
ESC TV Today – Your Cardiovascular News Season 4 - Ep4: The future of guidelines in an era of big data and AI - Exercise in hypertrophic cardiomyopathy
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Mar 5, 2026 Michael Papadakis, a sports cardiology expert on hypertrophic cardiomyopathy, and Kostas Koskinas, an interventional cardiologist who summarizes recent studies. They discuss AI and big data shaping guideline development and living, continuously updated recommendations. They cover individualized risk scores, EHR integration, and new, personalized advice on exercise for people with hypertrophic cardiomyopathy.
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Big Data Enables Truly Individualized Risk Scores
- Big data will make risk scores far more precise and individualized.
- Guidelines can use millions of patient records to phenotype patients and tailor prescriptions beyond trial populations.
Make Guidelines Living Documents
- Guidelines should evolve into living documents with continuous updates to reflect rapid advances in cardiology.
- Continuous updates are needed so clinicians know quickly when new tools, devices, or drugs are effective or when treatments should not be used.
Embed Guidelines Into The Electronic Health Record
- Integrate guideline decision support directly into clinical workflows like EHRs to improve implementation.
- Use tools (ESC chat, co-pilots) that let clinicians query a patient's data and get actionable suggestions at the point of care.
