Session ID: 
141

Managing Machine Learning: Insights and Strategy

1:30pm - 2:30pm Wednesday, March 7
Las Vegas - Venetian Convention Center
Palazzo D

Description

Machine learning has the potential to transform healthcare through new knowledge discovery and improved productivity, but many health systems do not have a business plan in place to support advanced analytics beyond research and development. As health systems consider how best to leverage machine learning and AI, it will require a shift in IT strategy to focus on not just data, but managing the model itself. This session will define the value of machine learning, provide a framework for evaluation and application, and share two use cases in the areas of information capture and prediction automation.

Learning Objectives: 

  • Summarize machine learning, its value to the business, and challenges to consider
  • Propose a framework for evaluating machine learning use cases
  • Demonstrate the operational and clinical benefits of machine learning in practice

Speaker(s): 

Associate Enterprise Architect,
Geisinger Health
Senior Data Engineer ,
Geisinger Health
Continuing Education Credits: 
ABPM
1.00
ACHE
1.00
CAHIMS
1.00
CME
1.00
CNE
1.00
CPHIMS
1.00

Audience: 

CIO, CTO
Physician, CMO, CMIO
Senior IT Executive

Level: 

Introductory

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