Optimizing Healthcare Predictive & Prescriptive Models through 3 Perspectives

May 23, 2019 1:00pm - 2:00pm EDT
Virtual Event
Member Cost: $
0
Non-Member Cost: $
0

Turn Data into Action

Guest Speaker(s):

Jason Jones, PhD
Chief Data Scientist | Health Catalyst 

 

Description

In healthcare we tend to think of predictive or prescriptive model building and deployment as technical challenges. Successful adoption of these models heavily depends upon behavior change and requires more than technical accuracy. We do not put enough emphasis on the importance of change management. This disorientation leads to uneven adoption and results. While prediction algorithms abound, tools to facilitate change management remain scarce. Jason Jones, Chief Data Scientist, Health Catalyst discusses how to achieve model understanding and optimization to help you drive action and deliver better outcomes using three perspectives: functional, contextual, and operational.  

Learning Objectives

  1. Assess how predictive or prescriptive model endeavors are more a change management challenge than a technical one
  2. Evaluate three types of model comprehension

  3. Translate learnings from a use case to your own organization 

 

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Event Contact Information

Shelley Price, MS, FHIMSS
,
Director, Payer and Life Sciences
Email: 
sprice@himss.org
Predictive Analytics, Prescriptive analytics, model, use case, Clinical & Business Intelligence, Health IT, Global, HIMSS