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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

Achieving Self-Service Analytics with Rapid Response Analytics

Billings Clinic had its data located within multiple different source systems, which limited access to the data and decreased trust in the data. The available tools were difficult for non-analysts to use and understand, creating resistance to self-service analytics. To breakdown data silos, ensure a gold standard for metrics, and optimize its analytics use, Billings Clinic deployed a data platform and analytics application across its organization.

Featured Outcomes

  • One source of truth for its data and elimination of data silos.
  • Analysts are now able to spend most of their time analyzing, rather than preparing data.
  • 95 percent relative increase in the number of users accessing the analytics application.

Certified Analytics Platform Enables Electronic Quality Measures Reporting

Organizations that participate in various Centers for Medicare and Medicaid Services sponsored programs must use a certified health IT product to electronically submit performance data. Acuitas Health partnered with Health Catalyst to develop a solution that would enable the organization to meet the electronic clinical quality measures (eCQMs) reporting requirements.

Featured Outcomes

  • 2,080 hours saved annually in some practices.
  • Eliminated the need to maintain two different quality reporting systems.

Integrated Analytics Shows True Cost of Patient Care

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.

Featured Outcomes

  • Substantially improved the time to value—the opportunity identification processes, which would have taken three to six months before, are now completed within an hour.
  • $45K in annual cost avoidance. The organization was able to archive the legacy platform used for performing financial analysis, avoiding continued maintenance fees.

Accurate Provider Metrics Leads to Improved Processes and Time Savings for Analysts

Dartmouth-Hitchcock Health (D-HH) was committed to improving its provider performance reporting method so that providers could easily access their performance data and deliver better care to patients. With the right analytics, D-HH was able to implement an affordable solution and reduce the manual reporting required by its financial analysts.

Featured Outcomes

  • The organization has saved $1M in ongoing maintenance costs for a third-party solution and 320 of analyst hours annually.
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