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Results

Improving Population Health: Data-Driven Approach to Identifying and Engaging Patients with High Risk of Mortality from COVID-19

Leveraging the Health Catalyst® Data Operating System (DOS™) platform and the ACO Risk Stratification Dashboard, MemorialCare developed and implemented an algorithm to identify and risk-stratify members at the highest risk of mortality from COVID-19. Care managers can visualize at-risk members and the specific factors contributing to the increased risk, allowing them to quickly prioritize member lists for outreach—improving population health and decreasing mortality.

Featured Outcomes

  • Developed and deployed the algorithm for COVID-19 risk for mortality within four days. The algorithm was applied and visualized on MemorialCare’s entire ACO population.
  • Within one week, the algorithm was expanded to include MemorialCare’s entire HMO population.
  • 66 percent of individuals in the extremely high-risk category of MemorialCare’s ACO population were engaged by care management.

Responding and Recovering in Clinic Operations with Advanced Analytics

Acuitas Health was challenged to assist the providers it supports in rapidly modifying clinic operations to address COVID-19. Leveraging the Health Catalyst® Data Operating System (DOS™) platform, Acuitas Health is able to aggregate and visualize new data, supporting its clients in quickly transitioning to telehealth, and monitoring and managing the impact of canceled appointments on operational and financial performance.

Featured Outcomes

  • In just one week, deployed integrated dashboards for managing clinic capacity, visit volume, COVID-19 mobile appointments, and telehealth appointments.
  • Supported the shift of telehealth from a supplement to a primary modality, allowing its customers to lay the foundation for more comprehensive and available virtual care.
  • Provided the data and analytics critical for both the ongoing management of the clinical realities of the COVID-19 pandemic, and business redesign to drive financial recovery.

Virtual Care Analytics Supports Rapid Change in Ambulatory Care Delivery

Community Health Network (CHNw) rapidly adjusted to COVID-19, changing primary care appointments to virtual care. With this change came the need for new data and analytics to assess the impact on the number of completed appointments, and the implications for provider productivity and reimbursement rates. CHNw is using data and analytics to effectively manage the transition from in-person visits to virtual visits, safely meeting patient needs while also ensuring ongoing financial viability.

Featured Outcomes

  • In just one-week, deployed COVID-19 virtual visit scenario planning.
  • Virtual visits now comprise more than 80 percent of all visits—40K visits in just one month.
  • Efficient prioritization of the ambulatory visit backlog.

Analytic Insights Help Drive COVID-19 Financial Recovery Plan

Community Health Network (CHNw) desired to understand the financial, provider, and overall impact of COVID-19 related declines in elective surgeries. The data needed to understand the impact and prioritize the organization’s elective surgery restart plan resided in disparate systems, requiring hundreds of hours of manual data review. Using data and analytics, CHNw is able to plan how to optimally meet its patients’ needs and effectively recover from COVID-19 revenue loss.

Featured Outcomes

  • Integrated analytics, enabling the organization to develop a long-term surgical financial recovery plan.
  • Hundreds of hours of manual data aggregation and evaluation avoided.
  • Efficient prioritization of the elective surgery backlog.

Analytics Accelerates COVID-19 Elective Surgery Restart

Banner Health, regarded as a top health system in the country for clinical quality care, was well prepared to respond to the COVID-19 pandemic and had suspended elective surgeries to help keep resources available for patients with COVID-19. Leveraging Health Catalyst’s data platform and analytics, Banner Health has the integrated clinical, financial, and operational data required to develop the organization’s elective surgery financial plan.

Featured Outcomes

  • In just two weeks, deployed a COVID-19 elective surgery impact analysis application.
  • Data-driven recovery plan with integrated clinical, financial, and operational data and analytics.
  • Hundreds of hours of manual data aggregation and reporting avoided.
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