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Набор скоро начнётся NCT07553559

Evaluating an Artificial Intelligence-Based Diagnostic Support Tool for Older Adults in Primary Care

Без фазы С лечением Diagnostic Support

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
В протоколе указаны: Artificial intelligence-based clinical decision support tool for diagnostic support.
Кому может быть актуально
Состояния в реестре: Diagnostic Support. Базовые параметры: от 65 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
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Официальное название

Advancing Diagnostic Excellence For Older Adults Through Collective Intelligence And Imitation Learning

Обзор

Older adults commonly experience diagnostic errors that may lead to direct harms and increased healthcare costs. Older adults are especially at risk because of higher rates of comorbidity burden, medical complexity, frailty, and cognitive impairment. An artificial intelligence (AI) clinical decision support system (CDSS) offer a promising approach to promote diagnostic excellence for older adults. The purpose of this study is to assess the acceptability and feasibility of a new AI CDSS for older adults in primary care. The goal of this AI CDSS is to provide diagnostic support during primary care visits (i.e., help make timely and accurate diagnoses) and support communication amongst patients, doctors, and caregivers about the patient's health. In this study, participants will use the AI CDSS in a primary care visit and review its suggestions for diagnoses and tests. Afterwards, they will complete a feedback survey and interview where they share their thoughts about and experience using the AI CDSS.

Вмешательства

  • Другое Artificial intelligence-based clinical decision support tool for diagnostic support
    INTERLACE is an artificial intelligence-based clinical decision support tool. It uses a patient's medical history, vital signs, and current symptoms to make suggestions for diagnoses and tests. These suggestions can be considered and discussed amongst patients, caregivers, and clinicians during primary care visits to help find a good diagnosis for the patient's symptoms.

Первичные конечные точки

  • Feasibility of embedding the AI CDSS into a primary care visit [Срок оценки: From enrollment to the end of the study interview, up to two weeks]
  • Feasibility of embedding the AI CDSS into a primary care visit [Срок оценки: From enrollment until the end of the study interview, up to two weeks]
  • Acceptability of embedding the AI CDSS into a primary care visit [Срок оценки: From enrollment until the end of the study interview, up to two weeks]
  • Acceptability of embedding the AI CDSS into a primary care visit [Срок оценки: From enrollment until the end of the study interview, up to two weeks]
  • Acceptability of embedding the AI CDSS into a primary care visit [Срок оценки: From enrollment until the end of the study interview, up to two weeks]
  • Acceptability of embedding the AI CDSS into a primary care visit [Срок оценки: From enrollment until the end of the study interview, up to two weeks]

Критерии участия

Критерии включения

Clinicians

  • Work in the University of Pennsylvania Health System
  • Work in a primary care setting (i.e., Internal Medicine, Geriatric Medicine, Family Medicine, and Penn Primary Care)
  • Actively treat adult patients who are 65 years old or older

Patients

  • 65 years of age or older
  • Have an upcoming encounter with a participating primary care clinician
  • Indicate a new or worsening health concern that they wish to discuss at the upcoming encounter

Caregivers

  • 18 years old or older
  • Accompanying the participating patient during the encounter with the AI CDSS
  • Identified by the patient as a caregiver

Критерии исключения

An individual who meets any of the following criteria will be excluded from participation in this study:

  • Under the age of 18 years old
  • Unable to provide informed consent in the opinion of the investigator
  • Has a "Research Do Not Contact" status in the electronic health record

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

Здоровые добровольцы: Нет

Дизайн исследования

Распределение
Не применимо
Модель
Одна группа
Маскирование
Открытое
Основная цель
Диагностика

Центры проведения

США · 1 центр
  • University of Pennsylvania — Philadephia

Идентификаторы

NCT: NCT07553559 · 852952

Первоисточники (государственные реестры)

Открыть это исследование на ClinicalTrials.gov ↗