Smart Eyewear
Conditions
Keywords
automatic detection, smart eyewear, drug delivery, drug administration, patient safety, anesthetic drug, anesthesia
Brief summary
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.
Interventions
None listed
Sponsors
University of Washington
Study design
Observational model
OTHER
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Operating room footage | 8-10 hours | Operating room footage of drug preparation and drug delivery events recorded by anesthesia provider using a point-of-view device. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Computer vision toolkit | 8-10 hours | A computer vision toolkit which can identify syringes and medications in the hand of a provider in near real time. |
Countries
United States
Contacts
Primary ContactKelly Michaelsen, MD, PhD
Backup ContactSharon T Nguyen, BS
Outcome results
None listed