[infographic] The Health IT-Driven Power of Accountable Care
Researchers at Indiana University have developed a computer model that uses aggregated healthcare data, known as “big data,” to prescribe less-expensive treatments than doctors. The predictive modeling efforts claim to result in a 50% reduction in costs with 40% higher quality patient outcomes, satisfying two of the three major goals of accountable care.
Research conducted by Casey Bennett and Kris Hauser analyzed “clinical data, demographics and other information on over 6,700 patients who had major clinical depression diagnoses, of which about 65 to 70 percent had co-occurring chronic physical disorders like diabetes, hypertension and cardiovascular disease.”
In a simulation of 500 sample cases, their model saved $189 per unit, a savings of 58.5% . The model also improved patient outcomes by roughly 35%. After a bit of tweaking, that number was increased to nearly 42%. This predictive model bodes well for both accountable care organizations seeking to implement new health IT strategies, as well as providers eager for population health management tools.
Below is an original infographic from Healthcare IT Connect examining the growing need for accountable care organizations in the US. We report on the current facts surrounding the formation of accountable care organizations, including developments with the 32 pioneer ACOs and the efforts to promote higher quality care at lower costs. While the US spends the most per capita in the world for healthcare, we do not necessarily enjoy the longest lifespans or highest quality overall health.[full size