BaseHealth, a predictive health analytics company that empowers health systems and Medicare Advantage (MA) plans to proactively manage rising risk within populations, has introduced a predictive analytics platform that mines clinical laboratory data, enabling healthcare organizations (HCOs) to improve population health, boost quality scores, and optimize risk adjustment.
Available now for HCOs across the country, BaseHealth’s platform combines laboratory data with insurance claims data, published clinical research, and other data sources, then applies machine learning to prospectively identify patient health risks and suggest appropriate clinical interventions to address those risks. By proactively diagnosing and treating emerging health conditions, HCOs can improve patient care while reducing the risk of higher-than-expected costs for health plan beneficiaries. The process can especially benefit MA plans, which receive capitated payments for the care of Medicare beneficiaries and must carefully gauge the risks and costs across a population.
HCOs’ clinical teams have long seen lab results as a valuable source of data for decisions on treatments and prescriptions. However, due in part to organizational siloes and fragmentation, few business and financial teams across HCOs have fully taken advantage of lab data’s value in predictive modeling to develop prospective risk profiles for their patient populations in service of key business objectives such as risk adjustment, quality improvement and population health management.
In its first deployment of the new platform, BaseHealth is partnering with Sonora Quest Laboratories, Arizona’s leading provider of diagnostic testing and information services
In a recent case study conducted for a population of 10,000 new MA members, BaseHealth utilized Sonora Quest’s laboratory data to identify potential risk and interventions, uncovering incremental additional revenue opportunity of $3.1 million, as well as an opportunity for $1.5 million in accelerated revenue.
