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Heart teams in the Netherlands: From teamwork to data‑driven decision-making
E Wierda1, D van Veghel2, A Hirsch3
1Department of Cardiology, Dijklander Hospital, location Hoorn, Hoorn, The Netherlands. e.wierda@amsterdamumc.nl.
Summary
The heart team approach optimizes cardiovascular intervention decisions, enhancing patient selection and safety. Future integration of artificial intelligence will further improve data interpretation and decision support for better patient outcomes.
Area of Science:
- Cardiology
- Medical Informatics
- Healthcare Management
Background:
- Cardiovascular disease interventions are major life events for patients.
- The heart team concept is crucial for cost-effective invasive cardiovascular care.
- Optimizing patient selection and risk/benefit analysis is essential.
Purpose of the Study:
- To evaluate the effectiveness of the heart team concept in cardiovascular care.
- To explore the role of artificial intelligence in supporting heart team decisions.
- To propose restructuring the heart team for future demands.
Main Methods:
- Review of the heart team's role in patient selection and decision-making.
- Discussion of artificial intelligence applications in medical imaging and decision support.
- Recommendations for restructuring the heart team with clear leadership and accountability.
Main Results:
- The heart team optimizes patient selection and risk/benefit assessment for interventions.
- Artificial intelligence offers potential for objective interpretation of medical data and decision support.
- Restructuring the heart team is necessary for future readiness.
Conclusions:
- The heart team concept is vital for informed consent, shared decision-making, and patient safety.
- Artificial intelligence integration is key to managing future medical data loads.
- A restructured heart team with clear governance will enhance future cardiovascular care delivery.
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