Predictive Health
Population Analytics
Veera S Raghavan
Executive Director & Global Practice Head
Healthcare and Life Sciences
Dell Services
October 2015
Veeraraghavan@dell
Dell - Internal Use - Confidential
2
Modifiable health
Adapted by DrNick from 2009 Continua Health Alliance -Brigitte Piniewski, MD
0 25 65
IllnessPre-IllnessWellness
Unpredictable Health
Predictable (Rules-based) Health
Age
Death
60-80% Lifestyle
Dell - Internal Use - Confidential
3
To put it another way….
Adapted by DrNick from 2009 Continua Health Alliance -Brigitte Piniewski, MD
0 25 65 Age
IllnessPre-IllnessWellness
Death
Fun
No Fun
Dell - Internal Use - Confidential
4
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.
Dell - Internal Use - Confidential
5
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 patients
by using analytics and historic data to more
accurately predict test outcomes and
likelihood of impending cardiac events
reduceER doctors
were able to
Dell - Internal Use - Confidential
6
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 records
Electronic medical record
Patient health management
EMR
Information
driven
decision
making
Lab/eRx
Hospital
Physician
Payer
EMR
Interoperability
BI & analytics
Phase 1 Phase 2 Phase 3
Move and exchange data
Analyze and manage data
Population
health records
EMR
EMR
Dell - Internal Use - Confidential
7
What can you do with your big data?
From reporting to search, discovery and prediction
RetrospectiveDataReporting
Real-time
Unstructured
Multiple
sources
Volume
Population 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 Mgmt
Payment/Pricing
R&D
Public Health
CRM
Marketing Promotion/Health Campaigns
Comparative Effectiveness Research
Population
health records
Dell - Internal Use - Confidential
8
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.
Dell - Internal Use - Confidential
9
Delivery – highly unorganized in diff formatsDelivery – highly unorganized in diff formats
Focus on India
60%
40
20
0
58
45
34
31
13
11
7
World average: 18
India Indo
nesia
China Brazil Norway US South
Africa
Out of Pocket Health Expenditure (as a % of total expenditure on health)
Dell - Internal Use - Confidential
10
Where & how do we start?
Collect targeted operational data – wait times, time &
motion studies, inventory to focus on operational
analytics to drive bottom-line improvements
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 improvements
Implement 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 opportunities
Role of
Government,
Health Ministry,
Industry
associations in
defining and
enforcing data
standards
Regulate
Industry
through data
Dell - Internal Use - Confidential
11
Hospital-IT-in-a-Box solution
Core 4-stack solution
Secure 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
SaaS
Enterpriseimage
management
PRM
Tele
medicine
BPM
Analyse Design Develop
Enhance Deploy
CRM
Sales force automation
Referrals
Camp
module
Dell
end-to-end
solution
Thank you
Veera_s_raghavan@dell.com

Predictive Health Population Analytics

  • 1.
    Predictive Health Population Analytics VeeraS Raghavan Executive Director & Global Practice Head Healthcare and Life Sciences Dell Services October 2015 Veeraraghavan@dell
  • 2.
    Dell - InternalUse - Confidential 2 Modifiable health Adapted by DrNick from 2009 Continua Health Alliance -Brigitte Piniewski, MD 0 25 65 IllnessPre-IllnessWellness Unpredictable Health Predictable (Rules-based) Health Age Death 60-80% Lifestyle
  • 3.
    Dell - InternalUse - Confidential 3 To put it another way…. Adapted by DrNick from 2009 Continua Health Alliance -Brigitte Piniewski, MD 0 25 65 Age IllnessPre-IllnessWellness Death Fun No Fun
  • 4.
    Dell - InternalUse - Confidential 4 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.
  • 5.
    Dell - InternalUse - Confidential 5 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 patients by using analytics and historic data to more accurately predict test outcomes and likelihood of impending cardiac events reduceER doctors were able to
  • 6.
    Dell - InternalUse - Confidential 6 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 records Electronic medical record Patient health management EMR Information driven decision making Lab/eRx Hospital Physician Payer EMR Interoperability BI & analytics Phase 1 Phase 2 Phase 3 Move and exchange data Analyze and manage data Population health records EMR EMR
  • 7.
    Dell - InternalUse - Confidential 7 What can you do with your big data? From reporting to search, discovery and prediction RetrospectiveDataReporting Real-time Unstructured Multiple sources Volume Population 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 Mgmt Payment/Pricing R&D Public Health CRM Marketing Promotion/Health Campaigns Comparative Effectiveness Research Population health records
  • 8.
    Dell - InternalUse - Confidential 8 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.
  • 9.
    Dell - InternalUse - Confidential 9 Delivery – highly unorganized in diff formatsDelivery – highly unorganized in diff formats Focus on India 60% 40 20 0 58 45 34 31 13 11 7 World average: 18 India Indo nesia China Brazil Norway US South Africa Out of Pocket Health Expenditure (as a % of total expenditure on health)
  • 10.
    Dell - InternalUse - Confidential 10 Where & how do we start? Collect targeted operational data – wait times, time & motion studies, inventory to focus on operational analytics to drive bottom-line improvements 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 improvements Implement 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 opportunities Role of Government, Health Ministry, Industry associations in defining and enforcing data standards Regulate Industry through data
  • 11.
    Dell - InternalUse - Confidential 11 Hospital-IT-in-a-Box solution Core 4-stack solution Secure 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 SaaS Enterpriseimage management PRM Tele medicine BPM Analyse Design Develop Enhance Deploy CRM Sales force automation Referrals Camp module Dell end-to-end solution
  • 12.