Post on 25-Jul-2016
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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
0 25 65
Illne
ssPr
e-Ill
ness
W
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ess
Unpredictable HealthPredictable (Rules-based) Health
Age
Death
60-80% Lifestyle
Dell - Internal Use - Confidential3
To put it another way….
Adapted by DrNick from 2009 Continua Health Alliance -Brigitte Piniewski, MD
0 25 65 Age
Illne
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e-Ill
ness
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Death
Fun
No Fun
Dell - Internal Use - Confidential4
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.
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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
Dell - Internal Use - Confidential6
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
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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
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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 - Confidential9
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)
Dell - Internal Use - Confidential10
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
?
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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
Veera_s_raghavan@dell.com