Using big data to treat patients more efficiently
Earlier this year, Leidos published an article on using big data to treat patients more efficiently and at lower cost. This is a small preview of the article. You can read the entire article by clicking the link below.
Americans spent $3.2 trillion dollars on healthcare in 2015, the most recent year for which the Centers for Medicare and Medicaid Services have complete data. That's almost $10,000 per man, woman, and child in the country — and the numbers are growing. Healthcare spending increased 5.8% year-over-year in 2015. By 2020, leading healthcare IT company Leidos estimates that healthcare spending will comprise 20% of U.S. GDP
With America's aging population, and more seniors entering the Medicare system daily, costs are almost certain to continue to rise in the near term. What's essential now, for healthcare providers, for insurers and government — and most importantly for patients — is to begin bending the cost curve.
Read the white paper to learn how to develop a Population Health program that is proactive and addresses the total health of your patient population and effectively manage cost.