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Results

Improving Population Health: Rapid Identification of Patients at Highest Risk of COVID-19

agilon health immediately understood the sizeable risk COVID-19 presented its members. The organization leveraged data and analytics to quickly develop a COVID-19 mortality risk model. agilon health distributed the risk data to its market partners for outreach, improving the ability of its partners to intervene to improve individual and population health.

Featured Outcomes

  • Deployed a COVID-19 risk model in just a few days, assigning risk scores to 125,000 members.
  • Within weeks, teams in each market connected with more than 50 percent of the patients at highest risk for COVID-19.
  • At one partner location, telehealth now comprises nearly 70 percent of visits. The partner went from zero telehealth visits in the first 11 weeks of 2020, to more than 2,200 telehealth visits in weeks 12 and 13.

Virtual Visits and Analytics Enable Continued Delivery of Ambulatory Services During COVID-19 Pandemic

With the emergence of COVID-19, Texas Children’s Hospital was challenged to make data-informed decisions that would allow it to continue offering critically needed healthcare services, while ensuring the safety of its patients, staff, and providers. Texas Children’s dramatically expanded telehealth capacity, converting most in-person primary, specialty, and mental healthcare visits to a phone or video appointment to better meet patient needs. The organization leveraged the Health Catalyst® Data Operating System (DOS™) platform and a virtual health platform to visualize, monitor, and manage the conversion to virtual health, in addition to managing in-person visit volume—enabling the effective management of outpatient capacity, utilization, and financial performance.

Featured Outcomes

  • Nearly 70X increase in the number of telehealth visits—in just two weeks. Approximately 11,000 weekly virtual health visits.
  • 64 specialties providing virtual health visits—nearly 2,000 providers have completed a virtual health appointment.
  • Successfully maintained pre-COVID-19 visit volumes.

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.
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