AI reads your cancer care wishes — could it keep you out of the hospital?
NCT ID NCT07735442
First seen Jul 30, 2026 · Last updated Jul 31, 2026 · Updated 1 time
Summary
This trial tests whether sending AI-generated summaries of a patient's serious illness conversations to their care team at hospital admission can improve care. The summaries, created by a large language model, highlight the patient's goals and preferences. The study enrolls adults with cancer who have a high risk of dying in the next year. Researchers will measure whether this approach reduces the number of days patients spend in the hospital over the following 90 days.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- LLM-generated serious illness conversation summary email to clinical teams
- What this could lead to
- If it works, this could help cancer patients spend less time in the hospital by ensuring their care preferences are known and acted on by every doctor they see.
- What could go wrong
- This is a pragmatic pilot trial, so results may not apply broadly. The AI summaries depend on accurate documentation, and the intervention is limited to specific admission times and cancer types.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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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
Locations
-
Brigham and Women's Hospital
Boston, Massachusetts, 02214, United States
-
Dana Farber Cancer Institute
Boston, Massachusetts, 02215, United States
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