How ACOs Use Data Analytics to Improve Outcomes, Reduce Financial Risk

Experts from two accountable care organizations discuss how data analytics helps bolster high-quality care delivery and effective healthcare dollar spending.
New study demonstrates excellent prospective performance of HDAI’s Risk Stratification Models across multiple data sources

Distributed by PRNewswire BOSTON, Jan. 24, 2023 /PRNewswire/ — New research conducted by Health Data Analytics Institute (HDAI), in collaboration with researchers at the Cleveland Clinic, has been published in Anesthesiology, the American Society of Anesthesiologists journal. The results1 show that HDAI’s models, using administrative claims history, accurately predict the likelihood of an adverse event for adult patients at hospital admission. […]
The Risk Stratification Index (RSI) is proven again to be a reliable baseline risk predictor

11.03.21 By Paul Manberg How do we get more value out of limited health care dollars? One strategy is to use a risk stratification tool that helps avoid expensive downstream events by identifying which patients should be selected for additional surveillance and earlier intervention if needed. AI-driven predictors that use administrative data are attractive because the data is readily […]
New AI Analysis Pinpoints COVID-19 Mortality Risk in Medicare Population

Distributed by PRNewswire Findings from Study of 28 Million People Identifies 61 Percent Increase in Deaths Due to COVID-19, Reinforcing the Importance of Reducing Exposure and Expanded Vaccination for this Population. BOSTON, April 14, 2021 /PRNewswire/ — Health Data Analytics Institute (HDAI) – an innovator in healthcare AI solutions – and the Department of Outcomes Research at Cleveland Clinic’s Anesthesiology Institute today […]