PhD Health Market Quality candidate Arif Khan has been published in the International Journal of Medical Informatics alongside one of the co-authors, CMCRC HMQ senior research scientist and PhD mentor Dr Uma Srinivasan. Their research has uncovered how using and analysing 1.4 million electronic medical records from almost 1 million de-identified patients can help determine when a person will be at risk of developing type 2 diabetes. By using the filtered and sampled dataset to obtain a cohort of 2300 diabetics and 2300 non-diabetic patients, they then developed a ‘comorbidity network’ to visualise the health journey of T2D patients. They have found that over time prevalence of comorbidities in the group of diabetic patients was almost double that of the non-diabetic patients, indicating entirely different ways of disease progression. “The aim of our research is to understand how this health trajectory differs between T2D and non-T2D patients with the help of comorbidity network.” commented Arif Khan. “These insights can subsequently help healthcare providers to better understand high-risk diseases and to formulate appropriate preventive health policies” said co-author Dr Uma Srinivasan. Dr Uma Srinivasan is one of the authors for Flying Blind, a series of three report volumes dedicated to uncovering the acute levels of data fragmentation existing at all levels of Australia’s health landscape. Click here to read Sydney University’s article.