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A Large Language Model in Outpatient Care

7 juni 2026 uppdaterad av: 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

Studieöversikt

Studietyp

Interventionell

Inskrivning (Beräknad)

3500

Fas

  • Inte tillämpbar

Deltagandekriterier

Forskare letar efter personer som passar en viss beskrivning, så kallade behörighetskriterier. Några exempel på dessa kriterier är en persons allmänna hälsotillstånd eller tidigare behandlingar.

Urvalskriterier

Åldrar som är berättigade till studier

  • Vuxen
  • Äldre vuxen

Tar emot friska volontärer

Nej

Beskrivning

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

Studieplan

Det här avsnittet ger detaljer om studieplanen, inklusive hur studien är utformad och vad studien mäter.

Hur är studien utformad?

Designdetaljer

  • Primärt syfte: Hälsovårdsforskning
  • Tilldelning: Randomiserad
  • Interventionsmodell: Crossover tilldelning
  • Maskning: Enda

Vapen och interventioner

Deltagargrupp / Arm
Intervention / Behandling
Inget ingripande: 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.
Experimentell: 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.
Experimentell: 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.

Vad mäter studien?

Primära resultatmått

Resultatmått
Åtgärdsbeskrivning
Tidsram
Duration of the Outpatient Consultation
Tidsram: During the outpatient visit
Time of the outpatient consultation, measured in milliseconds
During the outpatient visit
Doctor-Reported Efficiency of the Consultation
Tidsram: 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
Tidsram: 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

Sekundära resultatmått

Resultatmått
Åtgärdsbeskrivning
Tidsram
Doctor-Reported Efficiency of Obtaining Patient Information
Tidsram: 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
Tidsram: 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
Tidsram: 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
Tidsram: 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
Tidsram: 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
Tidsram: 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
Tidsram: 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 )
Tidsram: 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)
Tidsram: 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

Samarbetspartners och utredare

Det är här du hittar personer och organisationer som är involverade i denna studie.

Studieavstämningsdatum

Dessa datum spårar framstegen för inlämningar av studieposter och sammanfattande resultat till ClinicalTrials.gov. Studieposter och rapporterade resultat granskas av National Library of Medicine (NLM) för att säkerställa att de uppfyller specifika kvalitetskontrollstandarder innan de publiceras på den offentliga webbplatsen.

Studera stora datum

Studiestart (Beräknad)

12 juni 2026

Primärt slutförande (Beräknad)

4 september 2026

Avslutad studie (Beräknad)

4 september 2026

Studieregistreringsdatum

Först inskickad

29 maj 2026

Först inskickad som uppfyllde QC-kriterierna

7 juni 2026

Första postat (Faktisk)

11 juni 2026

Uppdateringar av studier

Senaste uppdatering publicerad (Faktisk)

11 juni 2026

Senaste inskickade uppdateringen som uppfyllde QC-kriterierna

7 juni 2026

Senast verifierad

1 juni 2026

Mer information

Termer relaterade till denna studie

Andra studie-ID-nummer

  • THU-01-2026-0055

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