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.
Time to Value
To gain more efficient access to data that could reduce unwarranted variation and reduce costs, Dartmouth-Hitchcock Health (D-HH) leveraged a data platform to automate analysis of its financial data. D-HH has substantially improved its ability to use clinical, operational, and financial data to perform opportunity analysis, decrease unwarranted variation, and decrease costs.
Learn how The Queen’s Health Systems (QHS) and The Queen’s Clinically Integrated Physician Network (QCIPN) adopted a Rapid Response Analytics Solution, enabling the accelerated implementation of custom algorithms to better identify patients.
The need for seamless reporting, advanced visualizations, and end-user self-service models is critical to inform decision making. Learn how Orlando Health leveraged its analytics platform and applications to provide users with a data model that could enable a single source of truth for data-driven decision making.
Changing payment models are putting pressure on clinicians to have instant access to actionable information about their patients, their performance, and their potential to close gaps in care. Read how Orlando Health recognized the value of immediate access to adaptive, integrated data, giving users access to rapidly deployed data in consumable, actionable visualizations.
Data-driven decisions and analytics are critical for organizations and physician practices transitioning to value-based care, although many organizations struggle with measuring the effectiveness of these population health initiatives.
To obtain sophisticated, actionable analytics and automate processes, Acuitas Health deployed the Health Catalyst® Patient Intake and Care Coordination applications concurrent with beginning the implementation of the Health Catalyst Data Operating System (DOS™) platform. Acuitas meets the needs of its customers through a sprint to value—going faster than the typical time to value. The concurrent implementation approach used in this roll out set the pace for that sprint to value. In less than 60 days, the organization successfully implemented these tools and began receiving value. Acuitas is now able to:
Collect discrete data, and begin enhancing the work of the integrated care management team in a user-friendly way.
Identify individual caseloads.
Instantly obtain a complete, comparative, real-time picture of caseloads across the team—this reporting took weeks to compile in the past.
Make data-driven decisions on how to improve outcomes.
Effective data integration enables high value through more strategic, data-driven decision-making, while faster data acquisition feeds and speeds up the process. Orlando Health, one of Florida’s most comprehensive private, not-for-profit healthcare networks, recognized the need for effective data integration to successfully manage to the organization’s changing business needs. The health system needed the ability to rapidly acquire and link disparate healthcare data sources in various ways in order to answer clinical and business questions.
Leaders at Orlando Health needed a data warehouse that better met their needs. They determined that switching from an early binding data process to a late-binding process would provide greater flexibility and expand their access to critical data, with shorter data acquisition times.
With the new EDW, Orlando Health achieved the following efficiencies:
245 fewer days and 1.0 less full time employee (FTE) needed to integrate encounter billing summary system data.
56 fewer days and 0.4 less FTE needed to integrate Infection control system data.
99 percent reduction (90 days saved) in the amount of time needed to implement system enhancements.
98 percent reduction in the work hours needed to incorporate system enhancements.
When healthcare information systems don’t talk to each other, countless inefficiencies and patient safety issues may arise.
Community Health Network (CHNw) believes in delivering outstanding care to every patient. In order to minimize patient safety risks and inefficiencies resulting from using different EHRs, CHNw embarked on a journey to integrate its healthcare information technologies. After implementing a Late-Binding™ Data Warehouse from Health Catalyst that integrates all key data sources, CHNw now has a consistent and comprehensive perspective for multiple patient encounters across the enterprise. It has achieved the following results:
Data from multiple EHR vendors, including four inpatient EHRs and two ambulatory EHRs, plus five transactional systems—HR, patient experience, patient safety, finance, and supply chain— were integrated within 12 months.
More than 55,000 data elements and over 18 billion rows of data were incorporated.
Patient-to-patient matching was implemented for over one million patients across the four inpatient EHRs. This is vital for managing patient populations.
Operational efficiency was improved by 70 percent, with data architects spending an estimated 15 percent of time supporting interfaces compared to an estimated 40-50 percent before the integration. In one example, CHNw linked its ERP/costing system to the EDW’s EHR source marts with just a single interface; previously, this would have required building separate interfaces for all six EHRs.
Integrating EHR data into a healthcare enterprise data warehouse (EDW) can take years, depending on the EDW platform and data model. Crystal Run — a physician-owned medical group in New York with more than 300 physicians in 40 medical specialties — couldn’t wait that long. They need a solution that could integrate their EHR data in a matter of months, not years. Using a late-binding model, Crystal Run was able to integrate their EHR data in just 77 days, with easy-to-use tools for data acquisition and storage and metadata management.
North Memorial Health Care is a 518-bed health system providing healthcare services in the Northwest metro area of Minneapolis-St. Paul, Minnesota, and beyond. The system comprises North Memorial Medical Center, a Level I Trauma Center; Maple Grove Hospital, a community-based hospital; and a network of primary, urgent care and specialty care clinics. North Memorial also operates one of the nation’s largest hospital-based air and ground ambulance services.
According to the Centers for Disease Control and Prevention (CDC), urinary tract infections (UTIs) are the most common type of healthcare-associated infection, causing 450,000 annual infections leading to 13,000 deaths, increasing lengths of stay by as many as four days, and increasing healthcare costs by as much as $500 million per year nationally. Seventy-five percent of UTIs are Catheter-Associated Urinary Tract Infections (CAUTIs), and 15-25 percent of hospitalized patients receive urinary catheters during their hospital stay.
To satisfy new proposed Centers for Medicare and Medicaid Services (CMS) reporting requirements, North Memorial Health Care needed to expand its CAUTI monitoring – a time- and labor-intensive process for even one unit – to track patients in all their units across multiple facilities. Their solution: leverage existing Late-Binding™ Enterprise Data Warehouse (EDW) and Patient Injury Advanced Application- CAUTI Module solutions from Health Catalyst.