Preventing Medication Dispensing Errors in Pharmacy Practice with Interpretable Machine Intelligence: Wave 2
NCT ID: NCT06795477
Last Updated: 2025-01-28
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
30 participants
INTERVENTIONAL
2023-02-01
2023-05-12
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
OTHER
NONE
Study Groups
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Interpretable MI
Participants receive interpretable machine intelligence to complete the medication verification task.
No MI Help
Participants will complete the medication verification task without any MI help
Interpretable MI
Participants receive interpretable machine intelligence assistance to complete the medication verification tasks.
Uninterpretable MI
Participants receive uninterpretable (i.e., black-box) machine intelligence to complete the medication verification task.
No MI Help
Participants will complete the medication verification task without any MI help
Uninterpretable MI
Participants receive uninterpretable (i.e., black-box) machine intelligence assistance to complete the medication verification tasks.
Interventions
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No MI Help
Participants will complete the medication verification task without any MI help
Interpretable MI
Participants receive interpretable machine intelligence assistance to complete the medication verification tasks.
Uninterpretable MI
Participants receive uninterpretable (i.e., black-box) machine intelligence assistance to complete the medication verification tasks.
Eligibility Criteria
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Inclusion Criteria
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
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)
18 Years
ALL
No
Sponsors
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National Library of Medicine (NLM)
NIH
Corey Lester
OTHER
Responsible Party
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Corey Lester
Assistant Professor of Clinical Pharmacy
Locations
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University of Michigan
Ann Arbor, Michigan, United States
Countries
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References
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Tsai CC, Kim JY, Chen Q, Rowell B, Yang XJ, Kontar R, Whitaker M, Lester C. Effect of Artificial Intelligence Helpfulness and Uncertainty on Cognitive Interactions with Pharmacists: Randomized Controlled Trial. J Med Internet Res. 2025 Jan 31;27:e59946. doi: 10.2196/59946.
Other Identifiers
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HUM00213493
Identifier Type: -
Identifier Source: org_study_id
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