Limiting post-discharge risks: AI-supported approaches and their impact on patient care

Thursday, November 14th, 2024 | 12:00 PM - 1:00 PM CT 

When patients leave the hospital, the hope is they won't return soon; but that's often not the case. Post-discharge mortality and readmissions can be a crucial metric in financial and reputational value.

Organizations have struggled to find successful strategies to modify post-discharge mortality and readmissions. The problem seems intractable, but it’s not. Advances in technology can identify the small subset of patients who have the greatest impact on those outcomes and help clinicians deliver more targeted post-discharge care. 

Join experts from Houston Methodist as they discuss the challenges and advantages of an AI-driven approach. 

Learn about:
 
  • How AI can be used to predict inpatient risk in real-time
  • Why follow-up visits are important in reducing mortality and readmission rates
  • What it takes to build buy-in for AI technology with your leadership



Presenters:

Dobbs - Somer Sinnard

Stuart Dobbs, MD

Chief Quality Officer, Houston Methodist Hospital

Campbell-modified

Brenda Campbell, RN

Sr. Consultant Health System Innovations, Houston Methodist

Chamoun-modified

Nassib Chamoun

Founder, President, and CEO, Health Data Analytics Institute