Population health analytics technology supports many innovations, especially those that involve a shift to value-based care. Tapping the power of big data, population health analytics provides valuable information for the successful delivery of care and analysis including identifying at-risk patients, understanding disease patterns, developing care programs to address specific population needs and allocating resources.
Without population health analytics, most currently promising trends would have no potential. Advanced primary care, for example, depends on algorithms that use real-time data to identify patients for appropriate care at their moment of need. Achieving health equity is possible only with the data and computing power that wasn’t available in the past to analyze population health patterns.