Gigasheet now makes hospital price transparency data as easy to analyze as a spreadsheet. The latest update lets users view and parse massive hospital machine-readable files (MRFs) in JSON format on the fly. No coding, no heavy CSV exports, and no Excel crashes required. Industry leaders in MedTech, payer network development, and provider groups can finally explore multi-million row hospital pricing files on-demand, gaining actionable insights without legacy spreadsheet constraints.
Price transparency mandates in recent years have unleashed a flood of healthcare pricing data. What was once unknown is now knowable, as insurers and hospitals publish negotiated rates for thousands of procedures. The sheer volume and inconsistent formats have left many organizations overwhelmed. These machine-readable files (MRFs) are often massive and messy. A single payer’s MRF can run hundreds of gigabytes, with deeply nested JSON structures and millions of data points.
Gigasheet's cloud-based big-data platform that cleans, structures, and enriches raw transparency data for easy analysis in a spreadsheet-like UI. Now, we're expanding capabilities to hospital JSON, bringing order to the chaos and making on-the-fly analysis possible for hospital-published data as well.
Gigasheet has long supported insurer MRFs and large CSVs, flattening complex JSON into familiar rows and columns. Now, you can upload a hospital’s machine-readable JSON file into Gigasheet and immediately explore it in-browser as if it were a normal spreadsheet. Gigasheet automatically transforms the nested structure into a tabular format. No manual parsing, no scripts. This on-demand parsing works at extreme scale. Gigasheet supports up to 1 billion rows per sheet, far beyond Excel’s 1 million row limit. Multi-gigabyte hospital files? No problem. You can filter, sort, group, or pivot, and export directly in the app with no-code required.
CMS has issued "guidance indicating that hospitals must encode a standard charge dollar amount in the machine-readable file (MRF) if it can be calculated and hospitals should discontinue encoding 999999999 (nine 9s) in the estimated allowed amount data element." Effective as of May 22, 2025. These new rules aim to bring consistency across all hospital price files. As hospitals begin adopting the CMS template, Gigasheet ensures you can parse and analyze them instantly. Even today’s non-standard JSONs are handled with ease. Whether it’s a “tall” CSV, multi-layer JSON, or Excel file, Gigasheet can flatten and load it on the fly.
One major advantage of hospital MRFs? They don’t suffer from zombie rates. For the uniitiated, Zombie rates are negotiated prices that appear in payer MRFs but don’t reflect real utilization; like a ghost record of a contract with no claims behind it. They’re a major source of noise in payer data and require cleansing before analysis. Hospital MRFs are different. They reflect actual procedures performed and billed by the facility. You won’t find rates for procedures a hospital doesn’t offer. The data is far from perfect, and there are frequently duplicates - especially across like billing codes of different flavors. Regadless, Gigasheet makes working with hospitals MRFs more self-service than any solution on the market.
Gigasheet helps hospitals meet compliance regulations with self-service analytics. In addition, systems to easily benchmark their rates against other systems in their market, or in any region.
Medical device manufacturers use hospital data to benchmark reimbursement for procedures tied to your offierings. Need to understand what hospitals are paid for knee replacements or cardiac procedures? You can pull those rates across hospitals and back your market access strategy with real price data.
Plan issuers can compare negotiated hospital rates across competing insurers to find gaps or opportunities. Want to know how your rates compare at a key facility? Gigasheet helps you identify rate discrepancies and negotiate smarter.
In addition to on-demand self-service analytics for price transparency, Gigasheet’s Price Transparency Data Catalog includes:
You can search by hospital, location, or procedure code — then load and explore the data instantly.
Of course, if you prefer to upload your own file, the platform handles files typical spreadsheets and desktop tools can’t touch.
You no longer need to write code, build pipelines, or wrestle with bloated CSVs or convuluted JSON. Gigasheet transforms hospital JSON files into spreadsheet-like insight instantly. Whether you’re pricing a new device, preparing for contract negotiations, or benchmarking provider networks, Gigasheet helps you turn price transparency data into a strategic edge.