Predictive Analytics uses patient health information to drive medical decision making. The breadth of digital data available through point-of-care encounters, lab values, HRAs, genetic markers, and biometrics has resulted in an increase in the capabilities of traditional analytical tools. This data is combined with medical guidelines and patient profiles to reveal contraindicated care, gaps in care, and opportunities for cost savings. This is another step to improve overall efficiency in medical care.
Batch healthcare analytics is a technical application that retrospectively evaluates population data sets. These evaluations can be used to enhance disease management. A benefit of batch health care analytics is the use of "predictive modeling” across multiple clinical conditions. This process can identify undiagnosed conditions for patients within an insurer's patient population or suggest interventions to prevent conditions from developing.