Smart Eyewear to Automatically Detect Drug Delivery Events
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Smart Eyewear. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- United States
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
The Use of a Wearable Data Input Device (Google Glass, Microsoft HoloLens or GoPro Like Camera Mounted to Eyewear) to Collect Drug Delivery Event Data
Overview
This project is designed as a prospective observational study of medication preparation and delivery using a novel wearable data input device to automate detection of drug delivery events in the anesthesia workspace at University of Washington Medical Center.
Detailed description
Detailed Summary: The goal of this study is to devise a high-fidelity system that automatically collects data about anesthesia care, specifically drug preparation and delivery to the patient. We use a novel wearable data input device that collects computer processed images (video only, no audio) to determine details of the preparation and delivery of medications in the operating room. The wearable data input device is used by an anesthesia provider. The device collects computer processed images and in the anesthesia workspace, which will be used to develop machine learning algorithms that can automatically recognize drug administration events in order to automate medical record keeping in this environment.
Procedure: The principle investigator or a study coordinator will review the electronic operating room schedule to screen for potential data collection. The operating room team will be notified of the study the day prior to and day of data collection. The consented anesthesia provider will wear a point of view device to record drug preparation and drug delivery events in the operating room. Video recordings will be edited to remove Protected Health Information (PHI). Edited footage will then be annotated by volunteers on a computer vision learning tool website. The computer processed images will be then used to develop machine learning algorithms that can automatically recognize drug administration events.
Participants: The initial recruitment goal for the study is 10 nurse anesthetists recording 5 days each in the operating room. Nurse anesthetists are recruited as participants through word of mouth. If determined after data analysis that additional data needs to collected, additional anesthesia providers will be consented.
Primary outcome measures
- Operating room footage [Time frame: 8-10 hours]
Secondary outcome measures (1)
- Computer vision toolkit [Time frame: 8-10 hours]
Eligibility criteria
Inclusion criteria
- Anesthesia providers (attending anesthesiologist or certified registered nurse anesthetist) who work in an operating room at University of Washington Montlake Medical Center
Exclusion criteria
- Medical students and anesthesiology residents
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Observational model
- Other
Study locations
United States · 1 center
- University of Washington — Seattle
Identifiers
NCT: NCT05184660 · STUDY00010313