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Cardiovascular Risk Management with P-CARDIAC Developing a Data-Driven Approach in Hong KongPersonalised CARdiovascular DIsease risk Assessment for Chinese (P-CARDIAC) is a machine-learning driven model developed for the Hong Kong population to estimate the 10-year risk of cardiovascular events among individuals with established cardiovascular disease risk. The School%u2019s research team collaborated with HKU School of Computing and Data Science to utilise anonymised local health data routinely collected from Hong Kong Hospital Authority electronic health records. Leveraging machine-learning techniques to analyse over 120 types of risk factors in a structured data format, P-CARDIAC provides an objective reference of cardiovascular disease risk for healthcare providers to determine optimal management plans for patients.Healthcare professionals can use P-CARDIAC to enhance patients%u2019 awareness of modifiable risk factors, leading to better control of these factors and ultimately reducing the occurrence of cardiovascular events in high-risk individuals. This proactive approach lessens the healthcare burden while shifting the focus of healthcare services towards prevention rather than treatment. Consequently, P-CARDIAC contributes to creating a more supportive work environment for frontline healthcare professionals, improved cardiovascular health outcomes and a more sustainable healthcare system for the general public.The development of P-CARDIAC was made possible with support from the Innovation and Technology Fund of the Innovation, Technology and Industry Bureau, exemplifying a successful public-private-academic partnership that uses the electronic health record sharing system to enhance patient care. Recognised as one of the Hospital Authority%u2019s Health Data Collaboration Projects 2024, P-CARDIAC is setting a precedent for using electronic health records in improving health outcomes.The effectiveness of P-CARDIAC will be evaluated in the HEARTWISE study, focusing on its application in secondary care for cardiovascular patients. 47

