Samaritan Health Plans: Distributing Actionable Insights Across a Network

About the Customer

Samaritan Health Plans is a health plan in Oregon that manages quality performance reporting across a network of approximately 11,000 providers.

Problem

Manual distribution of quality performance scorecards

Outcome

75% reduction in time producing monthly scorecards

Samaritan Health Plans was manually generating monthly quality performance scorecards for its network of ~11,000 providers, requiring significant analyst time and effort. The existing process consumed ~120 analyst hours each month and relied heavily on custom-built tools and manual data handling. Leadership recognized that continuing with this process would necessitate a 2,000-hour internal IT project to automate the workflow using legacy systems.

Samaritan Health Plans

Samaritan Health Plans • Willamette Valley, OR

11,000

providers in network

3

lines of business (Medicare Advantage, Medicaid, Employer)

9

years named among Oregon’s healthiest employers

Distributing performance insights at scale

Samaritan engaged Arcadia to assess opportunities to streamline and automate scorecard production. Through this engagement, Arcadia’s team identified that 90% of the necessary data for quality measures was already available within the Arcadia platform. Arcadia collaborated with Samaritan to enable direct extraction of the available data and develop a roadmap to onboard the remaining 10% via a supplemental feed. The ultimate goal: consolidate all scorecard data into Arcadia to support fully automated, scalable reporting to the provider network.

These efforts resulted in a 75% reduction in analysis, freeing the team to focus on other high-value initiatives.

These outcomes translated to immediate time savings and long-term cost avoidance, while strengthening Samaritan’s ability to manage and communicate performance data across its network.

Lessons Learned

Before automating, confirm how much of the data you already have. For Samaritan Health Plans, 90% of the needed quality-measure data already existed in the platform — the fix wasn’t new data, it was consolidation.
Avoided cost is as real as recovered time. The 2,000-hour internal IT project that never had to happen is as much a return on the engagement as the 90 monthly hours saved.
Centralizing data improves reliability, not just speed. Consolidating 100% of required measure data into one platform strengthened consistency across scorecards, a benefit distinct from the time savings.
Solving today’s manual process can build tomorrow’s infrastructure. The engagement was scoped as scorecard automation but delivered a scalable foundation for future quality reporting and performance improvement initiatives.
Freed analyst time is a redeployable asset. The time savings are explicitly framed as freeing the team for other high-value work, not just a cost reduction.