A Large Language Model in Outpatient Care
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: Large Language Model Based Tool, Workflow Support for Large Language Model Tool Integration.
- Кому может быть актуально
- Состояния в реестре: Outpatient Care. 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
- Список центров уточняется — проверьте первичный протокол.
- 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
A Prospective Randomized Controlled Trial of a Large Language Model in Outpatient Care
Обзор
The goal of this clinical trial is to learn how the use of a large language model (LLM) based tool affects outpatient clinical care in adult patients attending general hospital outpatient clinics. The main questions it aims to answer are: Does the use of an LLM-based tool affect the efficiency of outpatient visits? Does the use of an LLM-based tool affect the experience of doctors and patients during outpatient care? Researchers will compare outpatient visits supported by an LLM-based tool to standard outpatient visits without such a tool, to see whether and how the tool influences the care process and the experiences of doctors and patients. Participants will: Take part in outpatient visits that may or may not involve an LLM-based tool, depending on their assigned group Complete a short questionnaire about their visit experience after the consultation
Вмешательства
- Другое Large Language Model Based Tool
A large language model based tool is introduced into the outpatient consultation workflow to support the consultation and documentation process. - Другое Workflow Support for Large Language Model Tool Integration
Additional workflow support is provided to integrate the output of the large language model based tool into the consultation process, approximating a more integrated deployment of the tool.
Первичные конечные точки
- Duration of the Outpatient Consultation [Срок оценки: During the outpatient visit]
- Doctor-Reported Efficiency of the Consultation [Срок оценки: Immediately after the consultation]
- Doctor-Reported Satisfaction With the Consultation Process [Срок оценки: Immediately after the consultation]
Вторичные конечные точки (9)
- Doctor-Reported Efficiency of Obtaining Patient Information [Срок оценки: Immediately after the consultation]
- Doctor-Reported Cognitive Effort in Clinical Decision-Making [Срок оценки: Immediately after the consultation]
- Doctor-Reported Burden of Clinical Documentation [Срок оценки: Immediately after the consultation]
- Doctor's Intention to Continue Using the Tool [Срок оценки: Within 1 week after the participating doctor completes all enrolled consultations]
- Patient Trust in the Physician [Срок оценки: Immediately after the consultation]
- Patient Satisfaction With the Visit [Срок оценки: Immediately after the consultation]
- Patient-Perceived Physician Attentiveness [Срок оценки: Immediately after the consultation]
- Patient Satisfaction With the AI Pre-Consultation (Arm 2 and Arm 3 ) [Срок оценки: Immediately after the consultation]
- Patient's Intention to Use AI Pre-Consultation in the Future (Arm 2 and Arm 3) [Срок оценки: Immediately after the consultation]
Критерии участия
Критерии включения
Doctors:
- Licensed physicians providing outpatient consultations at a participating study hospital
- Expected to complete a sufficient number of outpatient clinic sessions during the study period
- Provides written informed consent
Patients:
- Age 18 years or older
- Attending an outpatient consultation with a participating doctor
- Able to interact with the tool using an internet-connected device such as a smartphone
- Provides written informed consent
Критерии исключения
Patients:
- Psychiatric conditions, unstable vital signs, or other medical situations considered unsuitable for AI-based interaction
- Declines to provide informed consent
Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.
Здоровые добровольцы: Нет
Дизайн исследования
- Распределение
- Рандомизированное
- Модель
- Перекрёстный дизайн
- Маскирование
- Простое слепое
- Основная цель
- Организация здравоохранения
Центры проведения
Список центров уточняется — проверьте первичный протокол.
Идентификаторы
NCT: NCT07641478 · THU-01-2026-0055