European Healthcare LLM Review on Automation and Compliance

A 15.8 KB document synthesizing evidence from 519 evaluation studies on Large Language Models in European healthcare quality management. The narrative review by Markus Knott examines LLM deployment within the EU regulatory framework from 2023-2025, focusing on process automation and compliance monitoring.

Use Cases

• Analyze the distribution of evaluation study metrics, such as the 95% focusing on accuracy versus the 16% assessing fairness.
• Benchmark reported efficiency gains, like the 50% reduction in processing time from AI-assisted documentation tools.
• Review evidence on LLM-generated informed consent forms, including the 76% readability improvement.
• Examine the proposed risk-stratified implementation framework for applications like standard operating procedure automation and compliance monitoring.

Strengths

• Analysis is grounded in a review of 519 specific evaluation studies.
• Provides concrete performance metrics, such as a 76% readability score for consent forms and administrative workload reductions of up to 30%.
• Focuses on the specific European regulatory context including MDR, GDPR, and the EU AI Act.

Limitations

• The document is a 15.8 KB review, not a structured dataset for quantitative analysis.
• Evidence is noted to derive predominantly from non-European contexts and simulated settings.
• The review identifies critical gaps, such as only 5% of studies utilizing real patient care data.

Provenance

Source

Markus Knott via figshare.

Collection Method

Narrative review synthesizing evidence from systematic reviews and implementation studies.

Time Range

2023-2025.

Freshness

Last updated March 2026, covering studies from 2023-2025.

Geography

European perspective and regulatory framework.