COVID-19

Success Stories

Health Catalyst

Analytics Enables Optimized COVID-19 Vaccination Efforts

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.

Robert DeMichiei

Will the Revenue Ever Return? COVID-19 and the Rise of the Insurers; the Case for Operational and Cost Transformation

Join our live webinar with Rob DeMichiei, Strategic Advisor for Health Catalyst and former Executive Vice President and Chief Financial Officer for University of Pittsburg Medical Center (UPMC), to learn more.
What You’ll Learn

How insurers look at their medical expenses, and their plans to reduce utilization and steer volumes away from traditional providers.
The implications of price transparency; why a rational pricing strategy is critical to success.
Using existing EHR data to measure and assess 100 percent of your clinical costs.
How improved costing enables service-line management and allows for improved clinical care delivery and insight into profitability.
How activity-based costing can help identify physician and clinical variation.
Implications of inaccurate RVU/RCC costing on contract negotiations, resource management, and productivity reporting.
Benefits and simplicity of activity-based (consumption) costing.

Daniel Orenstein, JD
Stephen Grossbart, PhD

2021 Healthcare Trends: What Leaders Need to Know from COVID-19 to New Administration Policies (White Paper)

While much of the healthcare industry was eager to put 2020 behind it, the new year brings its own challenges, concerns, and promises. Trends in the three main categories of new Biden administration policy, care delivery, and healthcare technology will shape 2021, with key issues including the long-term effects of COVID-19, future emergency preparedness, and the outlook for the Affordable Care Act (ACA). Healthcare leaders can prepare for this pivotal year by understanding critical areas to watch within these categories and how events, activities, and political appointments will affect the healthcare ecosystem.

Health Catalyst

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.

Health Catalyst

COVID-19 Capacity Planning Tool Provides Advanced Analytics and Improved Operational Effectiveness

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 System 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.

Daniel Orenstein, JD
Stephen Grossbart, PhD

2021 Healthcare Trends: What Leaders Need to Know from COVID-19 to New Administration Policies

While much of the healthcare industry was eager to put 2020 behind it, the new year brings its own challenges, concerns, and promises. Trends in the three main categories of new Biden administration policy, care delivery, and healthcare technology will shape 2021, with key issues including the long-term effects of COVID-19, future emergency preparedness, and the outlook for the Affordable Care Act (ACA). Healthcare leaders can prepare for this pivotal year by understanding critical areas to watch within these categories and how events, activities, and political appointments will affect the healthcare ecosystem.

Health Catalyst Editors

Data Science Reveals Patients at Risk for Adverse Outcomes Due to COVID-19 Care Disruptions

One of the biggest challenges health systems have faced since the onset of COVID-19 is the disruption to routine care. These care disruptions, such as halted routine checkups and primary care visits, place some patients at a higher risk for adverse outcomes. Health systems can rely on data science, based on past care disruption, to identify vulnerable patients and the short- and long-term effects these care disruptions could have on their health. Data science can also inform the care team which care disruptions to address first. With comprehensive information about care disruption on patients, health systems can apply the right interventions before it’s too late.

Health Catalyst

Data and Analytics Helps Deliver Safe Care During the Pandemic

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.

Health Catalyst

Integrated Data and Analytics Critical for COVID-19 Response and Recovery Planning

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.

Health Catalyst

Prioritizing Outreach for Care Coordination Amid the COVID-19 Pandemic

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.

Health Catalyst Editors

Why Data-Driven Healthcare Is the Best Defense Against COVID-19

COVID-19 has given data-driven healthcare the opportunity to prove its value on the national and global stages. Health systems, researchers, and policymakers have leveraged data to drive critical decisions from short-term emergency response to long-term recovery planning.
Five areas of pandemic response and recovery stand out for their robust use of data and measurable impact on the course of the outbreak and the individuals and frontline providers at its center:

Scaling the hospital command center to pandemic proportions.
Meeting patient surge demands on hospital capacity.
Controlling disease spread.
Fueling global research.
Responding to financial strain.

Health Catalyst

LOS Improvement Efforts Saves $24M Annually

At MultiCare Health System (MultiCare), inconsistent application of improvement methods, differing competencies, misaligned projects, and inefficient performance data collection were impeding the organization’s ability to improve, leaving quality and operational metrics below expectations. Using a data platform and a robust suite of analytics applications, MultiCare has integrated analytics support into its improvement teams, reducing hospital length of stay (LOS), and achieving significant cost savings.

Holly Rimmasch
Ed Corbett, MD
Anne Marie Bickmore

A Sustainable Healthcare Emergency Management Framework: COVID-19 and Beyond

With an ever-changing understanding of COVID-19 and a continually fluctuating disease impact, health systems can’t rely on a single, rigid plan to guide their response and recovery efforts. An effective solution is likely a flexible framework that steers hospitals and other providers through four critical phases of a communitywide healthcare emergency:

Prepare for an outbreak.
Prevent transmission.
Recover from an outbreak.
Plan for the future.

The framework must include data-supported surveillance and containment strategies to enhance detection, reduce transmission, and manage capacity and supplies, providing a roadmap to respond to immediate demands and also support a sustainable long-term pandemic response.

Health Catalyst

Integrated Data Platform Improves the Effectiveness of State-wide COVID-19 Surveillance

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.

Health Catalyst

Population Builder Makes Data Available to the Masses

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.

Health Catalyst

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.

Taylor Larsen

Healthcare Data Quality: Five Lessons Learned from COVID-19

Healthcare providers knew that COVID-19 would threaten the lives of their patients, but few understood the greater ripple effects across their business and industry as a whole. For providers, two significant COVID-19-induced challenges arose: analytic strain and resource limitations. These challenges highlighted the critical importance of data quality.
Healthcare leaders can improve data quality throughout their organizations by understanding the data quality lessons learned from COVID-19. Five guidelines from these lessons will help organizations prepare for the next pandemic or significant analytic use case:

Assess data quality throughout the pipeline.
Do not leave analysts to firefight.
Look outside the four walls of the organization.
Data context and purpose matters.
Use a singular vision to scale data quality.

Health Catalyst

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.

Health Catalyst Editors

Three Analytics Strategies to Drive Patient-Centered Care

The cost of uncoordinated care that fails to prioritize patient needs is estimated to be over $27.2 billion. One of the primary reasons behind these wasted healthcare dollars is a failure to effectively leverage data to understand patient needs—a must-have to deliver patient-centered, value-based care (VBC).
Three analytics strategies enable health systems to focus on patients while also meeting the financial standards for VBC delivery:

Prioritize patient outreach by risk level.
Deploy data tools to combat COVID-19.
Promote data literacy.

Detailed information from comprehensive data sets allows health systems to understand patient needs at a granular level and then use that insight to drive care decisions. More informed care ensures health systems are also meeting the core elements of VBC—managing costs, delivering quality, and ensuring an excellent patient experience.

Health Catalyst

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.

Health Catalyst Editors

To Safely Restart Elective Procedures, Look to the Data

Many health systems have realized they lack the data and analytics infrastructure to guide a sustainable reactivation plan and recover lost revenue from months of halted procedures due to COVID-19. However, with operational, clinical, and financial data, augmented by analytics tools, leaders have the visibility into hospital and resource capacity to guide a safe, sustainable elective surgery restart plan.
The first step on the road to recovery for health systems is access to robust analytics to understand the full impact of COVID-19 on clinical, financial, and operational outcomes. Second, organizations need data-sharing tools, like data displays and dashboards, allowing leaders to make decisions based on consistent data that support the organization’s reactivation goals. Leaders can even take the data one step further with predictive models and forecast procedure count, staff, and resources.

Health Catalyst

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.

Heather Schoonover

Using Data to Ensure a Safe Return to School During COVID-19

With limited information about the novel coronavirus, industries are scrambling to create an effective response to more quickly and safely return to life before the pandemic. Data has proven to be the best way to capture information about the developing virus. With access to the latest, comprehensive COVID-19 data, decision makers in any industry—from education to healthcare—can develop a sustainable, viable approach to pandemic-era operations.
In the education sector, leaders can use accurate, up-to-date COVID-19 data to make decisions about implementing in-person or virtual learning. When states across the country instituted virtual learning as a stopgap until it was safe to resume in-person education, the most vulnerable students experienced the greatest disadvantages. As these disparities grow with continued virtual learning, it is an imperative that leaders have access to the latest coronavirus data to rapidly return to face-to-face learning.