Session ID: 
244

Harness Insights to Drive Clinical Transformation

11:30am - 12:30pm Thursday, March 12
Orlando - Orange County Convention Center
W308A

Description

This session will discuss how to use machine learning, big data, and AI to achieve clinical performance improvement. The speakers share the strategies they are taking to engage clinicians in achieving significant clinical performance improvement, using more actionable and timely insights. This includes aligning on reporting across facilities and departments, implementing case-mix adjusted benchmarks, leveraging AI-driven analytics to pinpoint opportunities and identify root causes, and implementing change management processes to communicate insights, develop action plans, and track execution.

Learning Objectives

  • Discuss the benefits of using vast quantities of clinical, claims, lab, prescription and social determinants of health data to deliver more actionable insights
  • Describe how machine learning and artificial intelligence can be used in precise case mix adjustment
  • Identify how sports analytics models can be used to improve patient care
  • Assess how machine learning and artificial intelligence can be used to engage physicians in pinpointing unwanted variation
  • Identify questions to ask when assessing ML, AI and data vendors

Speaker(s)

Chief Executive Officer,
Clarify Health Solutions
Vice President, Digital Innovation,
Baylor Scott & White Health

Continuing Education Credits

ABPM
1.00
CAHIMS
1.00
CME
1.00
CNE
1.00
CPHIMS
1.00
PDU
1.00

Audience

Clinical Informaticists
CMIO/CMO
Management Engineer and Process Improvement Prof.

Level

Intermediate