Pipeline + Shiny App pattern to allow for data reuse, and faster shiny app.

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Motivation

Healthcare research organizations often struggle with slow, resource-intensive web applications that must repeatedly process the same data for diverse stakeholders. Traditional approaches force applications to re-compute analyses on-demand, creating bottlenecks that delay critical insights and frustrate users seeking real-time access to complex healthcare analytics.

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Solution

Plinth's solution leverages a pipeline + web app architecture pattern that separates data processing from data presentation. We build robust data pipelines that pre-compute analyses and store results in optimized formats, while creating lightweight web applications that instantly serve these pre-processed insights. This separation enables data reuse across multiple applications, dramatically improves performance, and allows stakeholders to explore complex healthcare datasets without waiting for computations to complete.

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Impact

Our pipeline + web app pattern has enabled healthcare organizations to deliver sub-second response times for complex analyses that previously took minutes to compute. For example, we helped one organization reduce their HEOR dashboard load times from over 30 seconds to under 2 seconds while supporting analysis of over 25 healthcare variables across infinite possible cohort combinations. By enabling faster access to insights, research teams can make data-driven decisions in real-time, accelerating the pace of healthcare innovation and improving patient outcomes.

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