Clinical Analytics Success Stories in Healthcare

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Analytics Enables Identification of Opportunities to Improve Value and Accountable Care Organization Performance

Carle Health and Health Alliance attempted to use its data to identify sources of cost and utilization variation, but burdensome manual data collection and reporting processes made it incredibly difficult to identify opportunities for improvement. Obtaining the necessary data was an iterative process that required business intelligence teams and operational leaders to meet multiple times over many weeks. It was not uncommon for it to take two to four months to obtain the data necessary to establish direction for improvement work. Using the Health Catalyst^® Data Operating System (DOS™) platform and the Health Catalyst^® Value Optimizer™ analytics application, Carle now has the integrated data and analytics required to understand and improve its risk-based contract performance and identify actionable opportunities for improvement.

Featured Outcomes

$100K in manual labor costs avoided, the result of eliminating multiple iterations and meetings to obtain the necessary data and analyses.
>$10M in cost and utilization opportunity identified.
>90 percent improvement in analytics efficiency. Analyses that previously required months to complete are now completed in minutes.

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Charge Integrity Analytics Improves Revenue Recognition, Retaining More Than $6M

MultiCare Health System (MultiCare) recognized it had an opportunity to improve its charge capture processes and reduce losses. The organization sought a solution that was scalable, reduced errors, and increased profitability. MultiCare leveraged its analytics platform and a charge integrity analytics solution to enhance its ability to efficiently manage its charge capture processes, providing access to timely and actionable insights and enabling efficient root cause resolution.

Featured Outcomes

$6.1M in net revenue retained, a result of the timely resolution of more than 350 charge capture issues identified by daily audits in the analytics solution.

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Innovative Care Management Program Avoids Nearly $16M in Costs and Transforms Lives of Super-Utilizers

The Queen’s Medical Center (QMC) was the site of nearly 60 percent of all emergency department (ED) visits by people who are homeless—and some visited the ED every day. A disparate number of resources went towards treating these patients, and they would have received better care for their needs outside the ED. To improve patient outcomes and reduce costs, The Queen’s Health Systems developed a program to improve outcomes for this unique patient population, leveraging its analytics platform, payer data, and patient flow data to evaluate the system’s success and efficiency.

Featured Outcomes

Avoided nearly $16M in costs.
68.5 percent reduction in the number of days patients spent hospitalized.
22.8 percent reduction in length of stay.
43.8 percent reduction in readmission rate.

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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 to provide COVID-19 risk prediction, the organization was able to provide targeted interventions and help patients avoid unnecessary hospitalization.

Featured Outcomes

$1.8M in cost savings, achieved by avoiding 61 hospital admissions and seven intensive care unit admissions.

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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.

Featured Outcomes

By leveraging its analytics platform and AI, ChristianaCare now has a systematic approach to evaluate health equity as a core part of its commitment to quality.
The organization has driven key insight using this approach, including overcoming disparities in COVID-19 testing and increasing access to care through innovative clinics that combine virtual primary care and COVID-19 testing in some of Wilmington’s underserved communities.

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