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

NCT06795477 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 30

Last updated 2025-01-28

No results posted yet for this study

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 machine intelligence (MI) advice on to determine if its impact on pharmacists' work performance and cognitive demand.

Conditions

  • Machine Intelligence in the Pharmacy

Interventions

BEHAVIORAL

No MI Help

Participants will complete the medication verification task without any MI help

BEHAVIORAL

Interpretable MI

Participants receive interpretable machine intelligence assistance to complete the medication verification tasks.

BEHAVIORAL

Uninterpretable MI

Participants receive uninterpretable (i.e., black-box) machine intelligence assistance to complete the medication verification tasks.

Sponsors & Collaborators

  • National Library of Medicine (NLM)

    collaborator NIH

  • Corey Lester

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-02-01
Primary Completion
2023-05-12
Completion
2023-05-12

Countries

  • United States

Study Locations

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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 NCT06795477 on ClinicalTrials.gov