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AI Ambient Scribe in Psychiatry (AASP)

2026年8月18日 更新者:Maja Dobelsek, MD、Psychiatrie St. Gallen

Evaluating the Use of an Artificial Intelligence Ambient Scribe in a Swiss Psychiatric Clinic: Efficiency, Documentation Quality, and Therapeutic Alliance

The goal of this clinical trial is to learn if an artificial intelligence (AI) tool that listens to appointments and drafts clinical notes can help clinicians in psychiatric care. Researchers also want to know if the tool changes how patients experience their care. The study includes mental health care providers (physicians, psychologists/psychotherapists, nurses, and social workers) at Psychiatrie St. Gallen and the adult patients they see in their appointments.

The main questions it aims to answer are:

  • Does the AI tool lower the time clinicians spend writing notes?
  • Are notes written with the AI tool as good as or better than notes written without it?
  • Do patients notice a difference in their relationship with their clinician when the tool is used?

Researchers will compare clinicians who use the AI tool to clinicians who keep writing notes their usual way, before and during the intervention period, to see if writing time, note quality, and the patient-rated therapeutic relationship differ between the two groups.

Clinicians will:

Join one of two groups. One group starts using the AI tool on August 14, 2026. The other group keeps writing notes the usual way. Both groups will be observed until the end of November 2026, with note quality evaluation completed in December 2026. Clinicians who cannot contribute to all measurements may, with their consent, remain in the study for automated measurement of documentation time only.

Patients will:

  • Be invited to fill out a short, anonymous survey about their experience with their clinician.
  • Be asked to agree, in writing, that researchers may review the report from their initial assessment appointment.

調査の概要

研究の種類

介入

入学 (実際)

47

段階

  • 適用できない

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究場所

    • Canton of St. Gallen
      • Heerbrugg、Canton of St. Gallen、スイス、9435
        • Psychiatrie St. Gallen
      • Pfäfers Dorf、Canton of St. Gallen、スイス、7312
        • Psychiatrie St. Gallen
      • Rorschach、Canton of St. Gallen、スイス、9400
        • Psychiatrie St. Gallen
      • Sankt Gallen、Canton of St. Gallen、スイス、9000
        • Psychiatrie St. Gallen
      • Sargans、Canton of St. Gallen、スイス、7320
        • Psychiatrie St. Gallen
      • Uznach、Canton of St. Gallen、スイス、8730
        • Psychiatrie St. Gallen
      • Wattwil、Canton of St. Gallen、スイス、9630
        • Psychiatrie St. Gallen
      • Wil、Canton of St. Gallen、スイス、9500
        • Psychiatrie St. Gallen

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

はい

説明

The observed study population comprises mental health care providers (physicians, psychologists/psychotherapists, nurses, and social workers) employed at Psychiatrie St. Gallen.

Provider Inclusion Criteria:

  • Readiness to use an artificial intelligence ambient scribe during patient consultations (intervention group)
  • Regular clinical consultations with adult psychiatric patients

Two outcome-specific criteria apply: contribution to the report quality outcomes requires that the provider regularly conducts new-patient intakes and writes initial psychiatric assessment reports; contribution to the patient-reported outcomes requires working in the outpatient setting. Providers who cannot or no longer wish to contribute to any actively collected outcome may, with their consent, remain enrolled for passive documentation-time measurement only; for analysis, such providers stay in the group which was fixed at enrollment..

Provider Exclusion Criteria:

  • notice of termination of the employment contract given during the data collection period
  • Working in the dementia inpatient clinic

Patients are not the observed population, but anonymous ratings of their subjective consultation experience are collected from them, and written consent for the review of initial assessment reports is obtained.

Patient Inclusion Criteria:

- All adult patients visiting the outpatient clinic during the data collection periods for a consultation with a participating provider

Patient Exclusion Criteria:

  • Insufficient German proficiency (below level B2)
  • Cognitive impairment precluding informed participation
  • Acute psychosis, acute suicidality, mania, or intoxication
  • Severe emotional distress

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:非ランダム化
  • 介入モデル:並列代入
  • 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:Control Group
The mental health care providers (physicians, psychologists/psychotherapists, nurses, and social workers) in this group document their consultations as usual (typing or conventional dictation), without access to the ambient scribe. Under institutional policy, all clinicians irrespective of study participation may use general-purpose AI tools for administrative and documentation support, provided no patient-identifying data are entered; the control condition is therefore defined as documentation without the ambient scribe, not as documentation without any AI assistance.
実験的:AI-Group
The mental health care providers in this group use an AI ambient scribe to create their clinical notes from consultations, beginning August 14, 2026.
Listener Tool of the SwissGPT application (AlpineAI AG). After the patient's verbal consent, the provider records the consultation audio via mobile phone or laptop. All audio and text data are processed exclusively on AlpineAI's own GPU infrastructure located in Switzerland and are encrypted with individual keys per customer and per data type. Transcription uses the speech-to-text models Whisper 3 Turbo; from the transcript, a draft clinical note is generated by open-weight large language model Mistral Large 3 based on a standardized prompt developed for the institution. The provider transfers the generated draft note unedited into the electronic health record (ORBIS) and performs all review and editing directly in the EHR, so that the effort of correcting AI-generated drafts is captured by the automated documentation-time measurement. Audio recordings and transcripts are automatically deleted after 30 days.
他の名前:
  • 人工知能

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
Time spent on psychiatric documentation
時間枠:24 Weeks
Mean minutes spent writing clinical notes (progress notes, initial psychiatric assessment reports, and discharge letters), extracted automatically from EHR (ORBIS) audit logs as form-level editing durations, compared pre-intervention vs. during intervention between groups.
24 Weeks
Documentation quality of initial psychiatric asessment reports
時間枠:24 Weeks
Quality of initial psychiatric assessment reports rated with the Physician Documentation Quality Instrument, 9-item version (PDQI-9). Each of the 9 items is scored on a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree) and summed to a total score ranging from 9 (minimum) to 45 (maximum); higher scores indicate better documentation quality. Each report is independently rated by 2 of 8 experienced mental health specialists in a balanced rotating-pair design, blinded to provider identity, group, time point, and site.
24 Weeks
Working Alliance
時間枠:5 weeks pre intervention and 5 weeks during the intervention.
Patient-rated working alliance measured with the Working Alliance Inventory-Short Revised, German patient version (WAI-SR). The 12 items are each scored on a 5-point scale (1 to 5) and summed to a total score ranging from 12 (minimum) to 60 (maximum); higher scores indicate a stronger (better) working alliance. Reported anonymously by patients after outpatient consultations. In addition to the two-sided superiority test, non-inferiority is prespecified: a lower bound of the two-sided 95% CI of the difference-in-differences estimate above -3.5 WAI-SR sum-scale points will be interpreted as evidence against a clinically relevant deterioration of the alliance.
5 weeks pre intervention and 5 weeks during the intervention.

二次結果の測定

結果測定
メジャーの説明
時間枠
Time passed from initial psychiatric assessment note creation to its completion
時間枠:24 Weeks
Calendar time from the administrative creation of the initial psychiatric assessment note in the EHR to its completion, capturing documentation backlog. This outcome is separate from total active time spent writing the note.
24 Weeks
Guideline-relevant information coverage and density in initial psychiatric assessment reports
時間枠:24 Weeks
Coverage and density of guideline-relevant psychiatric assessment content, scored by a large language model (SwissGPT) against a 71-item checklist derived from the American Psychiatric Association practice guidelines for the psychiatric evaluation of adults. Each item is scored as covered (1), partially covered (0.5), or not covered (0); report length in characters is used to compute information density.
24 Weeks
Patient-perceived empathy of mental health care providers during consultations
時間枠:5 weeks pre intervention and 5 weeks during the intervention.
Patient-perceived empathy measured with the Consultation and Relational Empathy (CARE) measure. The 10 items are each scored on a 5-point scale (1 = poor to 5 = excellent) and summed to a total score ranging from 10 (minimum) to 50 (maximum); higher scores indicate greater perceived empathy (better). Completed anonymously by patients alongside the WAI-SR. A study-specific German translation is used; its psychometric properties will be examined and reported.
5 weeks pre intervention and 5 weeks during the intervention.
Documentation quality of ambient scribe-generated initial psychiatric assessment reports (raw AI output)
時間枠:15 Weeks
AI-generated initial psychiatric assessment reports, exactly as produced by the ambient scribe and before any human correction, rated by the generating providers (intervention group only) with the Provider Documentation Summarization Quality Instrument (PDSQI-9), an LLM-adapted 9-attribute instrument screening for hallucinations, omissions, redundancy, and biased language. Each attribute is scored on a 5-point scale (1 to 5) and summed to a total score ranging from 9 (minimum) to 45 (maximum); higher scores indicate better quality of the AI-generated summary.
15 Weeks
Clinician Burnout
時間枠:5 weeks in the pre-intervention period and the last Week (Week 15) of the post-intervention period.
Work-related burnout of participating providers in both groups, measured with the German version of the Burnout Assessment Tool (BAT). The 23 core-symptom items (subscales: exhaustion, mental distance, cognitive impairment, emotional impairment) are each scored on a 5-point frequency scale (1 = never to 5 = always) and averaged to a core score ranging from 1.00 (minimum) to 5.00 (maximum); higher scores indicate more burnout symptoms (worse outcome). The 10 secondary-symptom items are scored and averaged on the same 1.00-5.00 metric, with higher scores likewise indicating a worse outcome.
5 weeks in the pre-intervention period and the last Week (Week 15) of the post-intervention period.

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

捜査官

  • 主任研究者:Maja Dobelsek, MD、Universität St. Gallen

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 (実際)

2026年7月13日

一次修了 (推定)

2026年12月31日

研究の完了 (推定)

2026年12月31日

試験登録日

最初に提出

2026年8月6日

QC基準を満たした最初の提出物

2026年8月18日

最初の投稿 (実際)

2026年8月20日

学習記録の更新

投稿された最後の更新 (実際)

2026年8月20日

QC基準を満たした最後の更新が送信されました

2026年8月18日

最終確認日

2026年8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

  • S012026

個々の参加者データ (IPD) の計画

個々の参加者データ (IPD) を共有する予定はありますか?

いいえ

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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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