HIT Consultant July 9, 2019
Traditionally, providers and health systems have relied on claims-based risk models, such as the CMS-HCC, ACG, and DxCG, which were built to forecast the risk of populations, but not at an individual level. While these models give a fairly good estimation of the risk of the population, they exhibit unsatisfactory estimation if used to predict the risk at an individual level.
Innovaccer Inc., a healthcare data activation company, has taken a major step towards revolutionizing the way we identify the high-risk patients and perform population health management with their in-house research on estimating the future cost of care based on past medical history, clinical and socio-economic data, and many other factors.
Their research paper, titled “Bringing Artificial Intelligence to Healthcare:...
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