The Ohio Health Information Partnership (OHIP) was using its technology to share individual COVID-19 test results to providers at the bedside. The State Department of Health approached OHIP with a request to aid the state by providing a more comprehensive data set for COVID-19. Using the Health Catalyst® Data Operating System (DOS™) platform, OHIP has improved the effectiveness of public health reporting and COVID-19 surveillance.
Renown Health’s data were contained in disparate sources, delaying access to data, and resulting in different data definitions and interpretations of data. Renown Health integrated its data, creating one source of truth for the organization with the Health Catalyst® Data Operating System (DOS™), enabling it to deliver timely, quality care, which is especially needful to address the COVID-19 pandemic.
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.
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.
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.
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.
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.
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.
MultiCare Health System activated its incident command structure and set out to use the EMR to support its critical data and analytics needs to manage a systemwide organizational response to COVID-19. The organization quickly identified that the EMR could not integrate data from disparate sources or provide a systemwide dashboard. It leveraged data and analytics to create a COVID-19 dashboard, allowing the organization to quickly visualize the data required to effectively plan for, and manage, the health system’s response to COVID-19.
COVID-19 required that Billings Clinic manage a disease outbreak and its organizational response to the outbreak. To respond effectively, Billings Clinic needed to integrate widely dispersed data into accurate epidemiological information. The organization utilized data and analytics to quickly visualize the data required to monitor and respond to the disease outbreak effectively.