MTEC #MTEC-26-04-MICC

Market Research for AI-Driven Injury Cause Coding Solutions for Military EHRs

The Defense Health Agency (DHA), part of the Department of War, is conducting market research through the Medical Technology Enterprise Consortium (MTEC) for advanced solutions to improve injury cause coding in military electronic health records (EHRs). - The government seeks information on: - AI, Machine Learning (ML), and Natural Language Processing (NLP) solutions that analyze free-text clinical documentation - Real-time recommendation of ICD-10-CM external cause of injury codes - Compatibility with Military Health System (MHS) EHRs, including MHS GENESIS and other purchased care/deployment EHR platforms - Technical interoperability, cybersecurity, and seamless integration with existing clinical workflows - Solution maturity, operational deployments, technical architecture, performance outcomes, and estimated costs - No specific OEMs or vendors are named; the request is open to all capable providers - The effort is focused on scalable, enterprise-ready solutions that reduce administrative burden and improve data quality - Responses will inform future acquisition strategies, not result in immediate contract awards

Description

The Medical Technology Enterprise Consortium (MTEC) issued a Request for Project Information (RPI) to survey the current state of AI-driven processes aimed at improving electronic health record (EHR) injury cause coding. The goal is to reduce the administrative burden on clinicians while enhancing the completeness, specificity, and timeliness of injury cause coding data. The government seeks innovative AI, ML, and NLP solutions that can analyze free-text clinical documentation and recommend appropriate ICD-10-CM external cause of injury codes in real time. Proposed solutions must integrate with Military Health System (MHS) EHR environments and support injury surveillance and readiness reporting.

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