Predictive Health Population Analytics

Predictive Health Population AnalyticsVeera S RaghavanExecutive Director & Global Practice HeadHealthcare and Life SciencesDell ServicesOctober 2015

Veeraraghavan@dell

Dell - Internal Use - Confidential2

Modifiable health

Adapted by DrNick from 2009 Continua Health Alliance -Brigitte Piniewski, MD

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Unpredictable HealthPredictable (Rules-based) Health

Age

Death

60-80% Lifestyle

https://twitter.com/drnic1


To put it another way….

Adapted by DrNick from 2009 Continua Health Alliance -Brigitte Piniewski, MD

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Fun

No Fun

https://twitter.com/drnic1


Challenges: US example

$840B Annual healthcare spending with little or no effect on outcomes

$17B Annual avoidable readmission costs for Medicare patients

200-400K

Annual deaths as a result of “preventable harm” in hospitals

>3,300 Annual deaths due to asthma. Many of which are avoidable.


Analytics can make a difference: US example UPMC Health Plan reduced readmission rates

37% by identifying at-risk patients and providing personalized transition care and follow-up

58% reduction in surgical site infections at University of Iowa Hospitals and Clinics by providing real-time analytics during surgery

asthma care with email notifications to emergency rooms, case managers and asthma patients forecasting events likely to exacerbate symptoms

Optimize

tests and overnight stays for ER patientsby using analytics and historic data to more accurately predict test outcomes and likelihood of impending cardiac events

reduceER doctors were able to


Evolution of IT in healthcare delivery

As healthcare delivery evolves towards collaborative care models, the ability to share data and use it to improve decision making will be a key transformative milestone

Manage patient health

Capture and digitize recordsElectronic medical record

Patient health management

EMR

Information drivendecision making

Lab/eRxHospitalPhysicianPayer

EMR

Interoperability

BI & analytics

Phase 1 Phase 2 Phase 3Move and exchange

data

Analyze and manage data

Population health records

EMR

EMR


What can you do with your big data?From reporting to search, discovery and prediction

Retro

spec

tive

Data

Rep

ortin

g

Real-time

Unstructured

Multiple sources

VolumePopulation Analytics

Personalized Medicine

Performance Mgmt

Outcome Improvement

Clinical Decision Support

Disease Mgmt/Patient Compliance

Patient Profiling

Cohort Analysis

Fraud Detection

Health Economics & Outcome Research

Performance-based pricing Drug Discovery

R&D Resource Allocation

Clinical Trial Design

Personalized Medicine

Consumer Segmentation

Infectious Disease and Outbreak Detection

Patient Satisfaction & Behavior Analytics

Readmissions

Operation MgmtPayment/Pricing

R&DPublic Health

CRM

Marketing Promotion/Health Campaigns

Comparative Effectiveness Research

Population health records


Information-driven healthcare Seamlessly integrate big data and analytics into your workflow

• Operational reports

• Adhoc reports• Basic quality

reports

• Emergency dashboard

• Readmission rates

• HAI trends

• Gaps in care• Physician

scorecards and benchmarking

• Labor forecasting

• Population risk stratification

• Disease based risk models

• Readmission prediction

• Prescriptive analytics

• Patient flow optimization

• Network leakage and design

Reporting

Visualization

Inferences/ exceptions

Predictive analytics

Optimization

Hindsight

Insight

Foresight

Data Integration and Management

Enterprise Data Warehouse

Master Data Management/ Governance

Model Development

Change

Mgmt.


Delivery – highly unorganized in diff formatsDelivery – highly unorganized in diff formats

Focus on India

60%

40

20

0

58

45

3431

13 117

World average: 18

India

Indonesia

China Brazil

Norway

US South

Africa

Out of Pocket Health Expenditure (as a % of total expenditure on health)


Where & how do we start?

Collect targeted operational data – wait times, time & motion studies, inventory to focus on operational analytics to drive bottom-line improvements1

Collect targeted patient experience and satisfaction data through surveys, correlate with healthcare services and physicians, monitor trends over time to drive traffic CSAT and predictive customer (patient & referring physician) behavior for top-line improvements2Implement a light weight EMR to collect key clinical data points smartly. Drive outcomes research and clinical quality improvements. De-identify data to enable clinical trials, open new opportunities3

Role of Government, Health Ministry, Industry associations in defining and enforcing data standardsRegulate Industry through data

?


Hospital-IT-in-a-Box solution

Core 4-stack solutionSecure orchestrated Public cloud

Business Intelligence – Clinical Research, Executives & Operations

EMR (clinical functions)• Medical record• Diagnosis• Treatment plans• Prescription

• Discharge summary

• CPOE

ERP functions• Finance & accounting • HCM & payroll• Supply chain management

Administrative & finance functions (non-clinical)

Lab, Radiology & pharmacy mgmt

OP & IP management Housekeeping Blood Bank Patient Billing / claims mgmt

Ward management OT & CSSD Diet management

Hospital chain 1

Hospital chain 2

Hospital chain 3

SaaS

SaaS

SaaSEnte

rpri

se

imag

e m

anag

emen

t

PRM

Tele

med

icin

e

BPMAnalyse Design Develo

pEnhance Deploy

CRMSales force automation

Referrals Camp module

Dell end-to-end solution

Thank you

[email protected]

Predictive Health Population Analytics

Healthcare

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