Preventing Medication Dispensing Errors in Pharmacy Practice with Interpretable Machine Intelligence: Wave 2

January 21, 2025 updated by: Corey Lester
Pharmacists currently perform an independent double-check to identify drug-selection errors before they can reach the patient. However, the use of machine intelligence (MI) to support this cognitive decision-making work by pharmacists does not exist in practice. This research is being conducted to examine the effectiveness machine intelligence (MI) advice on to determine if its impact on pharmacists' work performance and cognitive demand.

Study Overview

Study Type

Interventional

Enrollment (Actual)

30

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Michigan
      • Ann Arbor, Michigan, United States, 48109
        • University of Michigan

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  1. Licensed pharmacist in the United States
  2. Age 18 years and older at screening
  3. PC/Laptop with Microsoft Windows 10 or Mac (Macbook, iMac) with MacOS with Google Chrome or Firefox web browser installed on the device
  4. Screen resolution of 1024x968 pixels or more
  5. A laptop integrated webcam or USB webcam is also required for the eye tracking purpose.

Exclusion Criteria:

  1. Eyeglasses with more than one power (bifocals, trifocals, progressives, layered lenses, or regression lenses)
  2. Cataracts, intraocular implants, glaucoma, or permanently dilated pupil
  3. Require a screen reader/magnifier or other assistive technology to use the computer
  4. Eye surgery (e.g., corneal)
  5. Eye movement or alignment abnormalities (lazy eye, strabismus, nystagmus)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Interpretable MI
Participants receive interpretable machine intelligence to complete the medication verification task.
Participants will complete the medication verification task without any MI help
Participants receive interpretable machine intelligence assistance to complete the medication verification tasks.
Experimental: Uninterpretable MI
Participants receive uninterpretable (i.e., black-box) machine intelligence to complete the medication verification task.
Participants will complete the medication verification task without any MI help
Participants receive uninterpretable (i.e., black-box) machine intelligence assistance to complete the medication verification tasks.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Decision accuracy
Time Frame: 1 day - Single study visit
Difference in detection rate measured by number of medication verification errors
1 day - Single study visit
Trust change
Time Frame: 1 day - Single study visit
Difference in trust as measured by visual analog scale will be calculated based on AI advice accuracy. Participants will indicate their level of trust in the AI advice after every trial on a scale from 1-100, with higher scores indicating greater levels of trust.
1 day - Single study visit
Cognitive effort
Time Frame: 1 day - Single study visit
Difference in cognitive effort measured by duration of fixation and fixation count
1 day - Single study visit

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Reaction time
Time Frame: 1 day - Single study visit
Difference in task time measured by the number of seconds from starting the task to accepting or rejecting a medication image
1 day - Single study visit

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 1, 2023

Primary Completion (Actual)

May 12, 2023

Study Completion (Actual)

May 12, 2023

Study Registration Dates

First Submitted

January 21, 2025

First Submitted That Met QC Criteria

January 21, 2025

First Posted (Actual)

March 25, 2025

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

January 21, 2025

Last Verified

January 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • HUM00213493
  • 5R01LM013624 (U.S. NIH Grant/Contract)

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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