AI Ambient Scribe in Psychiatry (AASP)
2026년 8월 18일 업데이트: 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.
연구 개요
상태
상태
모집하지 않고 적극적으로
정황
정황
개입 / 치료
개입 / 치료
연구 유형
연구 유형
중재적
등록 (실제)
등록
47
단계
단계
- 해당 없음
연락처 및 위치
이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.
연구 장소
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Canton of St. Gallen
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Heerbrugg, Canton of St. Gallen, 스위스, 9435
- Psychiatrie St. Gallen
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Pfäfers Dorf, Canton of St. Gallen, 스위스, 7312
- Psychiatrie St. Gallen
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Rorschach, Canton of St. Gallen, 스위스, 9400
- Psychiatrie St. Gallen
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Sankt Gallen, Canton of St. Gallen, 스위스, 9000
- Psychiatrie St. Gallen
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Sargans, Canton of St. Gallen, 스위스, 7320
- Psychiatrie St. Gallen
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Uznach, Canton of St. Gallen, 스위스, 8730
- Psychiatrie St. Gallen
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Wattwil, Canton of St. Gallen, 스위스, 9630
- Psychiatrie St. Gallen
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Wil, Canton of St. Gallen, 스위스, 9500
- Psychiatrie St. Gallen
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참여기준
연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.
자격 기준
자격 기준
공부할 수 있는 나이
- 성인
- 고령자
건강한 자원 봉사자를 받아들입니다
예
설명
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
공부 계획
이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.
연구는 어떻게 설계됩니까?
디자인 세부사항
- 주 목적: 건강 서비스 연구
- 할당: 무작위화되지 않음
- 중재 모델: 병렬 할당
- 마스킹: 하나의
팔의 수
2
무기와 개입
참가자 그룹 / 팔참가자 그룹 / 팔 |
개입 / 치료개입 / 치료 |
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간섭 없음: 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.
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실험적: 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.
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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.
다른 이름들:
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연구는 무엇을 측정합니까?
주요 결과 측정
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
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Time spent on psychiatric documentation
기간: 24 Weeks
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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.
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24 Weeks
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Documentation quality of initial psychiatric asessment reports
기간: 24 Weeks
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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.
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24 Weeks
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Working Alliance
기간: 5 weeks pre intervention and 5 weeks during the intervention.
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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.
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5 weeks pre intervention and 5 weeks during the intervention.
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2차 결과 측정
2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Time passed from initial psychiatric assessment note creation to its completion
기간: 24 Weeks
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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.
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24 Weeks
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Guideline-relevant information coverage and density in initial psychiatric assessment reports
기간: 24 Weeks
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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.
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24 Weeks
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Patient-perceived empathy of mental health care providers during consultations
기간: 5 weeks pre intervention and 5 weeks during the intervention.
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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.
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5 weeks pre intervention and 5 weeks during the intervention.
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Documentation quality of ambient scribe-generated initial psychiatric assessment reports (raw AI output)
기간: 15 Weeks
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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.
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15 Weeks
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Clinician Burnout
기간: 5 weeks in the pre-intervention period and the last Week (Week 15) of the post-intervention period.
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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.
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5 weeks in the pre-intervention period and the last Week (Week 15) of the post-intervention period.
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공동 작업자 및 조사자
여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.
협력자
협력자
수사관
수사관
- 수석 연구원: Maja Dobelsek, MD, Universität St. Gallen
연구 기록 날짜
이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.
연구 주요 날짜
연구 시작 (실제)
연구 시작
2026년 7월 13일
기본 완료 (추정된)
기본 완료
2026년 12월 31일
연구 완료 (추정된)
연구 완료
2026년 12월 31일
연구 등록 날짜
최초 제출
최초 제출
2026년 8월 6일
QC 기준을 충족하는 최초 제출
QC 기준을 충족하는 최초 제출
2026년 8월 18일
처음 게시됨 (실제)
처음 게시됨
2026년 8월 20일
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
마지막 업데이트 게시됨
2026년 8월 20일
QC 기준을 충족하는 마지막 업데이트 제출
QC 기준을 충족하는 마지막 업데이트 제출
2026년 8월 18일
마지막으로 확인됨
마지막으로 확인됨
2026년 8월 1일
추가 정보
이 연구와 관련된 용어
키워드
기타 연구 ID 번호
기타 연구 ID 번호
- S012026
개별 참가자 데이터(IPD) 계획
개별 참가자 데이터(IPD)를 공유할 계획입니까?
아니요
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아니
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아니
이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .