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.
Experts from Houston Methodist and Health Data Analytics Institute (HDAI) 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
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