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A Large Language Model in Outpatient Care

7 de junho de 2026 atualizado por: Tien Yin Wong, Tsinghua University

A Prospective Randomized Controlled Trial of a Large Language Model in Outpatient Care

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

Visão geral do estudo

Tipo de estudo

Intervencional

Inscrição (Estimado)

3500

Estágio

  • Não aplicável

Critérios de participação

Os pesquisadores procuram pessoas que se encaixem em uma determinada descrição, chamada de critérios de elegibilidade. Alguns exemplos desses critérios são a condição geral de saúde de uma pessoa ou tratamentos anteriores.

Critérios de elegibilidade

Idades elegíveis para estudo

  • Adulto
  • Adulto mais velho

Aceita Voluntários Saudáveis

Não

Descrição

Inclusion Criteria:

Doctors:

  1. Licensed physicians providing outpatient consultations at a participating study hospital
  2. Expected to complete a sufficient number of outpatient clinic sessions during the study period
  3. Provides written informed consent

Patients:

  1. Age 18 years or older
  2. Attending an outpatient consultation with a participating doctor
  3. Able to interact with the tool using an internet-connected device such as a smartphone
  4. Provides written informed consent

Exclusion Criteria:

Patients:

  1. Psychiatric conditions, unstable vital signs, or other medical situations considered unsuitable for AI-based interaction
  2. Declines to provide informed consent

Plano de estudo

Esta seção fornece detalhes do plano de estudo, incluindo como o estudo é projetado e o que o estudo está medindo.

Como o estudo é projetado?

Detalhes do projeto

  • Finalidade Principal: Pesquisa de serviços de saúde
  • Alocação: Randomizado
  • Modelo Intervencional: Atribuição cruzada
  • Mascaramento: Solteiro

Armas e Intervenções

Grupo de Participantes / Braço
Intervenção / Tratamento
Sem intervenção: Standard Outpatient Care (No AI)
Neither doctors nor patients use a large language model based tool. Outpatient consultations and documentation are conducted following routine clinical practice.
Experimental: Outpatient Care With a Large Language Model Tool
Before the consultation, patients complete an AI-based pre-consultation interaction. During the visit, a large language model based tool is available to support the outpatient consultation process. Doctors may refer to the tool during the visit.
A large language model based tool is introduced into the outpatient consultation workflow to support the consultation and documentation process.
Experimental: Outpatient Care With a Large Language Model Tool and Workflow Support
Before the consultation, patients complete an AI-based pre-consultation interaction. During the visit, a large language model based tool is used together with additional workflow support to integrate the tool's output into the outpatient consultation process.
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.

O que o estudo está medindo?

Medidas de resultados primários

Medida de resultado
Descrição da medida
Prazo
Duration of the Outpatient Consultation
Prazo: During the outpatient visit
Time of the outpatient consultation, measured in milliseconds
During the outpatient visit
Doctor-Reported Efficiency of the Consultation
Prazo: Immediately after the consultation
Doctor's self-rated efficiency of the consultation, measured on a 5-point Likert scale (1 = very low to 5 = very high), with higher scores indicating higher perceived efficiency.
Immediately after the consultation
Doctor-Reported Satisfaction With the Consultation Process
Prazo: Immediately after the consultation
Doctor's satisfaction with the consultation process, measured on a 5-point Likert scale (1 = very low to 5 = very high), with higher scores indicating higher satisfaction.
Immediately after the consultation

Medidas de resultados secundários

Medida de resultado
Descrição da medida
Prazo
Doctor-Reported Efficiency of Obtaining Patient Information
Prazo: Immediately after the consultation
Doctor's self-rated efficiency in obtaining the patient's clinical information (such as symptoms, history, prior examinations) during the consultation, measured on a 5-point Likert scale (1 = very low to 5 = very high); higher scores indicate higher efficiency.
Immediately after the consultation
Doctor-Reported Cognitive Effort in Clinical Decision-Making
Prazo: Immediately after the consultation
Doctor's self-rated cognitive effort invested in clinical decision-making during the consultation, measured on a 5-point Likert scale (1 = very low to 5 = very high); higher scores indicate greater effort.
Immediately after the consultation
Doctor-Reported Burden of Clinical Documentation
Prazo: Immediately after the consultation
Doctor's self-rated burden of completing the outpatient medical record for the consultation, measured on a 5-point Likert scale (1 = very low to 5 = very high); higher scores indicate greater burden.
Immediately after the consultation
Doctor's Intention to Continue Using the Tool
Prazo: Within 1 week after the participating doctor completes all enrolled consultations
Doctor's intention to continue using the large language model based tool in routine practice, measured on a 5-point Likert scale (1 = strongly unwilling to 5 = strongly willing); higher scores indicate stronger intention.
Within 1 week after the participating doctor completes all enrolled consultations
Patient Trust in the Physician
Prazo: Immediately after the consultation
Patient's level of trust in the physician after the visit, measured on a 5-point Likert scale (1 = very low to 5 = very high); higher scores indicate greater trust.
Immediately after the consultation
Patient Satisfaction With the Visit
Prazo: Immediately after the consultation
Patient's satisfaction with the visit, measured on a 5-point Likert scale (1 = very low to 5 = very high); higher scores indicate greater satisfaction.
Immediately after the consultation
Patient-Perceived Physician Attentiveness
Prazo: Immediately after the consultation
Patient-perceived attentiveness of the physician during the visit, assessed by a multi-item measure and reported as a composite score on a 1-5 scale; higher scores indicate greater perceived attentiveness.
Immediately after the consultation
Patient Satisfaction With the AI Pre-Consultation (Arm 2 and Arm 3 )
Prazo: Immediately after the consultation
Patient's satisfaction with the AI-based pre-consultation interaction, measured on a 5-point Likert scale (1 = very low to 5 = very high); higher scores indicate greater satisfaction. Assessed only in Arm 2 and Arm 3.
Immediately after the consultation
Patient's Intention to Use AI Pre-Consultation in the Future (Arm 2 and Arm 3)
Prazo: Immediately after the consultation
Patient's intention to use AI-based pre-consultation again in the future, measured on a 5-point Likert scale (1 = strongly unwilling to 5 = strongly willing); higher scores indicate stronger intention. Assessed only in Arm 2 and Arm 3.
Immediately after the consultation

Colaboradores e Investigadores

É aqui que você encontrará pessoas e organizações envolvidas com este estudo.

Patrocinador

Datas de registro do estudo

Essas datas acompanham o progresso do registro do estudo e os envios de resumo dos resultados para ClinicalTrials.gov. Os registros do estudo e os resultados relatados são revisados ​​pela National Library of Medicine (NLM) para garantir que atendam aos padrões específicos de controle de qualidade antes de serem publicados no site público.

Datas Principais do Estudo

Início do estudo (Estimado)

12 de junho de 2026

Conclusão Primária (Estimado)

4 de setembro de 2026

Conclusão do estudo (Estimado)

4 de setembro de 2026

Datas de inscrição no estudo

Enviado pela primeira vez

29 de maio de 2026

Enviado pela primeira vez que atendeu aos critérios de CQ

7 de junho de 2026

Primeira postagem (Real)

11 de junho de 2026

Atualizações de registro de estudo

Última Atualização Postada (Real)

11 de junho de 2026

Última atualização enviada que atendeu aos critérios de controle de qualidade

7 de junho de 2026

Última verificação

1 de junho de 2026

Mais Informações

Termos relacionados a este estudo

Outros números de identificação do estudo

  • THU-01-2026-0055

Informações sobre medicamentos e dispositivos, documentos de estudo

Estuda um medicamento regulamentado pela FDA dos EUA

Não

Estuda um produto de dispositivo regulamentado pela FDA dos EUA

Não

Essas informações foram obtidas diretamente do site clinicaltrials.gov sem nenhuma alteração. Se você tiver alguma solicitação para alterar, remover ou atualizar os detalhes do seu estudo, entre em contato com register@clinicaltrials.gov. Assim que uma alteração for implementada em clinicaltrials.gov, ela também será atualizada automaticamente em nosso site .

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