New computer tool aims to catch dangerous drug mixes in seniors
NCT ID NCT04463576
First seen Jan 23, 2026 · Last updated Jun 22, 2026 · Updated 24 times
Summary
This study tested a computer system called PRoSIT that automatically checks hospital discharge prescriptions for dangerous drug interactions. Researchers looked at nearly 5,800 prescriptions for patients aged 65 and older from three French hospitals. The goal was to see how well the system could identify high-risk drug combinations, which could help prevent medication-related harm.
Disclaimer
Read more
Show less
This is a summary of
the original study
.
Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for DRUG INTERACTION are added.
Genom att skicka in godkänner du våra Användarvillkor
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
Genom att skicka in godkänner du våra Användarvillkor
Locations
-
Hopital Pellegrin
Bordeaux, 33000, France
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 system could help hospitals automatically flag dangerous drug combinations, potentially reducing medication errors in older patients.
What could go wrong
This is a completed observational study, not a treatment trial. The system's accuracy may vary across hospitals, and it does not directly test whether flagging interactions improves patient outcomes.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.