Идёт набор NCT05184660

Smart Eyewear to Automatically Detect Drug Delivery Events

— Наблюдательное Smart Eyewear

Ориентир для пациента и семьи

Простыми словами

Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.

Что изучают: Это наблюдательное исследование: исследуемое лечение участникам по протоколу не назначают.
Кому может быть актуально: Состояния в реестре: Smart Eyewear. Базовые параметры: от 18 лет · Все.
Что важно проверить: Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
Где проводится: США
Следующий шаг: Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →

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Официальное название

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

Обзор

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.

Подробное описание

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.

Первичные конечные точки

Operating room footage [Срок оценки: 8-10 hours]

Вторичные конечные точки (1)

Computer vision toolkit [Срок оценки: 8-10 hours]

Критерии участия

Критерии включения

Anesthesia providers (attending anesthesiologist or certified registered nurse anesthetist) who work in an operating room at University of Washington Montlake Medical Center