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Health Care Analytics


Currently the most prevalent application for real-time health care analytics is within Clinical Decision Support (CDS) software.

These programs are used to analyze clinical information at the point of care and support health providers as they make prescriptive decisions.

These real-time systems are “active knowledge systems, which use two or more items of patient data to generate case-specific advice

Predective Analytics

Predictive Medicine 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 the first step in improving the overall efficiency of hospitals.

Batch Health Care Analytics

Batch health care analytics is a technical application in which retrospectively evaluates population data sets. These evaluations can be used to supplement disease management.

A benefit of batch health care analytics is it's use of "predictive modeling across multiple clinical conditions.[5] This process can identify undiagnosed conditions for patients within an insurer's patient population, or suggest interventions to prevent conditions from developing.

A4M Data Driven Decisions X² The Future of Medicine

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