Use of Artificial Intelligence to Assess Trainee Communication Compared to Human Assessment

Официальное название

Artificial Intelligence Assessment of Trainee Communication Compared to Human Assessment: A Prospective Cohort Study

Обзор

This study will evaluate whether a web-based artificial intelligence platform (AI) (Clinical Mind AI \[CMAI\] Stanford, CA), can assess communication skills in anesthesiology trainees, including residents and fellows, in the setting of disclosing medical errors. All participants will participate in an AI-generated simulation by using the platform remotely, and CMAI will assess trainee performance immediately after the simulation.

Подробное описание

The goal of this study is to evaluate the accuracy of CMAI platform to assess participant performance following a voice-based AI simulation designed to help trainees practice disclosing medical errors. The platform will feature a custom clinical case, created using CMAI's patient creation tool, involving a discussion with the parent of a child who suffered a dental injury that occurred during intubation. The platform will provide an audio-based, simulated encounter with the parent enabling the participant to interact with, and then assess trainee communication performance, followed by the delivery of questionnaires to the trainee to determine usability and satisfaction. A human evaluator will also assess the trainees' performance using the same scales, and the investigators will compare the AI performance evaluation to the human evaluation. This study will allow the investigators to determine:

1. Reliability of the performance assessments of the CMAI platform compared to human raters 2. Usability for the CMAI audio voice model for simulated patient encounters 3. Satisfaction related to an innovative, educational technique

By evaluating these domains, we aim to determine the educational value of using simulated voice communication for training in emotionally complex, clinical scenarios.

Вмешательства

• Другое Communication Assessment through AI and Human
  Participants will remotely engage in an AI-generated simulation that presents an voice-based conversation with a simulated parent of a pediatric patient. The scenario involves discussing a clinical scenario concerning their child. Following the simulation, the participant's communication skills will be assessed using an artificial intelligence (AI) system trained to evaluate the key aspects of communication using standardized rating scales. In addition, two human evaluators will assess the parti

Первичные конечные точки

• Reliability of AI Conversational Performance Assessment [Срок оценки: Immediately after the simulation]

Вторичные конечные точки (2)

• Usability of CMAI Simulation Platform [Срок оценки: immediatley after the simulation]
• Satisfaction of CMAI Simulation [Срок оценки: immediately after the simulation]

Критерии участия

Критерии включения

• Participant's must be 18 years of age or older
• Graduate medical trainess such as residents and fellows at all levels of training excluding PGY1 trainees at Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University
• Able to speak and understand English
• Willing and able to provide consent to participate in research
• Able to participate in Artificial Intelligence communication simulation

Критерии исключения

• Non-English speaker
• unable to provide consent to participate in research
• individual with no access to the necessary technology (internet, computer/smart device) required for participating in the digital, voice-based interaction with the AI platform

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Да

Дизайн исследования

Распределение

Не применимо

Модель

Одна группа

Маскирование

Открытое

Основная цель

Поддерживающая терапия

Центры проведения

США · 1 центр

• Lucile Packard Children's Hospital Stanford — Palo Alto

Идентификаторы

NCT: NCT07107880 · 81684

Первоисточники (государственные реестры)

• ClinicalTrials.gov (NIH, США)

Открыть это исследование на ClinicalTrials.gov ↗