Bridging the Gap: A Synthetic X12 837i Claims Generator and Parser for Health Information and Informatics Education.
Background: Health information management education faces challenges in teaching claims data. Regulations prohibit the use of real, non-deidentified patient claims data within classroom settings. This limits hands-on experience with real-world data formats such as X12 837 institutional (837i) transa...
| Publicado en: | Advances in Health Information Science & Practice Vol. 2; no. 1; pp. 1 - 7 |
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| Autor principal: | |
| Formato: | pictorial research tables/charts Journal Article |
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American Health Information Management Association
2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=196503502&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 196503502 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 30665825 NZ7H jtl: Advances in Health Information Science & Practice issn: 30665825 maglogo: N pubinfo: dt: 2026 vid: 2 iid: 1 pid: 6825 pub: American Health Information Management Association place: Chicago, Illinois artinfo: ui: 196503502 196503502 196503502 10.63116/ahisp-25-003 196503502 ppf: 1 ppct: 6 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Bridging the Gap: A Synthetic X12 837i Claims Generator and Parser for Health Information and Informatics Education. aug: au: Williams, Hants affil: Stony Brook University sug: subj: Billing and Claims Education, Health Information Management Software Software Design Access to Information Professional Knowledge Financial Management Methods Workforce Privacy and Confidentiality United States Centers for Medicare and Medicaid Services Current Procedural Terminology Coding Insurance, Health ab: Background: Health information management education faces challenges in teaching claims data. Regulations prohibit the use of real, non-deidentified patient claims data within classroom settings. This limits hands-on experience with real-world data formats such as X12 837 institutional (837i) transaction files. Most existing approaches rely on textbook examples or static datasets that have been heavily redacted, which may lack the complexity required to prepare students for roles involving the handling of claims-related data. In this report, the authors describe the design and deployment of an open-source synthetic claims generator and parser designed to democratize access to realistic health care claims data, bridging the gap between theoretical knowledge and practical skills. Methods: A Python-based system was developed that generates realistic X12 formatted 837i claims using real Centers for Medicare & Medicaid Services (CMS) provider and payer databases. The tool features a free browser-based interface, plus local deployment via a command-line interface (CLI) or application programming interface (API) for advanced educational contexts. Finally, a modular two-lecture curriculum framework for integration into existing health information management courses is provided. Results: The browser-based application enables instant access without installation, eliminating technical and privacy barriers. The tool supports generating 1-25 claims per session via the web interface, with the ability to perform batch generation of thousands of claims via CLI/API for analytics projects locally on a user's own machine. All generated files were validated against X12 5010 837i specifications using two independent electronic data interchange validation platforms, confirming zero structural errors and full conformance to industry standards. The framework aligns with American Health Information Management Association core competencies, offering a reproducible and scalable method to support workforce readiness for revenue cycle analyst, medical coding, and health care data analyst roles. Conclusions: By eliminating privacy concerns, financial barriers, and installation complexity, this method offers a scalable, reproducible model for teaching critical electronic data interchange and revenue cycle competencies related to the handling of claims data files. The open-source nature and multiple deployment options of this tool enable adoption across diverse institutional contexts, from community colleges to research universities, and from technical coding to nontechnical users. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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