Session ID: 
185

Real-Time Adverse Event Predictive Model Reduces Readmissions

4:00pm - 5:00pm Wednesday, February 13
Orlando - Orange County Convention Center
W314B

Description

Sixty-three percent of the 3.3M patients readmitted to hospitals annually are avoidable. Costing $3.5 billion at approximately $5.6 million per hospital, adverse drug events (ADE) significantly contribute to readmissions and are the leading cause of preventable patient harm. In this final module of the Life Sciences Forum, explore how one health organization developed a real-time predictive algorithm that identifies hospitalized patients at high risk for an ADE, facilitates timely pharmacy-led interventions, and screens 45,000 inpatients, preventing 500 ADEs and reducing 30-day readmission rates by 4%. The innovation is easily replicable and scalable across settings.

Learning Objectives: 

  • Define adverse drug event and its impact
  • Summarize the concept of pharmacy-led interventions
  • Illustrate design thinking framework and end user collaboration

Speaker(s): 

Associate Director,
Parkland Hospital & Health System
VP Clinical Innovation ,
PCCI: Parkland Center For Clinical Innovation
Continuing Education Credits: 
ACHE
1.00
ACPE
1.00
CAHIMS
1.00
CME
1.00
CNE
1.00
CPHIMS
1.00

Audience: 

Chief Quality, Chief Clin Transformation Officer
CMIO/CMIO
Pharmacy Professional

Level: 

Intermediate