A Cognitive Risk Stratification Assessment Saves Resources and Saves Lives

Modern technology has a lot to offer today.Combined with life sciences it has changed the way we live. The healthcare industry is a prime example where the collaborative efforts between medicine and technology are clearly visible. This association has made saving lives easier than ever.

Although, the new ICD-10 standards require revamping of codes, they provide a more robust structure to create the algorithms for patient predictive datawarehouse applications. These software programs successfully predict events before they occur with accuracy up to 90%. These statistics are extremely crucial for accurate risk assessments and predictions.

Lot of resources are wasted on the disparity in diagnoses and the treatment of patients. While different monitoring techniques spend valuable resources, patient suffering escalates. A comprehensive module devised to predict a condition using population health predictive solution is very effective for patient risk stratification. Sustainable use of such technologies in a hospital setting helps divert the right resources where they are needed the most. Thus, compliance can be more cost-effective and resource-friendly if integrated into such an algorithm and that in turn helps reduce patient suffering and saves lives.