Clinical Decision Support
Systems that deliver knowledge, alerts, or predictions to clinicians at the point of care, from reference content through to predictive models embedded in the record.
Clinical decision support spans a wide range, from curated reference content a clinician consults deliberately, through rules-based alerting inside the electronic health record, to predictive models that score risk without being asked.
These are governed very differently. Reference content is a subscription and a library decision. An embedded predictive model is a governance decision that brings validation, monitoring, bias review, and accountable ownership with it.
A recurring source of confusion in evaluation is that a health system often already owns predictive capability inside its existing electronic health record and does not know which models are switched on. Establishing that is usually the first step, and it is why an AI model inventory tends to precede any new purchase in this category.
3 companies
Listed alphabetically. This is not a ranking and inclusion is not an endorsement. Every record separates editorially compiled facts from vendor-stated claims, and no regulatory status is asserted. Editorial standards.
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Elsevier
Information analytics company whose health division publishes clinical reference, order set, and patient education content.
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Epic Systems
Electronic health record company whose platform includes embedded predictive and decision support capability alongside the record itself.
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Wolters Kluwer Health
Information services company whose health division publishes clinical reference and decision support content used at the point of care.