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Agenda Overview — Healthcare — October 29-November 2, 2017
Pre-Conference Workshops: Sunday, October 29, 2017
Full-day Workshop
Big Data: Proven Methods You Need
to Extract Big Value

Vladimir Barash, Graphika
Morning Session Workshop
R Bootcamp: For Newcomers to R
Max Kuhn, RStudio
Full-day Workshop
R for Machine Learning:
A Hands-On Introduction

Max Kuhn, RStudio

DAY 1, Monday, October 30, 2017
(PAW Business runs in parallel on this day - dual registration required)
Conference Moderator: Steven Ramirez, Beyond the Arc

All Sessions will Take Place in Room 1E13, Located in Hall 1E
Exhibit Hall Hours are Monday 8:00am - 7:00pm and Tuesday 8:00am - 3:30pm

8:00-8:30am Registration
Room: Hall 1E

8:00-8:30am Networking over Coffee
Room: Exhibit Hall

8:30-8:35am Conference Founder Remarks
Eric Siegel, Predictive Analytics World
8:35-8:50am Conference Chair Welcome
Jeff Deal, PAW Healthcare
8:50-9:45am
KEYNOTE
Digital Medicine: Returning Patients to the Center of Healthcare
Dr. George Savage, Proteus Digital Health
9:45-10:30am Exhibits & Morning Coffee Break
Room: Exhibit Hall

10:30-11:15am
Risk Modeling
Case Study: OSF Healthcare System
The Tale of Two Models: Identifying High Risk Patients in an Ambulatory Setting
Chris Franciskovich, OSF Healthcare
Jason Weinberg, OSF Healthcare
11:20am-12:05pm
Oncology Analytics
Case Study: QuintilesIMS
Using Deep Learning to Identify the Key Triggers of Initiating Patient First Line Treatment:
An Oncology Case Study

Yilian Yuan, QuintilesIMS
Yunglong Wang, QuintilesIMS
12:05-1:35pm Lunch
Room: Exhibit Hall

1:35-2:30pm Special Plenary Session
Thinking Hard and Soft: The Clash of Data Science, AI, and Human Expertise

Dr. John Elder, Elder Research, Inc.
2:40-3:00pm
Quality Evaluation
Case Study: Public Health Data
Evaluating the Quality of State's Healthcare Using Big Data Analytics
Feras Batarseh, George Mason University
3:05-3:25pm
Healthcare Resource Planning
Machine Learning for Health Care Fraud Detection
Aleksander Lazarevic, Aetna
3:25-3:55pm Exhibits & Afternoon Coffee Break
Room: Exhibit Hall

3:55-4:40pm
Assessing Risk of Antibiotic Resistant Superbugs
Case Study: University of Virginia Medical Center
Predicting Patient Risk of Acquiring Antibiotic Resistant Superbugs from the Environment

John Ainsworth, UVA Medical Center
4:45-5:30pm
Influencing Behavior
Creating Engaging Patient Journeys with Persuasion Modeling
Erek Dyskant, BlueLabs
5:30-7:00pm Networking Reception
Room: Exhibit Hall

5:30-7:00pm Dinner with Strangers
Meet at Registration

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DAY 2, Tuesday, October 31, 2017
(PAW Business runs in parallel on this day - dual registration required)
Conference Moderator: Steven Ramirez, Beyond the Arc

All Sessions will Take Place in Room 1E13, Located in Hall 1E
Exhibit Hall Hours are Monday 8:00am - 7:00pm and Tuesday 8:00am - 3:30pm

8:00-9:00am Registration
Room: Hall 1E

8:00-9:00am Networking over Coffee
Room: Exhibit Hall

9:00-9:05am Conference Chair Welcome
Jeff Deal, PAW Healthcare
9:05-10:00am
KEYNOTE
Healthcare Analytics: Why is this so expensive and hard?
And what are we getting for our money?

Dr. Pamela Peele, UPMC Health Plan & UMPC Enterprises
10:00-10:45am
Analytics for Emergency Response
Case Study: Merck
Predicting Survival in Lung Cancer Based on Early Clinical Readouts using
Modeling of Literature Data

Anna Kondic, Merck
10:45-11:15am Exhibits & Morning Coffee Break
Room: Exhibit Hall

11:15am-12:00pm
Industry Update
State of Precision Medicine: Where it is Headed and
How to Discern the Signal from the Noise

Brendan Fitzgerald, HIMSS Analytics
Matt Schuchardt, HIMSS Analytics
12:00-1:25pm Lunch
Room: Exhibit Hall

1:25-2:10pm
KEYNOTE
State of the Data Science in Healthcare

Dr. Ken Yale, DDS, JD, Delta Dental of California
2:10-3:00pm Expert Panel
Is there an "Easy Button" for Healthcare Analytics?

Moderator: Jeff Deal
Panelists:
Dr. John Elder, Elder Research, Inc.
Dr. Ken Yale, Delta Dental of California
Dr. Pamela Peele, UPMC Health Plan & UPMC Enterprises
3:00-3:30pm Exhibits & Afternoon Coffee Break
Room: Exhibit Hall

3:30-4:15pm
Drug Development Analytics
Case Study: Disease Outbreak in New York City
Legionnaires' Disease in New York City:
Analytics of the Built Environment for Emergency Services

Simon Rimmele, New York City - Mayor's Office
4:15-5:00pm
Building an Analytics Team
Case Study: OSF Healthcare System
The Benefits and Challenges of Building an In-House Data Science Team
Juli Plack, OSF Healthcare System
Chris Franciskovich, OSF Healthcare System




Post-Conference Workshops: Wednesday, November 1, 2017
Full-day Workshop
The Advanced Data Preparation Bootcamp: Whip your Data into Shape
Dean Abbott, Abbott Analytics
Full-day Workshop
The Best and the Worst of Predictive Analytics:
Machine Learning Methods and Common Data Science Mistakes

Dr. John Elder, Elder Research, Inc.
Full-day Workshop
Spark on Hadoop for Machine Learning: Hands-On Lab
James Casaletto, MapR Technologies


Post-Conference Workshop: Thursday, November 2, 2017
Full-day Workshop
Supercharging Prediction with Ensemble Models
Dean Abbott, Abbott Analytics

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Program by: Elder Research, Inc.
Elder Research, Inc.

Produced by Prediction Impact, Inc. and Rising Media, Inc.

Predictive Analytics Company           Predictive Analytics Event Producer