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Background <p>Clinical documentation causes considerable administrative burden in outpatient psychotherapy and contributes to the workload of practitioners. AI-based documentation software (so-called “Ambient AI Scribes”) is increasingly being established in healthcare professions, including psychotherapy. This promises relief but raises questions about documentation quality, data security, and accountability.</p> Objectives <p>The attitudes, usage experiences, and perceived effects of AI-assisted documentation software are examined from the perspective of psychotherapists.</p> Methods and Materials <p>Qualitative semi-structured interviews were conducted with eleven outpatient psychotherapists (age 33–65 years; 54.5% female) with practical usage experience and analyzed via qualitative content analysis. Additionally, sociodemographic and usage-related characteristics were collected. Data saturation was reached after 11 participants.</p> Results <p>Participants report high satisfaction, significant time savings, and a noticeable reduction in emotional and cognitive burden with increased presence in psychotherapy sessions. At the same time, quality deficits, selective patient acceptance, technical hurdles, as well as needs for system integration, inclusion of diagnostics, and customizable templates are mentioned.</p> Conclusion <p>AI-assisted documentation is perceived as a useful assistance with potential to reduce administrative burden. Safe implementation requires mandatory professional review, error classifications, as well as robust data protection regulations and sustainable system integration. Follow-up studies should examine effects on burnout, therapeutic relationship, and quality of care, and establish a standardized evaluation framework.</p>

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KI-Dokumentation in der Psychotherapie

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月2日

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  • Vera Goer,
  • Julian Schwarz

摘要

Background

Clinical documentation causes considerable administrative burden in outpatient psychotherapy and contributes to the workload of practitioners. AI-based documentation software (so-called “Ambient AI Scribes”) is increasingly being established in healthcare professions, including psychotherapy. This promises relief but raises questions about documentation quality, data security, and accountability.

Objectives

The attitudes, usage experiences, and perceived effects of AI-assisted documentation software are examined from the perspective of psychotherapists.

Methods and Materials

Qualitative semi-structured interviews were conducted with eleven outpatient psychotherapists (age 33–65 years; 54.5% female) with practical usage experience and analyzed via qualitative content analysis. Additionally, sociodemographic and usage-related characteristics were collected. Data saturation was reached after 11 participants.

Results

Participants report high satisfaction, significant time savings, and a noticeable reduction in emotional and cognitive burden with increased presence in psychotherapy sessions. At the same time, quality deficits, selective patient acceptance, technical hurdles, as well as needs for system integration, inclusion of diagnostics, and customizable templates are mentioned.

Conclusion

AI-assisted documentation is perceived as a useful assistance with potential to reduce administrative burden. Safe implementation requires mandatory professional review, error classifications, as well as robust data protection regulations and sustainable system integration. Follow-up studies should examine effects on burnout, therapeutic relationship, and quality of care, and establish a standardized evaluation framework.