HUMS Hospital

To check on predictive analysis.

In managing non-communicable diseases (NCDs) like Type 2 diabetes, hypertension, and hypercholesterolemia, predictive analytics plays a crucial role in enabling early clinical intervention, reshaping healthcare delivery from a reactive model to one focused on prevention and precision medicine. Strategies, such as Early Detection and Risk Stratification, Personalized Treatment Plans, Clinical Decision Support, and Continuous Monitoring to Prevent Complications are central to reducing the long-term burden of these chronic conditions.

Also, HATI could leverage machine learning algorithms that analyse a wide spectrum of patient data (including age, blood pressure, lipid profiles, and lifestyle factors) to identify individuals with elevated risk profiles even before clinical symptoms manifest. Furthermore, integrating complementary diagnostic tools like the Cardiovascular Disease Risk Calculator within MyKare360 could substantially enhance clinicians' ability to predict and prevent serious events such as heart attacks or strokes, particularly in asymptomatic individuals who have not yet experienced such outcomes.

This is a VO - Pending Change Request from HUMS. Zaldy to initiate change request documentation