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Preventing Medication Dispensing Errors in Pharmacy Practice With Interpretable Machine Intelligence

NCT06245044 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 68

Last updated 2025-11-26

Study results available
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Summary

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 of the timing of machine intelligence (MI) advice on to determine if it results in lower task time, increased accuracy, and increased trust in the MI.

Conditions

  • Machine Intelligence in the Pharmacy

Interventions

BEHAVIORAL

No MI Help

Participants will complete the medication verification task without any MI help

BEHAVIORAL

Scenario #1

Participants will receive MI in the form of a pop-up message if their decision differs from the MI's determination.

BEHAVIORAL

Scenario #2

MI help will be displayed concurrently with the filled and reference images.

Sponsors & Collaborators

Principal Investigators

  • Corey A Lester, PharmD, PhD · University of Michigan

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
NONE
Model
CROSSOVER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-04-11
Primary Completion
2024-12-04
Completion
2024-12-04

Countries

  • United States

Study Locations

More Related Trials

Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06245044 on ClinicalTrials.gov