Epistemix partners with Gigasheet to Transform Healthcare Cost Forecasting

Gigasheet, the leader in making healthcare price transparency data accessible and usable, has partnered with Epistemix to bring real-world provider pricing intelligence directly into synthetic population modeling,enabling healthcare organizations to forecast costs with unprecedented accuracy.

Solving Healthcare's Cost Forecasting Challenge

Healthcare organizations have rich data about their populations and utilization patterns, but translating those insights into accurate cost projections has remained difficult. Without access to current, real-world provider pricing data, they've been forced to rely on rough estimates or outdated national averages.

This partnership addresses that gap by combining two complementary capabilities: Gigasheet's comprehensive pricing intelligence with Epistemix's synthetic population modeling platform, Populus.

Gigasheet: Making Price Transparency Data Work

Gigasheet tackles one of healthcare's biggest data challenges: making sense of Machine-Readable Files (MRFs). These massive transparency files,which health plans must now publish showing their negotiated rates with providers,are enormous and notoriously difficult to work with.

Gigasheet processes these complex files and transforms them into clean, usable provider network and pricing intelligence. Gigasheet normalizes price transparency data and enriches it with provider details, Medicare benchmarks, plan information, corporate entity resolution, and statistical rate intelligence.

The result is current, comprehensive negotiated rate data directly from payer disclosures, updated regularly and accessible without the compliance hurdles or restrictions that come with traditional claims data.

How Epistemix Uses Gigasheet's Data

This partnership establishes an intelligent data pipeline that automatically delivers curated datasets from Gigasheet into the Epistemix environment, enabling advanced modeling and analysis. The intuitive Gigasheet interface enables Epistemix data scientists and stakeholders to easily explore, validate, and understand key data features before integrating them into simulation models.

As Gigasheet CEO and co-founder Jason Hines puts it: "Gigasheet provides the real-world ground truth of today where Epistemix provides a predictive look into the possibilities of tomorrow. Together we can not only better forecast population trends but also forecast the economic effects."

"What-if scenario modeling is one of the most powerful advantages of Agent-Based Modeling," said Todd Cullen, Chief Product Officer at Epistemix. "By making cost and utilization data instantly usable, Gigasheet enables our patient-level simulations to produce reliable supply, demand, and pricing outlooks. For Fortune 500 executives, this means they can simulate the world under different conditions, what happens if another pandemic hits, or if tariffs on China rise again, and see exactly how those shifts could impact their business. It gives leaders the ability to make forward-looking, data-driven decisions rather than relying on intuition."

These capabilities translate into concrete advantages across different healthcare stakeholders:

For Self-Funded Employers:

• How do different payers and plans compare across the market, and what are the real-world costs likely to be based on your covered population?

• Beyond major claims covered by stop-loss insurance, what additional factors are driving costs, and how can you identify high-value providers to better contain them?

• Which health incidents are most likely to occur in the near term, and what financial impact could they have on your organization?

For Health Systems:

• Where should you proactively invest in new or existing lines of service? And given current market pricing, what kind of return on investment can you expect?

• How does your organization’s payer reimbursement compare to competitors? Where might you be underpaid relative to market benchmarks?

For Payers:

• How are you performing in the market relative to competitors?

• What areas of inefficiency exist within your network, and where do the greatest opportunities for optimization lie?

What’s Next

Join us for a live webinar where we’ll show how to turn transparency data into real population insights that drive smarter decision-making. You’ll see Gigasheet and Populus by Epistemix in action, working together to handle massive healthcare datasets and model their impact on synthetic populations. Whether you’re a data analyst, a population health leader, or a healthcare decision-maker, you’ll walk away with practical tools and immediately applicable insights. Because transparency data is only valuable when you can analyze it at scale and understand its true effect on real people.

Register here