Integrated Delivery System

Success Stories

Health Catalyst

Predictive Analytics and Care Management Reduces COVID-19 Hospitalization Rates Avoiding Nearly $2M in Costs

For people 65 years of age and older, COVID-19 hospitalization rates in the U.S. have been as high as 1,245.7 per 100,000 population, straining the resources and capacity of health systems. The limited availability of resources at ChristianaCare impacted its ability to effectively identify patients with COVID-19 who were at risk of severe illness and hospitalization. By leveraging its analytics platform, including data science tools and predictive analytics to provide COVID-19 risk prediction, the organization was able to provide targeted interventions and help patients avoid unnecessary hospitalization.

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AI Can Advance Health Equity

Health technology and augmented intelligence (AI) can significantly improve or worsen health equity. Recently, there has been a growing concern that AI is increasing disparity. ChristianaCare set a goal to reduce avoidable health disparities. The organization faced many challenges, including inconsistent collection, storage, and use of personal characteristics such as race, ethnicity, and language. Using its data platform and Healthcare.AI™, ChristianaCare now has a single “source of truth” for personal characteristics data. By treating health equity as a goal with the same commitment and focus as it would for other clinical, operational, or financial improvement efforts, the organization is purposefully using AI to achieve health equity.

Health Catalyst

Analytics Enables Robust COVID-19 Patient and Staff Contact Tracing

Carle Health was using all available business intelligence resources to meet COVID-19 challenges. The organization quickly realized that the functionality provided by its EMR was insufficient for COVID-19 contact tracing efforts. By utilizing its data platform and the COVID-19 Patient & Staff Tracker, Carle Health is improving the efficiency, effectiveness, and accuracy of its COVID-19 contact tracing efforts.

Health Catalyst

AI-Powered Benchmarking Transforms Data into Insight, Improving Organizational Effectiveness

Healthcare organizations have a vast amount of data available. Data need to be converted into better decisions regarding organizational focus, resource allocation, and setting and driving toward appropriate targets to optimize performance. Beyond significant data integration and transformation, optimal leadership decisions require a broad perspective and cutting-edge analytics.
Previously, INTEGRIS Health had high volumes of data but lacked the insight it wanted to drive performance. By leveraging a robust analytics platform, INTEGRIS Health now has more comprehensive and better-integrated data coupled with the cutting-edge analytics it needs to make critical leadership decisions and drive daily performance.

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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.

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 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.

Health Catalyst

Population Health Analytics Enables Improved Quality Increasing Revenue by Nearly $1M

Advanced payment models incentivize Accountable Care Organizations (ACOs) to deliver high-quality care and close gaps in care for members, thereby earning shared savings and increasing profits. However, in order to succeed and identify gaps in care, ACOs must be able to rely on solid data and analytics to avoid losing income that could be invested back into patient care. Utilizing its analytics platform and a quality measures solution has allowed Hospital Sisters Health System to close care gaps, improve ACO quality measures performance, and enhance reporting accuracy and effectiveness.

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The Analytics Emergency: Rapid Deployment of Real-Time Analytics, Enabled Incident Command

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.

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Ambulatory Analytics Optimize Practice Management

The ambulatory practice data for Community Health Network (CHNw) were located throughout various systems, leading to unproductive operations, slow reporting, and insufficient actionable information. CHNw leveraged its analytics platform to integrate the data and provide the ambulatory analytics required for effective practice management. The organization can quickly and efficiently visualize key performance indicators, including ambulatory income statements, productivity, access measures, costing, revenue cycle performance, and payer contracting data.

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Comprehensive Heart Failure Improvements Lead to Reduced Readmissions, Mortality, and Costs

Despite having an in-depth, individualized heart failure (HF) program, Billings Clinic’s 30-day readmission rate was higher than desired and negatively impacted the costs of care. The organization leveraged comprehensive data and analytics to create an analytical approach for evaluating and caring for patients with HF, successfully enhancing HF care and improving clinical outcomes.

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Denials Management Analytics Reduces Denials by Nearly $5M

On average, claim denials cost each healthcare provider $5 million every year. This loss of revenue resulting from claim denials is a concern for healthcare providers. Billings Clinic sought to determine the cause of claim denials and realized that it needed an analytics solution that could integrate data from multiple sources. The health system leveraged its data platform and analytics applications to pinpoint the sources of the denials, allowing the organization to implement prevention plans and procedures for recovering the denials. Billings Clinic achieved significant results, including:

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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.

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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

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.

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

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

Analytics Driven Improvement Efforts Reduces Surgical Supply Costs by $3.2M

Banner Health identified considerable variation in surgical supply use across its facilities. The health system desired a collaborative, data-driven strategy that would allow it to maintain high-quality outcomes while simultaneously decreasing costs across all procedures systemwide. To standardize supply use, Banner Health implemented an analytics application to help identify high-volume, high-cost surgical procedures that varied across the system. It then built standardized surgical preference cards for the high-volume procedures.

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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.

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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.

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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.

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COVID-19 Dashboard Enables Effective Incident Command

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.

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Reducing Clinic No-Show Rates Increases Revenue by $1M Annually

Memorial Hospital at Gulfport (Memorial) knew that decreasing clinic no-show rates was an opportunity to increase revenue, eliminate delays in care, and improve care coordination for its patients. With a robust data platform, Memorial leveraged its data and analytics to better understand the reasons behind its high no-show rates. With actionable data, the organization implemented measures to effectively improve its no-show rates and increase revenue.

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Evidence-Based Strategies Reduce Voluntary Turnover and Labor Costs

Caregiver satisfaction and voluntary turnover at Community Health Network (CHNw) were negatively impacted by a lack of standard processes, which resulted in rework and communication gaps regarding procedures and increased labor costs, reducing CHNw’s environmental services (EVS) team’s ability to deliver core services. In an effort to reduce voluntary turnover rates, CHNw convened an improvement team to improve processes, training, and communication related to cleaning requests, which has led to reduced voluntary turnover and labor costs.

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Decreasing Durable Medical Equipment Variation Yields Nearly $1M in Additional Revenue

Community Health Network identified that inconsistent oversight of durable medical equipment (DME), and process variation, were a likely source of waste and lost revenue. The health network sought a systemwide, data-driven process for the purchasing, dispensing, and billing of DME. A data platform and analytics applications were utilized to understand organizational performance, identify opportunities for improvement, and evaluate the impact of these changes on patient, financial, and organizational outcomes.