Bigger wins!

Strengthen the business impact

delivered by predictive analytics

Click here for upcoming PAW events

Register Today!



Agenda Overview Healthcare October 23 - 26, 2016
Pre-Conference Workshop: Sunday, October 23, 2016
Three hour WorkshopRoom 1A02
R Bootcamp: For Newcomers to R
Max Kuhn, Pfizer
Full-day WorkshopRoom 1A03
Big Data: Proven Methods You Need
to Extract Big Value

Vladimir Barash, Graphika

Pre-Conference Workshop: Monday, October 24, 2016
Full-day WorkshopRoom 1A23
R for Predictive Modeling:
A Hands-On Introduction

Max Kuhn, Pfizer
Full-day WorkshopRoom 1A24
Advanced Methods Hands-on:
Predictive Modeling Techniques

Dean Abbott, Abbott Analytics, Inc
Sponsored by: Dell Statistica Logo


Day 1: Tuesday, October 25, 2016
(Business-focused PAW runs in parallel on this day - dual registration required)
All sessions will take place in Room 1A10
8:00-8:30am Registration & Networking Breakfast
Room: Exhibit Area 1A
8:30-8:35am Conference Founder Remarks
Eric Siegel, Predictive Analytics World
8:35-8:55am Conference Chair Welcome
Jeff Deal, PAW Healthcare
8:55-10:00am
KEYNOTE
Real World Data and the Transformation of Healthcare
Marty Kohn, Sentrian Health
10:00-10:30am Exhibits & Morning Coffee Break
Room: Exhibit Area 1A
10:30-11:15am
Proactive Care Management
Case Study: St. Joseph Healthcare
Real-Time, Clinical Driven Predictive Analytics for Care Management
William Wood, MD; St. Joseph Healthcare
Jessica Taylor, RN; St. Joseph Healthcare
11:20am-12:05pm
Improving ER Utilization and Efficiency
The Best of Both Worlds: Predictive Modeling Using Both Health Plan and Hospital Data
Scott Zasadil, Ph.D, UPMC Health Plan
12:05-1:40pm Lunch in the Exhibit Hall
Room: Exhibit Area 1A
12:15- 1:05pm
Lunch and Learn
HBI
Practical Advice for Integrating Predictive Analytics Into Your Clinical Care Management Workflow
William Wood, MD; St. Joseph Healthcare
Jessica Taylor, RN; St. Joseph Healthcare
Alan Eisman, HBI Solutions, Inc
1:40-2:30pm Special Plenary Session
Doing Space-Age Analytics with Our Hunter-Gatherer Brains
Dr. John Elder, Elder Research, Inc.
2:40-3:00pm
Device Failure Analytics
Reducing Service Costs by Predicting Device Failures
Ion Nemteanu, Becton Dickinson
3:05-3:25pm
Increasing Program Enrollment
Case Study: Kaiser Permanente
Ready to Quit? Using Predictive Analytics to Increase Enrollment
in Smoking Cessation Programs

Melanie McLeod, Kaiser Permanente
3:25-3:55pm Exhibits & Afternoon Break
Room: Exhibit Area 1A
3:55-4:40pm
Early Warning System Development
Case Study: University of Virginia Health System
Developing a Custom Severe Sepsis Early Warning System for Deployment into Epic

John Ainsworth, University of Virginia Health System
4:45-5:30pm
Retrospective and Real Time Clinical Evaluation
Predictive Models for Retrospective and Real Time Evaluation of Septic Shock
Benjamin Dummitt, Ph.D.; Mercy Virtual
5:30-7:00pm Networking Reception
Room: Exhibit Area 1A

Go to Top of Page

Day 2: Wednesday, October 26, 2016
(Business-focused PAW runs in parallel on this day - dual registration required)

All sessions will take place in Room 1A10
8:00-9:05am Registration & Networking Breakfast
Room: Exhibit Area 1A
9:05-9:10am Conference Chair Welcome
Jeff Deal, PAW Healthcare
9:10-10:05am
KEYNOTE
Predictive Analytics, Genomics, and Precision Medicine -
Separating the Hype from the Reality

Nephi Walton, Washington University School of Medicine; BrainSpin
Ken Yale, JD, DDS, ActiveHealth Management
10:05-10:50am
Managing EHR Systems
Case Study: Montefiore Medical Center
Re-Engineering Electronic Health Record Systems to Facilitate Clinical
Analytics in the Intensive Care Unit

Michelle Gong, MD; Montefiore Medical Center
10:50-11:15am Exhibits & Morning Coffee Break
Room: Exhibit Area 1A
11:15am-12:00pm
Preventative Care Analytics
Case Study: Omada Health
What Healthcare Can Learn from Netflix: Building Personalization
and Optimization into Preventative Care

Eric Williams, Ph.D.; Omada Health
12:00-1:15pm Lunch in the Exhibit Hall
Room: Exhibit Area 1A
1:15-2:00pm
KEYNOTE
Brain-Machine Interface Technology: Separating Hope from Hype

Wasim Malik, Ph.D.,Harvard/MIT Laboratory for Neuromotor Signal Processing
2:00-2:15pm Sponsor Presentation
Big Data Challenges and Best Practices

Thomas Hill, Dell Software Group
dell
2:15-3:00pm Expert Panel
Predictive Analytics in Healthcare: What's Behind the Slow Adoption?
Moderator: Jeff Deal, PAW Healthcare
Wasim Malik, Ph.D.,Harvard/MIT Laboratory for Neuromotor Signal Processing
Nephi Walton, Washington University School of Medicine; BrainSpin
Ken Yale, JD, DDS, ActiveHealth Management
3:00-3:30pm Exhibits & Afternoon Break
Room: Exhibit Area 1A
3:30-4:15pm
Clinical and Operational Decision Analytics
Predicting Colorectal Cancer Mortality
David Anderson, Ph.D, Baruch College
4:15-5:00pm
Identifying Fraud
Case Study: Medicaid Fraud Control Unit, Indiana
Identifying Prescription Drug Fraud and Abuse
Jaya Tripathi, MITRE Corporation



Post-Conference Workshop: Thursday, October 27, 2016
Full-day WorkshopRoom 1A23
The Best and the Worst of Predictive Analytics:
Predictive Modeling Methods and Common Data Mining Mistakes

Dr. John Elder, Elder Research, Inc.
Full-day WorkshopRoom 1A24
Supercharging Prediction with Ensemble Models
Dean Abbott, Abbott Analytics
Sponsored by:
Full-day WorkshopRoom 1A11
Hadoop for Predictive Analytics: Hands-On Lab
James Casaletto, MapR Technologies

Go to Top of Page

© 2019 Predictive Analytics World | Privacy

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

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

Predictive Analytics Company           Predictive Analytics Event Producer