Smarter scoring could slash hospital return rates
NCT ID NCT07690657
First seen Jul 08, 2026 · Last updated Jul 09, 2026 · Updated 1 time
Summary
This study tests whether using a new risk-prediction model (C-HARP) to assign follow-up phone calls after hospital discharge works better than the current standard method. About 5,000 adults leaving the hospital will be assigned to one of two allocation strategies. The goal is to see which approach reduces unplanned readmissions or death within 30 days.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- C-HARP risk prediction model
- What this could lead to
- If successful, this could help hospitals better target follow-up care to the patients who need it most, reducing unnecessary readmissions.
- What could go wrong
- The study is observational in nature and compares prediction models, so it may not prove that one method directly causes fewer readmissions. Results may also vary across different hospitals.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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The University of Michigan
Ann Arbor, Michigan, 48109, United States
Contact
Contact Phone: •••-•••-•••• Email: •••••@•••••
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