Reducing the administrative burden in psychiatry and psychotherapy: a guide for healthcare leaders
Updated: 23 hours ago
Administrative relief is not a side project
Demand for psychiatric and psychotherapeutic care in Switzerland is high and continues to grow. In 2022, 18 percent of the population reported moderate to high psychological distress, an increase of 3 percentage points compared with 2017. This trend is also reflected in growing demand for psychotherapeutic support [1] [2] . Current data also confirm increasing use of these services and continued high pressure on care systems [3].
Because clinical capacity is not growing at the same pace in many places, the executive management of psychiatric and psychotherapeutic care providers faces a central challenge:
How can more effective care be delivered without further increasing the burden on clinicians? The answer lies not only in expanding staff resources, but above all in using clinical time more efficiently.
The bottleneck lies in administrative work
The bottleneck is often described as a shortage of skilled professionals. That explanation falls short. By international comparison, Switzerland has a high density of psychiatrists [4]. Nevertheless, direct clinical time remains scarce, not because there are too few professionals, but because documentation, coordination and follow-up work take up too much working time.
The FMH survey from November 2024 shows this clearly: psychiatrists spend an average of 100 minutes per day on documentation. 62 percent say they frequently or mostly experience stress [5]. This problem is particularly pronounced in psychiatry: clinical work is based on conversation and assessment. Symptoms, risk, therapy goals and treatment decisions must be documented in a traceable way so that teams, referring physicians and insurers can work with them [6].
Why administrative relief is a strategic issue
Where clinical time is scarce, every minute regained matters for access capacity, team stability and economic performance. Administrative relief is therefore not a side project of digitalization, but a lever for operational performance.
AI delivers its greatest benefit where it supports the structured capture and processing of information and thereby provides noticeable relief. The goal is not full automation, but controlled relief: AI takes over capture, structuring and preparatory work. The professional reviews and completes the result and remains responsible for it.
Evidence on AI-powered productivity solutions
The evidence on AI-powered documentation solutions has become significantly broader over the past 18 months, including initial results for psychiatric care.
A study in JAMA Network Open involving 1,430 physicians showed that ambient documentation technology was associated with less burnout and better well-being [7]. A qualitative study in JAMA confirmed positive effects but also showed limitations: editing effort, stylistic adjustment and fitting into existing workflows remain relevant [9].
Particularly relevant: a study published in 2026 in JMIR Formative Research showed high acceptance among mental health professionals, with 97.7 percent positive quality ratings among employed staff and 98.4 percent among external providers [8].
At the same time, the literature emphasizes the limitations: professional review remains necessary, and data protection, bias risks and transparent review processes must be actively managed [6] [10].
Economic benefit: a concrete example from Switzerland
A concrete example from Swiss practice illustrates how AI-powered productivity solutions can deliver measurable time savings and economic benefits.
The economic benefit lies not in full automation, but in time actually regained. When 100 minutes per day are already tied up in documentation, partial but reliably achieved relief is enough to regain a noticeable amount of time. Studies also suggest that a lower administrative burden can improve the quality of interaction and reduce perceived workload [11].
From the management’s perspective, this time should not go into denser scheduling, but first toward three goals: faster completion of outstanding documentation, less work outside regular hours and more predictable treatment capacity.
What a good implementation looks like
Whether an AI solution has an impact depends on the quality of its implementation. The project should therefore not be set up as an IT pilot, but as an implementation program with clear leadership, governance and impact measurement.
During the first 90 days, key figures should be monitored regularly:
• Share of documentation completed on the same day
• Average editing time per case
• Documentation effort outside regular working hours
• Usage rate within the team
• Correction effort per note
• Perceived relief for clinicians
Equally important: clear review responsibility, defined use cases, transparent patient information, a reliable data protection architecture, integration into existing systems and a rollout that differentiates between professional groups. Psychiatrists, psychological psychotherapists and interprofessional teams do not document in the same way. Treating everyone the same increases resistance. Implementing along real work processes increases acceptance.
A pragmatic management decision
Demand remains high, and in many places recruitment alone will not relieve the pressure. For executive management, the key question is therefore how scarce clinical time can be better protected and used.
Administrative relief is not a side project, but a lever for capacity, team stability and operational performance. AI is relevant when it measurably reduces the administrative workload, not when it is meant to replace clinical responsibility.
In this context, a solution like Isaac is relevant if it makes a measurable contribution. The data so far, from a published study at the University Hospital Zurich [11], from ongoing use by more than 110 professionals at WePractice and from the international literature, provide initial robust evidence of this.
We would be happy to discuss with you how these effects can be achieved in your organization. Book a demo here.
Footnotes / references
[1] Bundesamt für Statistik (BFS). Schweizerische Gesundheitsbefragung 2022.
[2] Bundesamt für Gesundheit (BAG). Neuregelung der psychologischen Psychotherapie ab 1. Juli 2022.
[3] Bill M, Fischer B. Monitoring zur Neuregelung der psychologischen Psychotherapie. BAG; 2024.
[4] Jäggi J, Künzi K, et al. Vergleich der Tätigkeiten von Psychiaterinnen und Psychiatern. BAG; 2017.
[5] Golder L, Jans C, Schäfer S. Ärzteberuf droht an Attraktivität zu verlieren. gfs.bern / FMH; 2024.
[6] Buckley P. Artificial Intelligence Scribes in Psychiatry. Focus. 2025;23(1).
[7] You JG et al. Ambient Documentation Technology in Clinician Experience. JAMA Network Open. 2025.
[8] McCrudden KE et al. AI-Powered Documentation for Mental Health Providers. JMIR Formative Research. 2026.
[9] Shah SJ et al. Physician Perspectives on Ambient AI Scribes. JAMA Network Open. 2025.
[10] Sun QW et al. Charting the ethical landscape of generative AI-augmented clinical documentation. J Med Ethics. 2025.
[11] Rahrisch A et al. Generative AI in preanesthetic consultations. J Clinical Anesthesia. 2026.
