Advanced Clinical functionality puts clinical predictive modeling into the hands of Benefit Informatics customers. Advanced Clinical functions integrate key analytical components, including population risk, gaps in care and episode grouping into existing and new Data Analysis and Reporting applications. Read about HealthNow Administrative Services implementing Advanced Clinical.
The Johns Hopkins Adjusted Clinical Groups® (ACG®) System offers a unique approach to measuring morbidity that improves accuracy and fairness in evaluating provider performance, identifying patients at high risk, forecasting healthcare utilization and setting equitable payment rates. The ACG research and development team, characterized by excellence in both research and practice, has been performing risk measurement and case-mix categorization for more than 30 years.
With integrated Advanced Clinical funcitonality, you can do the following in one location:
- Patient Risk Stratification – Utilizing the Johns Hopkins Adjusted Clinical Groups (ACG) System, each patient is assessed for a wide variety of risk factors in order to explain utilization. This sophisticated predictive model allows the population to be stratified to support population health monitoring and care management interventions.
- Medical Care Episode Grouping – Episode grouping provides measurement of healthcare utilization and expenditures (costs) for various medical conditions, allowing comparisons of healthcare providers across a region or a specialty.
- Analysis of Key Care Gaps – Identify specific patients with gaps in medical and pharmaceutical care. This process utilizes specific and standard care patterns within the Johns Hopkins ACG System to identify individual patients who are lacking care markers.
- Key Biometric Value Analysis – Analysis of data supplied by a medical management or health risk assessment vendor, including lab values (cholesterol, lipids, etc.), BMI, blood pressure and more. This process provides additional clinical data for identification of high-risk patients within the population.