Hitting the Sweet Spot with Predictive Analytics (Michael Draugelis)

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The document discusses creating and maintaining predictive healthcare solutions through a data science team that builds predictive models using a technology approach based on an open source big data stack and application platform to deliver predictive healthcare applications and care pathways that improve patient outcomes. It outlines the culture and strategy needed for a predictive healthcare organization, including having a chief data scientist lead various teams to execute projects that are reviewed at executive milestones.

Healthcare

3
Predictive Healthcare Vision
Success Factors
w  Strategy and culture
w  Program execution
w  Data wrestling and technology
Deliver predictive healthcare applications and care pathways that
greatly improve patient health and wellness.
Value propositions
w  Efficient health system utilization
w  Converge on diagnosis and
treatment
w  Discover new opportunities

4
Culture and Strategy: What’s expect from Data Science
Data Analyst (BI) Data Scientist
Studies the past and… Strategizes for and affects the future
Interprets and summarizes data and… Extrapolates, predicts, and prescribes
Estimates the known and… Estimates the unknown
Generates reports or dashboard and… Builds Data Products from advance
mathematical models and software
Driven by well defined business needs and… Driven to change clinician or patient behavior
to improve outcomes
“For ETL, hire data engineers
For reports, hire BI analysts”*
*Ten Ways Your Data Project is Going to Fail - http://www.martingoodson.com
Data Scientist as Analyst (BI)
Vs
Data Scientist as Builder (R&D)

5
Culture and Strategy : Predictive Healthcare Organization
Senior DS
Senior DS
Data Sci
Data Sci
Sr Software Engineer
Software Engineer
Software Engineer
Chief Data Scientist
Career Development & Training/ Technology Roadmap /
Partners & Collaboration/ New Program R&D
Central
Build Team
Executive Steering Committee
(CAO, CMIO, CFO, CMO, CIO, VP Quality, CNO)
Clinical Champions/PI
Quality Org
Finance
IS Data Engineers
IS App Team
IS EMR Team
Partners
Creating and
Maintaining
predictive
healthcare
solutions
It takes a village
CMIO
Clinical and Technology Strategy
Three large projects a year
Two to Four small project a year

6
“And this is where our ED workflow redesign team
went insane.”

7
Executive Review of Project Milestone
•  Opportunity review
•  Proof of concept
•  Scaled release plan
review
•  Clinical evaluation
•  Periodic monitoring and
release planning
Algo Proof of Concept (POC)
Data validation, standardize
Predictive model evaluation
Pathway POC Schedule
Pathway POC
Clinical pathway
Expected patient outcome
Culture and Org Schedule
Culture and Org POC
Workflow refinement
Socialization & communication
Define stakeholders & resources
Ensures executive ownership & buy-in
Project team accountability

8
Technology Approach
Application Platform
•  Pipeline orchestration
•  Data normalization and monitoring
•  Manage data updates, duplicates, & deletes
•  Model sharing and collaboration
Open Source Big Data stack
•  Scalable
•  Secure
•  Rapid re-staging
Mostly Build Vs. Buy
&
Open source or die
TRUSTED ANALYTICS PLATFORM (TAP)
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Hitting the Sweet Spot with Predictive Analytics (Michael Draugelis)

1. The grinding and unglamorous work Mike Draugelis, Chief Data Scientist Predictive Healthcare Strategy

2. 2

3. 3 Predictive Healthcare Vision Success Factors w  Strategy and culture w  Program execution w  Data wrestling and technology Deliver predictive healthcare applications and care pathways that greatly improve patient health and wellness. Value propositions w  Efficient health system utilization w  Converge on diagnosis and treatment w  Discover new opportunities

4. 4 Culture and Strategy: What’s expect from Data Science Data Analyst (BI) Data Scientist Studies the past and… Strategizes for and affects the future Interprets and summarizes data and… Extrapolates, predicts, and prescribes Estimates the known and… Estimates the unknown Generates reports or dashboard and… Builds Data Products from advance mathematical models and software Driven by well defined business needs and… Driven to change clinician or patient behavior to improve outcomes “For ETL, hire data engineers For reports, hire BI analysts”* *Ten Ways Your Data Project is Going to Fail - http://www.martingoodson.com Data Scientist as Analyst (BI) Vs Data Scientist as Builder (R&D)

5. 5 Culture and Strategy : Predictive Healthcare Organization Senior DS Senior DS Data Sci Data Sci Sr Software Engineer Software Engineer Software Engineer Chief Data Scientist Career Development & Training/ Technology Roadmap / Partners & Collaboration/ New Program R&D Central Build Team Executive Steering Committee (CAO, CMIO, CFO, CMO, CIO, VP Quality, CNO) Clinical Champions/PI Quality Org Finance IS Data Engineers IS App Team IS EMR Team Partners Creating and Maintaining predictive healthcare solutions It takes a village CMIO Clinical and Technology Strategy Three large projects a year Two to Four small project a year

6. 6 “And this is where our ED workflow redesign team went insane.”

7. 7 Executive Review of Project Milestone •  Opportunity review •  Proof of concept •  Scaled release plan review •  Clinical evaluation •  Periodic monitoring and release planning Algo Proof of Concept (POC) Data validation, standardize Predictive model evaluation Pathway POC Schedule Pathway POC Clinical pathway Expected patient outcome Culture and Org Schedule Culture and Org POC Workflow refinement Socialization & communication Define stakeholders & resources Ensures executive ownership & buy-in Project team accountability

8. 8 Technology Approach Application Platform •  Pipeline orchestration •  Data normalization and monitoring •  Manage data updates, duplicates, & deletes •  Model sharing and collaboration Open Source Big Data stack •  Scalable •  Secure •  Rapid re-staging Mostly Build Vs. Buy & Open source or die TRUSTED ANALYTICS PLATFORM (TAP) PENN SIGNALS

9. 9

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