University of Louisville Health (UofL Health) manually extracted COVID-19 vaccine administration data from its EMR and combined it with inventory data to conduct time-consuming reconciliations weekly. It lacked the necessary insights to efficiently model and forecast inventory requirements to administer as many first doses as possible without exhausting its supply of second doses. UofL Health leveraged a vaccine inventory management tool, providing the organization with the necessary data analytics to quickly and accurately model vaccination schedules, forecast vaccine supply needs, identify and resolve quality/safety concerns, and generate required regulatory reports.
Efficient Exchange of Data Improves Alternate Care Site Patient Transfers Increasing Capacity for COVID-19 Surge
Paso Del Norte Health Information Exchange (PHIX) and Hospital Corporation of America (HCA) sought to improve data exchange to support safe, effective transfer of patients to alternative care sites. PHIX and HCA leveraged the Health Catalyst Interoperability Suite to provide clinicians a comprehensive view of a patient’s clinical history. Clinicians now have immediate access to the critical patient data required for a safe, efficient patient transfer.
COVID-19 is causing many hospitals and health systems to face resource and capacity restrictions, making the accurate estimation of COVID-19 requirements crucial. Carle Health needed the ability to anticipate the impact COVID-19 would have on its organization and community. After analyzing national COVID-19 capacity planning resources, Carle chose a model that was customized for its organization. Carle leveraged its analytics platform and data science tools, using local data and infection rates to forecast the impact of COVID-19 locally. The organization now has critical insight into when surges will occur and can determine if it has enough available resources.
The COVID-19 pandemic pushed healthcare to rely on data and analytics for decision making and illustrated the criticality of accurate, real-time data and analytics. Despite having ample patient data available for direct patient care, Albany Med’s analytics platform had a two-day lag for much of the data. The organization quickly recognized that rapid access to COVID-19 analytics was essential and that it was vital for leaders to have real-time access to data for decision making during the COVID-19 crisis.
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.
Renown Health was prepared to safely provide care to patients with COVID-19. As the pandemic emerged, the organization used data in its EMR to monitor COVID-19 activity, but quickly identified that it needed more robust disease surveillance and reporting. By leveraging the Health Catalyst® Data Operating System (DOS™) platform and Rapid Response Analytics Solution, Renown Health expanded its COVID-19 data beyond the data in the EMR. It now has the integrated data and analytics required to plan and manage a comprehensive COVID-19 response effectively.
Allina Health needed integrated data and analytics to manage its organizational response and recovery to COVID-19. The organization had a substantial amount of actionable information in its EMR, but some data like supply and equipment were not available. Allina Health leveraged the Health Catalyst® Data Operating System (DOS™) platform and Instant Data Entry Application to capture and visualize the data required to respond to COVID-19 effectively.
OneCare Vermont sought to identify which of its patients were at the highest risk of serious illness or mortality from COVID-19 and which of its patients with chronic healthcare problems needed care for medical issues other than COVID-19. Leveraging its data platform, OneCare Vermont enabled rapid identification of at-risk patients. Providers and care teams use the risk-stratification care coordination tool to proactively conduct patient outreach, including telephone calls and telemedicine virtual visits, ensuring patients receive needed social support and medical care during the pandemic.
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.