AI-Driven Mental Health Decision Support Linked to Clinician Resilience and Preparedness

Supplementary file 1 from a study examining the association between AI-enabled decision support tools and clinician wellbeing in the UK's National Health Service. The document, authored by Margareta-Theodora Mircea and last updated in April 2026, contains results from a survey of 131 clinicians across nine NHS Mental Health Talking Therapies services. It reports on outcomes including clinician wellbeing, task performance, and cognitive load during patient assessments.

Use Cases

• Analyzing the relationship between AI tool exposure and clinician cognitive load based on survey results mentioned in the description
• Studying moderating factors like clinician experience and workload on assessment performance as described in the methodology
• Investigating associations between AI-supported assessments and clinician wellbeing outcomes reported in the results

Strengths

• Includes results from a survey of 131 clinicians, providing a specific sample size.
• Focuses on a timely topic of AI decision support in mental health services within the UK's NHS.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is a 17.6 KB DOCX file, indicating a very limited scope likely containing textual study results rather than raw survey data.

Provenance

Source

figshare, author Margareta-Theodora Mircea

Collection Method

Observational study surveying clinicians on their experience with an AI-based decision-support tool.

Time Range

Study period not specified; metadata last updated in 2026.

Freshness

Last updated 2026-04-22 05:45:53; freshness should be verified.

Geography

United Kingdom (UK National Health Service)