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Evaluation of Socio-Technical Mechanisms Shaping AI Scribe Documentation Failures: A Netnographic Study
Samuel Atiku1,2, Kehinde Owolanke3, Olufisayo Olakotan4
1Digital Technology and Innovation, University of Staffordshire, Stafford, UK.
Journal of Evaluation in Clinical Practice
|August 13, 2026
Summary
Artificial Intelligence (AI) scribes impact clinical documentation safety through socio-technical factors, not just accuracy. Addressing integration, governance, and verification is key for safe AI scribe deployment in healthcare.
Area of Science:
- Medical Informatics
- Human-Computer Interaction
- Clinical Documentation
Background:
- Artificial Intelligence (AI) scribes are increasingly used to reduce electronic health record (EHR) documentation burden.
- While perceived efficiency gains exist, AI scribe documentation quality and safety findings are mixed, with concerns about errors and risks.
Purpose of the Study:
- To investigate how socio-technical conditions influence AI scribe usage, reported issues, and associated risks in clinical documentation.
Main Methods:
- Netnographic analysis of 162 Reddit threads from clinician communities (2023-2025).
- Data collected via Python Reddit API Wrapper and analyzed qualitatively through a socio-technical lens (technology, organization, person, environment).
Main Results:
- AI scribe problems stem from technological constraints (e.g., template rigidity, integration gaps), organizational pressures (governance, billing), time constraints, and individual verification.
- Issues include content errors (misattribution, omissions) and workflow disruptions (latency, crashes).
- Clinical, administrative, and medico-legal risks depend on integration quality, governance clarity, and review capacity.
Conclusions:
- AI scribe safety is influenced by socio-technical interactions affecting error identification and correction.
- Safe AI scribe deployment necessitates improved integration, governance, and verification processes alongside technical performance.
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