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AI assistant could slash pharmacy errors

NCT ID NCT06245044

Knowledge-focused Sponsor: University of Michigan 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
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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tested whether machine intelligence (MI) can help pharmacists catch medication dispensing errors. Sixty-eight licensed pharmacists completed mock verification tasks with and without MI advice. Researchers measured reaction time, accuracy, and trust in the AI to see if MI support improves safety.

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 a practical tool that helps pharmacists catch drug-selection errors before they reach patients, improving safety.
What could go wrong
This was a small, completed study with 68 pharmacists in a simulated setting. Real-world pharmacy conditions may differ, and the AI advice may not always be correct or trusted.

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

68 people

The number who actually took part.

Started

Apr 2024

Finished

Dec 2024

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: * Licensed pharmacist in the United States * Age 18 years and older at screening * PC/Laptop with Microsoft Windows 10 or Mac (Macbook, iMac) with MacOS with Google Chrome, Edge, Opera, Safari, or Firefox web browser installed on the device * Screen resolution of 1024x968 pixels or more * A laptop integrated webcam or USB webcam is also required for the eye tracking purpose. Exclusion Criteria: * Participated in Wave 1 or Wave 2 * Eyeglasses * Uncorrected cataracts, intraocular implants, glaucoma, or permanently dilated pupil * Require a screen reader/magnifier or other assistive technology to use the computer * Eye movement or alignment abnormalities (lazy eye, strabismus, nystagmus)

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As listed by the trial registrant

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

Machine intelligence in the pharmacy

Contacts and locations

Locations

  • University of Michigan

    Ann Arbor, Michigan, 48109, United States