Speaker Presentation from U.S. News Healthcare of Tomorrow leadership summit, November 2-4, 2016 in Washington, DC. Find out more about this forum at www.usnewshot.com.

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