Usability of a Perioperative Medication-Related Clinical Decision Support Application: A Randomized Controlled Trial
Trial Snapshot
- Phase
- Not Applicable
- Status
- Completed
- Enrollment
- 40
- Locations
- 1
- Primary Endpoint
- Total time to complete 7 simulations tasks.
Study Overview
Brief Summary
The goal of this study is to compare the usability of a novel, medication-related clinical decision support (CDS) application to the current standard medication administration and documentation workflow. The study will occur in a simulation setting, using a manikin and test patient data - no actual patients will participate. Forty clinician participants will be randomly assigned to either the CDS group (who will complete simulation tasks using the CDS prototype) or the Control group (who will complete simulation tasks using the standard medication administration workflow).
Study Design
- Study Type
- Interventional
- Allocation
- Randomized
- Intervention Model
- Parallel
- Primary Purpose
- Other
- Masking
- None
Eligibility Criteria
- Ages
- 18 Years to 90 Years (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- Yes
Inclusion Criteria
- •Anesthesia Clinicians including attending anesthesiologists, Certified Registered Nurse Anesthetists (CRNAs), and house staff (residents and fellows)
Exclusion Criteria
- •Study Staff
- •Medical Students
Arms & Interventions
CDS Group
Clinicians complete tasks using the CDS prototype. Briefly, the clinician scans the barcode on the syringe label immediately prior to medication administration. The scan triggers the CDS to display a dosing window with pertinent patient-specific information and/or alert(s) when necessary to prevent a medication error (ME) prior to the medication being administered. Medication data are then sent from the CDS application to the patient's anesthesia record for automatic documentation in real-time, eliminating the need to manually document the medication in the Anesthesia Information Management System (AIMS). When necessary, the CDS application generates alerts to prevent medication errors. Upon receiving an alert, the anesthesia clinician may accept the alert and revise the action that generated the alert, or override the alert and continue with the planned action.
Intervention: Electronic Clinical Decision Support Application (Other)
Control Group
Clinicians complete tasks using the conventional medication administration and documentation workflow in anesthesia.
Outcomes
Primary Outcomes
Total time to complete 7 simulations tasks.
Time Frame: Measured from task start time to task end time, a cumulative average of 15 minutes
Total time (in seconds) to complete 7 simulations tasks.
Secondary Outcomes
- Total distance traveled on the screen in pixels for 7 simulation tasks.(Measured from task start time to task end time, a cumulative average of 15 minutes)
- Total number of mouse clicks in 7 simulations tasks.(Measured from task start time to task end time, a cumulative average of 15 minutes)
Investigators
Karen C. Nanji,M.D.,M.P.H.
Principal Investigator
Massachusetts General Hospital