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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.

Featured Outcomes

  • Actionable data to the masses. More than 150 users routinely use Population Builder.
  • In just 15 minutes, established a COVID-19 disease registry.
  • More than 100 population registries built, improving the ability to make data-driven decisions.

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.

Featured Outcomes

  • Integrated analytics, enabling the organization to develop a long-term surgical financial recovery plan.
  • Hundreds of hours of manual data aggregation and evaluation avoided.
  • Efficient prioritization of the elective surgery backlog.

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.

Featured Outcomes

  • In just two weeks, deployed a COVID-19 elective surgery impact analysis application.
  • Data-driven recovery plan with integrated clinical, financial, and operational data and analytics.
  • Hundreds of hours of manual data aggregation and reporting avoided.

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.

Featured Outcomes

  • Seven days to develop a COVID-19 dashboard that integrates more than 60 critical metrics.
  • Hundreds of hours of burdensome manual data aggregation and reporting avoided, improving the quality and timeliness of the organization to plan and respond to COVID-19.
  • An integrated view of data for a health system composed of more than five hospitals and hundreds of clinics spread across more than 45 different locations, enabling effective incident management.

Closed-Loop Analytics Supports Data-Driven Medical Management

Acuitas Health improved access to data for its partner clinicians by using its data platform and closed-loop analytics to integrate data from more than ten disparate systems. Clinicians receive patient-specific details before the patient visit, allowing them to identify opportunities for health maintenance, improve quality, support data-driven medical decision making, increase adoption of best practices, and improve hierarchical condition category (HCC) coding.

Featured Outcomes

  • In just five months, there have been more than 24,000 patients that have received pre-visit planning using the solution with 200 patient-level data points updated daily (new information for patients with a scheduled appointment).
  • Nearly a 70 percent reduction in the time required by the staff to complete pre-visit planning in the first week
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