Skip to main content

Unfortunately we don't fully support your browser. If you have the option to, please upgrade to a newer version or use Mozilla Firefox, Microsoft Edge, Google Chrome, or Safari 14 or newer. If you are unable to, and need support, please send us your feedback.

Elsevier
Publish with us
Contextual intelligence: Integrating multimodal data for complex, multimorbid patients
Article

Contextual intelligence: Integrating multimodal data for complex, multimorbid patients

September 8, 2026

Insights from Elsevier's European Physician Advisory Board on where AI can help to solve healthcare's fragmentation problem.

Patients with multiple chronic conditions are managed across disconnected specialties, each working from partial data, with no visibility into how their conditions interact or evolve over time. A decision made to treat one condition can quietly destabilize another. This isn't a data problem alone; it's the root failure of how multimorbid care is structured today.

Elsevier's European Physician Advisory Board (EPAB), drawing on a structured evidence review and the frontline experience of physicians across European health systems, examined where artificial intelligence can genuinely change this picture, and where the barriers are more organizational than technical. The result moves past AI hype to offer a grounded, physician-informed view of what implementation actually requires.

Contextual intelligence - European Physician Advisory Board White Paper

Discover how AI can move multimorbidity care from fragmented to contextual

Read the full paper opens in new tab/window