Within healthcare, a lot of analytics are designed to help look inside patients — both their health records and their bodies. But digital platforms also can be used by healthcare and long-term care providers to look inside their own organizations, and how to better allocate spending.
Data science platform CloseLoop unveiled two new “data science solutions” designed to make providers both more cost-effective for both residents/patients and themselves: Evaluation, which is aimed at monitoring population health programs, and ACO-Predict, which is aimed at risk stratification, designed for complex care management within accountable care organizations.
More senior care providers are looking to ACOs to maintain quality care for residents while at the same time managing, or even lowering, costs.
ClosedLoop announced the two releases on Tuesday.
The ACO-Predict tool is free for all Medicare ACOs; the use of artificial intelligence in ClosedLoop’s systems allows for increased accuracy in evaluating the risk levels for patients, the company said.
“To succeed in value based care, organizations need to do two things,” ClosedLoop CEO and co-founder Andrew Eye said in a statement. “They need to be able to predict the future, and they need to be able to change it. We are bringing AI-powered prediction to every Medicare patient in the country. And with Evaluate we are arming population health teams with data and rigorous analysis to demonstrate the impact their programs are having both clinically and financially.”
Although the data analysis here is primarily aimed at helping organizations save money, there has been some concern recently that long-term care providers’ leaning into ACOs comes at the cost of improved resident care.
One study from 2019 contended that within complex care settings, ACOs were not improving care or reducing costs. Other studies, however, show that cost-saving measures can be implemented without sacrificing care.
