The Clinical Knowledge Gap

Inside the report

What is the clinical knowledge gap?

Healthcare does not have an information shortage. Guidelines, journal articles, drug references, pathways and local protocols keep expanding, and AI is making access faster still. The gap the report describes is the practical distance between that evidence and a trusted, locally applicable answer that a clinician can reach at the point of care.

What the report explores

Guidance beyond office hours. Across UK protocol opens on Eolas, 38.7% occurred outside weekday 8am to 6pm or at weekends, and 16.3% between 10pm and 8am. That describes when guidance was opened, not staffing or unmet need.

Evidence meets local context. Within Eolas, local protocols were opened 5.5 times as often as national and global references. That does not mean national evidence matters less: local clinical guidance often carries it into practice, adding the formularies, pathways and escalation routes that apply in one organization.

Knowledge that travels with the clinician. 59.5% of protocol opens in the analyzed dataset happened on mobile devices. The report asks whether clinicians reach the same approved guidance on every device they use.

Sources behind AI answers. As natural-language questions sit alongside document navigation, some Ask Eolas answers were followed by a click to the underlying referenced document. Faster answers make the source more important, not less.

What these findings mean for healthcare leaders

This part is interpretation and recommendation. The report suggests treating clinical knowledge management as governed infrastructure rather than a library of documents. In practice that means clear ownership of each important protocol, one approved version, a reliable updating process, decisions about which sources AI can draw from, and access that fits clinical workflows on mobile and desktop. It closes with a ten-question readiness check, because knowledge governance for healthcare AI is not only a model question.

About the data and sources

• External research from public institutions, professional bodies, peer-reviewed studies and industry surveys describes the wider environment.
• Aggregate platform activity summarizes recorded access within Eolas from approximately October 2025 to September 2026, UK-led where indicated. It does not establish clinical outcomes, individual competence or the behavior of all clinicians, and event counts are not clinician counts.
• Interpretation is Eolas Medical’s view of what the combined signals may mean, set out as a framework rather than a measured outcome.

Sources cited in the report

• WHO Regional Office for EuropeArtificial intelligence is reshaping health systems: state of readiness across the WHO European Region (2025)
• OECDHealth at a Glance 2025: Data and digital
• American Medical AssociationPhysician sentiment report on augmented intelligence (March 2026)
• NHS EnglandNHS Staff Survey 2025: National Results Briefing
• Weller et al., BMJ Open (2026)Systematic review and meta-analysis of information source usage
• Del Fiol et al., JAMA Internal Medicine (2014)Clinical questions raised by clinicians at the point of care: a systematic review
• Wolters Kluwer Health, with IpsosFuture Ready Healthcare survey (March 2026)