With healthcare spending on the rise, UnityPoint Health needed advanced analytics to support clinical decision-making when balancing population health priorities and shared savings. UnityPoint Health and UnityPoint Accountable Care formed a partnership, leveraging its analytics platform and high-value data and analytics to aid in developing the analytics support required for improving patient outcomes while decreasing costs and driving success in risk-based contracts.
U.S. healthcare spending recently reached $4.1 trillion, compelling payers and providers to look for more opportunities to reduce costs.1 As UnityPoint Health matured in its value-based care journey, it needed advanced analytics to support clinical decision-making to move forward with its population health priorities while managing costs.
The organization had volumes of clinical and claims data, but it lacked the consistent data definitions required to support consistent measurement of outcomes and care quality across all care settings, limiting its ability to use high-value data and analytics to drive success in risk-based contracts, including shared savings. It sought to identify patients who would best benefit from care management interventions, but it lacked the predictive models allowing it to segment and risk-stratify patients at risk of increased utilization.
UnityPoint Health needed to develop standard analytics, processes, measures, and tools that could be used across the ACO to further develop high-performing facilities, improve patient care processes and outcomes, and drive success in risk-based contracts.
UnityPoint Accountable Care leverages the high-value data and analytics in the Health Catalyst® Data Operating System (DOS™) platform and a robust suite of analytics applications. The team used the platform to develop the analytics support required to help create happier, healthier patients while driving success in risk-based contracts.
The organization focuses on continuous performance improvement, engaging clinicians in developing common care pathways, using consistent definitions for quality measures and patient outcomes, and partnering in shared-risk incentives.
The organization’s enterprise analytics team serves as a problem-solving partner, focusing on delivering the most valuable solutions. Analytics are embedded into the strategic planning process, enabling clinical and business leaders to make use of its high-value data and analytics to identify opportunities for improvement and make data-informed decisions. UnityPoint Health leverages its analytics platform to establish a single source of truth across its disparate systems to convert raw data into usable data that is accessible and consistent across all settings, gaining insight into patient characteristics and healthcare utilization patterns. The organization uses its high-value data and analytics to develop the value-based care analytics required for ACO success.
UnityPoint Health used claims and clinical data integrated into the analytics platform to develop a model to predict population health and financial trends. The predictive model risk-stratifies patients into low, rising, and high groupings, identifying the likelihood of inpatient admission, emergency department (ED) utilization, 30-day readmission, and the probability that the patient will fail to arrive for a scheduled outpatient visit.
The organization uses its high-value data and analytics to identify improvement opportunities at the point of care. Clinicians use the utilization risk score generated by the predictive model to better prepare for annual wellness visits (AWVs). The organization’s data demonstrates patients with AWVs require fewer care coordination resources and higher usage rates in prevention and maintenance services. These patients also have lower risk-adjusted per member per month (PMPM) and risk scores. UnityPoint Health focuses on ensuring patients receive AWVs, using the AWV to ensure important screenings and interventions are provided to improve patient outcomes and address care gaps, thereby improving value-based care contract performance measures.
The care management team leverages the utilization risk score and event monitoring to identify patients with high or rising risks. Care managers perform post-acute-care outreach, engaging with patients to assess their needs, scheduling appointments with the appropriate clinician in the most appropriate setting, and modifying care plans, mitigating unnecessary healthcare utilization.
Providers across all care settings participate in developing and using data-informed standard work to reduce and improve patient outcomes and decrease unwarranted healthcare utilization, including high-cost imaging, ED and inpatient utilization, and 30-day readmissions, driving down PMPM costs.
"Providers leverage the high-value data and advanced analytics from the Health Catalyst analytics platform at annual wellness visits to effectively manage their panels and provide the right care for patients at the right time, improving patient outcomes and on average achieving more than $31M in shared savings annually."
Megan Romine, DO, MHA, FACP Interim Chief Executive Officer, UnityPoint Accountable Care
Using high-value data and population health analytics, UnityPoint Health provides consistent care across all settings, improving patient outcomes while decreasing costs. Results include:
UnityPoint Health will continue to use a suite of analytics products that support clinical decision-making and move the needle forward for value-based care priorities. The organization plans to further expand its population health support to gain better insight into the impact of social determinants on the health of its patient populations, pursue additional opportunities to integrate claims and clinical data sets, and expand key programs to support network partners.
