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AI tool aims to cut prescription errors in busy ERs

NCT ID NCT07312019

Knowledge-focused Sponsor: Centre Hospitalier Universitaire, Amiens Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 2 times

Summary

This study tests an AI-powered device called Posos that helps doctors enter prescriptions for patients on many medications in the emergency department. Researchers will measure if the AI reduces the time needed to transcribe prescriptions and lowers the number of errors compared to standard methods. The trial involves 770 adults at multiple hospitals.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
Posos AI device (OCR+AI for prescription entry)
What this could lead to
If successful, this could show that AI helps doctors enter prescriptions faster and with fewer errors in busy emergency departments.
What could go wrong
This is an early-stage study focused on time savings, not on patient health outcomes. The AI may not work well in all hospital settings or with all types of prescriptions.

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.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 770 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

Jan 2026

An estimate. Start dates often move.

Expected to finish

Jan 2027

An estimate. End dates often move.

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.

Ages

18 years and older

Sex

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

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Age ≥18 years * Admission to emergency department at a participating center * Polymedicated patients with prescriptions including ≥8 medication lines (including those for long-term illnesses) * Signed informed consent Exclusion Criteria: * Patient under legal protection/judicial measures (guardianship/custody) * Lack of signed informed consent

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Conditions

The condition(s) this trial relates to.

Emergencies iatrogenic disease

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Artificial intelligence Clinical decision support Drug-related iatrogenesis Emergency department Medication Prescription Reconciliation Transcription

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • CHU Amiens

    Amiens, 80480, France

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