Computerised decision system for diabetes mellitus and associated complications — CODES

This Diabetes mellitus (DM) and associated cardiovascular complications represent two of the major global healthcare problems. In Romania, the prevalence of DM is approximately 6% and the prevalence of pre-diabetes states (also a cardiovascular risk factor) is 8.5%. The risk of complications decreases considerably [11, 12] by controlling the risk factors. Computerized care surveillance technologies are strongly encouraged also in eHealth Action Plan for 2012–2020, European Commission. Improvement of risk prediction for cardiovascular complications in patients with DM is crucial to the identification of high-risk individuals who could benefit from preventive measures. There is a realistic necessity of a computerized system for prevention and management of these risk factors. We propose in this paper a developing concept of an Intelligent Clinical Decision Support System for Diabetes Mellitus (DM) and Related Cardiovascular Complications, based on Artificial Intelligence Systems. The purpose of the system is to assist clinicians in establishing the complications risks for DM patients, to provide recommendations and alarms during patients' investigation, based on Clinical Guidelines and to generate evolution patterns for DM complications, using a combination of traditional risk factors, novel biomarkers and imagistic tests.