EP Predict risk engines are built on robust, peer-reviewed clinical research and align with national guidelines for cardiovascular risk assessment. At their core are validated algorithms—such as QRISK3—developed by leading researchers in clinical epidemiology and general practice. These models are derived from large-scale cohort studies using real-world patient data, ensuring relevance and reliability in everyday clinical settings.
The QRISK3 algorithm, for example, was developed and validated using data from over 10 million patients across UK general practices. It incorporates a wide range of clinical risk factors, including mental health conditions and medication use, to provide a nuanced 10-year cardiovascular risk estimate for both men and women.
EP Predict engines implement these models in accordance with the latest NICE guideline NG238, which recommends QRISK-based assessment for identifying individuals at risk of cardiovascular disease. This ensures that our tools support evidence-based decision-making and are aligned with national standards for prevention and treatment.
All clinical models used in EP Predict undergo rigorous validation and are governed by a structured clinical oversight process. Updates are informed by emerging evidence, changes in NICE guidance, and feedback from practicing clinicians.