
Gigasheet partners with Epistemix to integrate comprehensive market intelligence into population health models
Healthcare cost forecasting has long required piecing together multiple data sources and traditional statistical models. Organizations typically combine de-identified claims data, national averages, industry benchmarks, and internal estimates to build their models. Each source provides value, but each also comes with significant limitations.
We've partnered with Epistemix to integrate comprehensive, current price transparency intelligence directly into their advanced population simulation models. This addition transforms forecasting capabilities by grounding agent-based models in actual published negotiated rates, delivering the market precision that claims data, benchmarks, and estimates cannot provide on their own.
Today's forecasting approaches draw on several data sources, each with distinct tradeoffs. De-identified claims data arrives months late, provides only aggregated views, and comes with compliance restrictions. National averages and industry benchmarks offer broad directional guidance but lack the granularity and currency needed for precise planning. Internal estimates fill gaps but rely heavily on assumptions.
These sources are all useful. The challenge is that none of them provide current, comprehensive, unrestricted visibility into actual negotiated rates across the market.
This partnership introduces that missing element by leveraging price transparency data paired with Epistemix's Populus synthetic population modeling platform. We're adding detailed, regularly updated provider rate intelligence to the forecasting toolkit, enabling organizations to ground their models in actual market conditions.
Gigasheet has built its platform to solve a specific problem: making price transparency data practical for enterprise use.
We ingest Machine-Readable Files (MRFs) published by payers, massive datasets containing negotiated rates across thousands of providers and procedures. While this data is public and unrestricted, it presents significant technical challenges. The files are enormous, noisy, and complex, making them effectively unusable in their raw form.
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Our platform processes these files at scale, normalizing disparate formats and enriching the data with provider details, Medicare benchmarks, plan metadata, and statistical rate intelligence. The result is structured, validated pricing data that reflects current market conditions. While not real-time, the data is fresh and continuously updated as payers publish new files, providing market visibility that complements traditional forecasting inputs.
Through this partnership, Gigasheet delivers curated pricing datasets directly into the Epistemix environment via an automated data pipeline. Epistemix data scientists can efficiently explore, validate, and integrate our rate intelligence into their agent-based simulation models.
"Gigasheet provides comprehensive market intelligence grounded in today's actual rates, while Epistemix delivers predictive views of tomorrow's scenarios," said Jason Hines, CEO and co-founder of Gigasheet. "Together, we enable organizations to forecast not only population health trends but their specific economic implications with a level of precision that wasn't previously accessible."
Todd Cullen, Chief Product Officer at Epistemix, explained the impact: "By making comprehensive cost and utilization data immediately accessible, Gigasheet enables our patient-level simulations to produce reliable supply, demand, and pricing forecasts. Executives can model complex 'what-if' scenarios, such as pandemic response planning or market disruptions, and quantify their business impact with unprecedented precision."
Organizations can compare actual negotiated rates across payers and plans based on their specific covered populations. Rather than relying solely on industry benchmarks or aggregated claims data, employers can identify cost drivers with precision, evaluate provider value based on real rates, and model the financial impact of anticipated health events within their workforce.
Leadership can make informed investment decisions grounded in actual market pricing. Whether evaluating new service lines or expanding existing offerings, organizations can benchmark their reimbursement levels against regional competitors and identify areas where rates fall below market standards.
Plans can assess network performance using comprehensive competitor rate data. This enables identification of structural inefficiencies, evaluation of network adequacy, and prioritization of strategic optimization initiatives based on actual market dynamics rather than estimates.
Medical device and life science companies can assess market access opportunities based on actual reimbursement landscapes. By modeling how current pricing structures influence utilization patterns, organizations can refine go-to-market strategies, identify high-value market segments, and forecast adoption trajectories for new products or services grounded in real-world rate dynamics rather than theoretical assumptions.
This partnership transforms healthcare forecasting by integrating current, comprehensive, and unrestricted market pricing data directly into predictive models. By connecting population health trends to actual negotiated rates, healthcare leaders gain strategic precision that complements their existing data sources and eliminates reliance on approximation.
Organizations no longer need to bridge pricing gaps with estimates or depend solely on dated benchmarks. Price transparency data, properly processed, synthesized, and integrated, delivers the market visibility necessary to ground forecasts in actual conditions rather than assumptions.
To learn more about how Gigasheet and Epistemix can enhance your organization's forecasting capabilities, contact us.