Chronic disease can develop for years before diagnosis, yet many risk calculators rely on decades-old patient cohorts and a single snapshot of a patient’s health.
Researchers at Meir Medical Center, part of Clalit Health Services, retrained cardiovascular and Type 2 diabetes risk models using more than 1.6 million real-world patient records. This session pairs their findings with a practicing clinician’s perspective on turning earlier risk prediction into care decisions.
In this 60-minute webinar, you’ll learn:
- Where traditional risk calculators fall short and what contemporary data changes
- How cardiovascular and Type 2 diabetes risk models performed after retraining
- How predictive insights can guide patient prioritization, earlier intervention and follow-up