Uptake of Clinical Decision Support Systems Among Health Care Professionals in Six European Countries and the United States: Cross-Sectional Survey Within the I-CARE4OLD Project

CLAIM (Claim-Specific Citation Network audit, sometimes called CSN) is a forensic method for testing whether a scientific or medical claim's authority is supported by evidence or by citation dynamics. It detects citation bias, amplification, citation diversion, citation transmutation, dead-end citation, and back-door invention.

The ASSAY skill runs a structured, CLAIM-compatible extraction and integrity assessment on an article. Output is a verdict (sound, mixed, flagged, problematic, or cascade), a count of claims extracted, the central key claim, and an integrity note describing the structural read.

This scan restricts ASSAY to peer-reviewed publications and preprint servers. Journalism, opinion pieces, and government documents are evaluated under different frameworks (CAIHL for power and agency; editor's note for context).

ASSAY found the central claims well-supported by the underlying evidence; methodology stands; the integrity-of-citation check raised no structural concerns.

Clinical-decision-support uptake among health care professionals varies materially across the seven jurisdictions surveyed (six EU + US) within the I-CARE4OLD project, with the variance explained primarily by workflow integration and institutional incentive structures rather than tool availability.

Total claims extracted from the article: 9. The key claim is the single most load-bearing assertion the rest of the argument depends on.

Standard cross-sectional survey methodology with appropriate stratification; sample size is published in the methods and the response-rate disclosure is honest. The 'variance explained by integration not availability' claim is the structurally important finding and is well-supported by the regression. Single time-point design limits causal claims; the paper does not over-reach. Peer-reviewed.

Editor's note: The deployment-gap measurement is the rate limiter the AMA's policy adoption now has to plan around. If CDSS uptake is high in Country A and low in Country B with the same tool available, the difference is the layer regulation can touch.

Summary: JMIR: Cross-sectional survey of clinical-decision-support-system uptake across six European countries plus the US, conducted inside the I-CARE4OLD project — quantifies the clinician-acceptance gap that determines whether the documented AI tools are actually deployed.

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