AI may predict patient decline at home before it happens
NCT ID NCT05045742
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tested a machine learning algorithm to predict if a patient being cared for at home would deteriorate. Researchers used data from over 500 patients to train the algorithm and compared its alerts to traditional vital sign alarms. The goal is to catch problems earlier and reduce emergencies.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to better early warning systems for patients being cared for at home, potentially reducing hospital readmissions and emergencies.
- What could go wrong
- This is a retrospective observational study, not a clinical trial testing a treatment. The algorithm may not work as well in real-time or in different patient populations.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
-
526 people
The number who actually took part.
- Started
-
Mar 2021
- Finished
-
Feb 2026
- Lead sponsor
-
Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Subjects admitted at Brigham and Women's Hospital and Brigham and Women's Faulkner Hospital who meet primary diagnosis, age, and geographic residence requirements and are enrolled in home hospital.
- Ages
-
18 years and older
- Sex
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Anyone
- Healthy volunteers
-
Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: Cared for in the Brigham and Women's Home Hospital study Exclusion Criteria: Incomplete continuous monitoring data
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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 Faulkner Hospital
Boston, Massachusetts, 02130, United States
-
Brigham and Women's Hospital
Boston, Massachusetts, 02115, United States
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