheduled today?
Should I change the dose of
Metformin for Mr Jones
today?
Is my muscle pain due to Metformin –
should I stop taking the pill?
Should we change my dose due to the
high blood glucose reading last time?
Can you help me stay healthy without
needing to come in to the PCP all the
time?
Care
Team
Patient Data

7. Integrated Health & Life Sciences Insights-as-a-Service Platform
Develop
Predictive/Descrip
tive Analytics
Pipeline
ConnectorstoSystemsofRecord
EMR
Repositories
Deploy
Long Tem Storage
(HDFS, Hbase, Cloudant..)
Instrument/Measure
& Experiment
Connectors to Systems
of Engagement
Analytics Dev-as-a-Service
Data-as-a-Service
Insights-as-a-Service
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Marketplace
Patient data
Analytics Runtime-as-a-Service

8. Capabilities & Solutions
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Health Cloud
Foundational Services
Insights as a Service
360° data
warehouse
Care
Orchestration
Risk
Prediction
Self
Management
System
Design
Healthcare
Financial
Advisor
Care
Management
Real World
Evidence
Self Management Platform
Diabetes HTN
…
COPD

9. Illustrative Use Case: Transitioning from Volume to Value
Clinical
Billing
Claims
Aggregation +
Analytics
Financial
Operational
Drivers of
Cost &
Utilization
Personalized
Risk
Prediction
Self Service
Analytics
Others
50 M Lives

10. Generation of Real World Evidence
When a patient visits
a healthcare facility,
her clinical data are
captured in an
electronic medical
record (EMR)
A Health Data Gateway (HDG) connects
to provider source systems and pulls in
clinical, financial, and operational data
into a secure, private cloud
Explorys harmonizes the disparate patient data from
across the continuum of care and generates insights
that can help providers meet value-based care
metrics.
The data exhaust from the Explorys health care network is then
available to help identify trends, predict outcomes, accelerate drug
development, influence therapy choices, and improve patient care. RWE
1
2
3
4
Each patient is
represented
once within the
dataset
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11. Acquisition &
Storage Layer
Inpatient
EHRs
Patient
Portal
Pharmacy
Billing &
Accounting
Satisfaction
Surveys
Health Plans
Data
Warehouses
Laboratory HIE / HL7
Ambulatory
EHRs
Care
Mgmt.
Systems
Explorys HDG
Health Data Gateway
~ 2,000 live connectors
Data Curation
Engine
Patient Matching
Engine
Data Governance
Engine
Risk & Prediction
Engine
Measure and Gap
Engine
Registry & Work-List
Engine
Search
Engine
Patient Engagement
Engine
Report & Analytics
Engine
Engines
Layer
The Insights as a Service Platform creates evidence from data
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12. Find Key Drivers
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13. Build Predictive Models
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14. Explore Further
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15. Analyze Utilization
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16. Deploy to model to care managers
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17. Solutions
Population Health
Management
Condition
Specific Care
Health
and Wellness
Social
Programs
Discovery
Solutions
Real World
Evidence
Ecosystem
Population Health
Management
Condition
Specific Care
Health
and Wellness
Social
Programs
Discovery
Solutions
Real World
Evidence
Individual
Social
Programs
Education
Governments
Home Health
Agencies
Practitioners
Hospitals
Therapists
Health
Plans
Family
Public Health
Medical Devices
and Diagnostics
Bio-Pharma
Employers
Payers
Data
Insight
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EcosystemSolutions

18. Population Health
Management
Identify care gaps and
help clinicians deliver
timely, coordinated care
Social
Programs
Help ensure that care
approaches address
individuals' social
context
Real World
Evidence
Uncover health
interventions to inform
care approaches
Condition
Specific Care
Apply best care protocols
to help manage chronic
conditions
Health
and Wellness
Empower individuals to
live healthier, more
productive lives
Discovery
Solutions
Accelerate research
and improve
treatments options
...
Exogenous
data
Med device
Lab &
diag.
Clinical Genomic
Payments &
Claims
...
Terminology &
taxonomy
Published
texts
Scientific
journals
Medical
guidelines
Patient cohorts Disease progression
Risk
Factors
Population
Analytics
Adverse events Drug efficacy
Comparative
effectiveness
Pricing models
Provider segmentation
Sales deploymentMarketing effectivenessOff-label use
Patient-trial
Matching
Site Selection
Insights as a service delivered by Watson Health platform
Data and Knowledge Ingested by Watson health Platform
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19. IBM Watson Health
Watson Health is working to enhance,
scale and accelerate expertise across the
domains of health and wellness, and to
facilitate collaboration across the
communities of care.
IBM Watson Health // ©2015 International Business Machines Corporation #Watson Health
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