2 min read

Analytics to Power Successful ACOs

By Signify Health Team on 3/4/18 1:11 PM

In 2016, 23 of Signify Health's Track 1 ACOs increased net patient revenue by 17 percent and saw an improvement in 14 of 17 quality measures. These successes were dependent on Signify's data-driven model.

Signify's approach draws upon our Enterprise Data Warehouse analytics to support care coordination and ACO Quality Reporting under the Group Practice Reporting Option. By merging standardized information with care management strategies, our ACOs can identify gaps in care and make necessary adjustments to workflow barriers for continuous improvement.

Signify Health analytics aggregates data into actionable reports, giving providers a deeper insight into their patients. Quality and practice managers can then analyze the reports to drill down changes at the patient level and identify improvements across all levels of the organization.

One Signify Health partner, Margaret Mary Health, has found success in proactively managing high-cost patients through data analysis. The health system can clearly pinpoint patients with high risk scores and excessive ED visits allowing them to implement new models of care delivery that will minimize inappropriate or unnecessary utilization.

blog image

Care coordinators and population health nurses utilize population health software to drive daily workflows. The Care Management modules promote comprehensive care delivery including prevention and wellness initiatives, HCC risk coding, risk stratification, and productivity measurement. These are all used to power Signify Health’s constantly evolving change management processes.

Our results show effective use of data as a Track 1 ACO yields the highest improvements in quality and savings. Hospitals and clinicians can now turn to powerful analytics to change the trajectory of their patient care and sustainably prepare for the future.