Insights as a Service

Balaji R. Krishnapuram

Distinguished Engineer, Director of

Analytics, IBM Watson Health

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

Pre-Clinical Chronic Care Evidence-generated data horizon

Longitudinal Patient Records yield Real World Evidence

(RWE) for individuals and populations

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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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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

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

Integrated Health & Life Sciences Insights-as-a-Service Platform

Develop

Predictive/Descrip

tive Analytics

Pipeline

Co

nn

ecto

rs t

o S

yste

ms

of

Rec

ord

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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Ma

rke

tpla

ce

Patient data

Analytics Runtime-as-a-Service

Capabilities & Solutions

8

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

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

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

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2

3

4

Each patient is represented

once within the dataset

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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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Find Key Drivers

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Build Predictive Models

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Explore Further

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Analyze Utilization

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Deploy to model to care managers

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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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Ecosystem Solutions

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 deployment Marketing effectiveness Off-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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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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