Validated using Hong Kong's four-million-EMR dataset, the Chinese University of Hong Kong's diabetes model is now being expanded to cover other chronic diseases. The research team plans to transform the predictive model into a "definitive" diabetes risk modelling tool tailored to Asian populations while expanding it to cover "a broader range of chronic conditions.
CDOM was developed using training data from more than 21,000 type 2 diabetes (T2D) patients stored in the Hospital Authority (HA) EMR-linked Hong Kong Diabetes Register (HKDR), collected between 2002 and 2019. It underwent dual validation funded by the Hong Kong government to assess its ability to predict outcomes in T2D patients and to evaluate the cost-effectiveness of new and existing diabetes interventions. In addition to the HKDR training dataset, the model was validated using an independent cohort of 176,210 patients, drawn from a larger HA EMR dataset containing records of more than four million individuals who have had a blood glucose measurement since 2000. This dataset includes longitudinal admissions, labs, prescriptions, diagnoses, and mortality.
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