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Agenda Overview – Healthcare – October 6-7, 2014
Pre-Conference Workshop: Sunday, October 5, 2014
Full-day Workshop
R for Predictive Modeling Hands-On:
Business and Healthcare

Max Kuhn, Director, Nonclinical Statistics, Pfizer
Room: Federal
Full-day Workshop
Big Data: Proven Methods
You Need to Extract Big Value

Vladimir Barash, Senior Researcher, Graphika
Room: Beacon

Day 1: Monday, October 6, 2014 • Sessions will take place in Federal
(Business-focused PAW runs in parallel on this day - dual registration required)
8:00-8:30am Registration & Networking Breakfast
Room: Commonwealth Hall
8:30-8:35am Conference Founder Remarks
Eric Siegel, Predictive Analytics World
8:35-8:50am Conference Chair Welcome
Jeff Deal, PAW Healthcare
8:50-9:05am Gold Sponsor Presentation
Applying Predictive Analytics to Improve Healthcare
Delivery and Outcomes– Lessons Learned

Thomas Hill, Dell Software Group / StatSoft
Dell Logo
9:05-10:00am
Keynote
Big Data and Clinical Decision Support
Marty Kohn, MD, JointlyHealth
10:00-10:30am Exhibits & Morning Coffee Break
Room: Commonwealth Hall
 
Track Sponsored by:
10:30-11:15am
Predicting Disease and Infection
Case Study: Baptist Health
Predicting the Invisible Patient: Using Predictive Analytics to Reduce Suffering, Save Lives, and Optimize Cost of Care
Katrina Belt, Baptist Health
11:20am-12:05pm
Disease Modeling
Case Study: Southern Nazerene University
Developing a Mortality Prediction Model for Disseminated Intravascular Coagulation (DIC)
Linda Miner, PhD, Southern Nazerene University
12:05-1:30pm Lunch in the Exhibit Hall
Room: Commonwealth Hall
1:30-2:15pmSpecial Plenary Session
The Peril of Vast Search (and How Target Shuffling Can Save Science)
Dr. John Elder, Elder Research, Inc.
2:15-2:35pm Sponsor Presentation
Preventable Hospital Readmissions are a Significant – yet Avoidable – Cost

Nish Hartman, Predixion Software
2:40-3:00pm
Predicting Insurance Costs
Case Study: Pensylvania Department of Public Welfare
Superutilizers Made Simple. Identifying High-Cost Recipients Using a Model Any Medicaid Agency Could Implement
Aran Canes, Open Minds
3:05-3:25pm
Personalized What-if Analysis
Case Study: Washington University St. Louis School of Medicine and PotentiaMED Using Predictive Analytics to Empower Cancer Patients through "MyCancerJourney"
Using Predictive Analytics to Empower Cancer Patients through "MyCancerJourney"
Robert Palmer, PotentiaMED
Jay Piccirillo, Washington University in St. Louis School of Medicine
3:25-3:55pm Exhibits & Afternoon Break
Room: Commonwealth Hall
3:55-4:40pm
Targeted Care Management
Case Study: ActiveHealth Management
Significant Improvements in Population Health Management
Ken Yale, JD, DDS, ActiveHealth Management
4:45-5:30pm
Readmission Risk
Case Study: UPMC Health Plan
Using Association Rule Mining to Identify Risks for Readmissions
Scott Zasadil, PhD, UPMC Health Plan
5:30-7:00pm Networking Reception
Room: Commonwealth Hall

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Day 2: Tuesday, October, 7, 2014 • Sessions will take place in Federal
(Business-focused PAW runs in parallel on this day - dual registration required)
8:00-8:45am Registration & Networking Breakfast
Room: Commonwealth Hall
8:45-8:50am Conference Chair Welcome
Jeff Deal, PAW Healthcare
8:50-9:05am Gold Sponsor Presentation
Real-Time Analytics: What is possible and how do you optimize performance
William Moschella, Evariant
9:05-10:00am
Keynote
Predictive Analytics: Advancing Precision and Population Medicine

George Savage, MD, Proteus Digital Health
 
Track Sponsored by:
10:00-10:45am
Claims Analytics
Case Study: DentaQuest
Improving Provider Performance and Patient Outcomes with Evidence-Based Scoring
Shaju Puthussery, DentaQuest
Daniel Bailey, Elder Research
10:45-11:15am Exhibits & Morning Coffee Break
Room: Commonwealth Hall
11:15am-12:00pm
Resource Optimization
Using Predictive Analytics to Forecast Hospital Patient Volume for Hospital Resource Allocation and Staffing
Nephi Walton, MD, Washington University
12:00-1:15pm Lunch in the Exhibit Hall
Room: Commonwealth Hall
1:15-2:00pm
Keynote
Real-Time Modeling of Surgical Site Infections

John Cromwell, MD, University of Iowa
2:00-2:15pm Vendor Elevator Pitches
         
2:15-3:00pm Expert Panel
Healthcare Analytics: Potential vs. Reality
George Savage, MD, Proteus Digital Health
John Cromwell, MD, University of Iowa
Ken Yale, JD, DDS, ActiveHealth Management
3:00-3:30pm Exhibits & Afternoon Break
Room: Commonwealth Hall
3:30-4:15pm
Deploying Risk Models
Case Study: State of Maine hospitals
Deploying Predictive Patient Risk Models through a Health Information Exchange (HIE)
Devore Culver, HealthInfoNet
4:15-5:00pm
Healthcare Informatics
Case Study: University of California, Irvine
Healthcare 2020: How Emerging Technologies Will Advance Clinical Practice and Research

Charles Boicey, Stony Brook Medicine


Post-Conference Workshop: Wednesday, October 8, 2014
Full-day Workshop
The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes
Dr. John Elder, CEO & Founder, Elder Research, Inc.
Room: Back Bay
Full-day Workshop
Supercharging Prediction:
Hands-On with Ensemble Models

Dean Abbott, President, Abbott Analytics
Room: Beacon 1

Post-Conference Workshop: Thursday, October 9, 2014
Full-day Workshop
Advanced Methods Hands-on: Predictive Modeling Techniques
Dean Abbott, President, Abbott Analytics
Workshop sponsored by:
Room: Beacon 1

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Program by: Elder Research, Inc.
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