Health care analytics
Encyclopedia
Health care analytics is a rapidly evolving field of health care business solutions that makes extensive use of data, statistical and qualitative analysis, explanatory and predictive modeling.
or population health management efforts.
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.
Theory
"Predictive vs. Explanatory Modeling in IS Research", and patient health information to drive medical decision making. The breadth of digital data available through point-of-care encounters, medical claims, pharmacy claims, 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. John-David Lovelock, Research VP at Gartner, called health care analytics 'the first step in improving the overall efficiency of hospitals.'Real-time Health Care Analytics
Currently the most prevalent application for real-time health care analytics is within Clinical Decision Support (CDS) system solutions. These programs 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.”Batch Health Care Analytics
Batch health care analytics is a technical application that retrospectively evaluates population data sets (i.e. records of patients in a large medical system, or claims data from an insured population). These evaluations can be used to supplement disease managementDisease management
Disease management may refer to:*Disease management *Disease management...
or population health management efforts.
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.