Experienced and Skilled clinical and paraclinical staff supported by high-tech infrastructure to extend personalized patient services, expert advice on nutrition and diabetic products. Since every patient is unique individualized treatment plan is provided through Writer applications
Specialized Case sheets for Diabetes Type I, Type II, Gestational Diabetes and Pre Diabetes. Data mining algorithms are used to, detect and predict presence of disease by using predefined clinical parameters. This clinical data helps physicians in early detection and management of disease condition. Our automated tools uses relevant clinical data to diagnose and intimate patients and physicians about the type of treatment required and intensity of disease
Applying data mining and machine learning methods to large volumes of clinical data and extract patient, clinic and disease relevant patterns. Knowledge discovery in databases (KDD) process is used to extract useful knowledge for relevant clinical data sets Real-Time Continuous Glucose Monitoring to Improve Effects of a Prescriptive Lifestyle Intervention
Utility benefits of self-monitoring of blood glucose (SMBG) and general clinical values together enhance clinical outcomes. Also, SMBG is a significant clinical adjunct for hemoglobin A1c (HbA1c) testing and control. SMBG is also used to provide appropriate feedback to patients on effects of their current activity, food intake and medication compliance. The impact of lifestyle factors on their glycemic control Real time continuous glucose monitoring (rtCGM) system automatically transmit a continuous stream of glucose data to patients as alerts and alarms to their smart watch, or smartphone.