A Large Language Model in Outpatient Care
2026年6月7日 更新者：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
調査の概要
状態
まだ募集していません
条件
研究の種類
介入
入学 (推定)
3500
段階
- 適用できない
参加基準
研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。
適格基準
就学可能な年齢
- 大人
- 高齢者
健康ボランティアの受け入れ
いいえ
説明
Inclusion Criteria:
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
Exclusion Criteria:
Patients:
- Psychiatric conditions, unstable vital signs, or other medical situations considered unsuitable for AI-based interaction
- Declines to provide informed consent
研究計画
このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。
研究はどのように設計されていますか？
デザインの詳細
- 主な目的：ヘルスサービス研究
- 割り当て：ランダム化
- 介入モデル：クロスオーバー割り当て
- マスキング：独身
武器と介入
参加者グループ / アーム |
介入・治療 |
|---|---|
|
介入なし：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.
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実験的：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.
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実験的：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.
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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.
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この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Duration of the Outpatient Consultation
時間枠：During the outpatient visit
|
Time of the outpatient consultation, measured in milliseconds
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During the outpatient visit
|
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Doctor-Reported Efficiency of the Consultation
時間枠：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
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Doctor-Reported Satisfaction With the Consultation Process
時間枠：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
|
二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Doctor-Reported Efficiency of Obtaining Patient Information
時間枠：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
|
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Doctor-Reported Cognitive Effort in Clinical Decision-Making
時間枠：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
|
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Doctor-Reported Burden of Clinical Documentation
時間枠：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.
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Immediately after the consultation
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Doctor's Intention to Continue Using the Tool
時間枠：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.
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Within 1 week after the participating doctor completes all enrolled consultations
|
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Patient Trust in the Physician
時間枠：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
|
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Patient Satisfaction With the Visit
時間枠：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
|
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Patient-Perceived Physician Attentiveness
時間枠：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
|
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Patient Satisfaction With the AI Pre-Consultation (Arm 2 and Arm 3 )
時間枠：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.
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Immediately after the consultation
|
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Patient's Intention to Use AI Pre-Consultation in the Future (Arm 2 and Arm 3)
時間枠：Immediately after the consultation
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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.
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Immediately after the consultation
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協力者と研究者
ここでは、この調査に関係する人々や組織を見つけることができます。
スポンサー
研究記録日
これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。
主要日程の研究
研究開始 (推定)
2026年6月12日
一次修了 (推定)
2026年9月4日
研究の完了 (推定)
2026年9月4日
試験登録日
最初に提出
2026年5月29日
QC基準を満たした最初の提出物
2026年6月7日
最初の投稿 (実際)
2026年6月11日
学習記録の更新
投稿された最後の更新 (実際)
2026年6月11日
QC基準を満たした最後の更新が送信されました
2026年6月7日
最終確認日
2026年6月1日
詳しくは
本研究に関する用語
その他の研究ID番号
- THU-01-2026-0055
医薬品およびデバイス情報、研究文書
米国FDA規制医薬品の研究
いいえ
米国FDA規制機器製品の研究
いいえ
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