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

Corey Lester

Status: Completed

Conditions: Machine Intelligence in the Pharmacy

Treatments: Behavioral: No MI Help; Behavioral: Interpretable MI; Behavioral: Uninterpretable MI

Study type: Interventional

Funder types: Other; NIH

Identifiers

NCT06795477

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

HUM00213493

Details and patient eligibility

About

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.

Enrollment: 30 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

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)

Trial design

Primary purpose: Other

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

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30 participants in 2 patient groups

Interpretable MI

Experimental group

Description:

Participants receive interpretable machine intelligence to complete the medication verification task.

Treatment:

Behavioral: Interpretable MI

Behavioral: No MI Help

Uninterpretable MI

Experimental group

Description:

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

Treatment:

Behavioral: Uninterpretable MI

Behavioral: No MI Help