A Standards-Compliant API Framework for Integrating NAMASTE and ICD-11 TM2 Terminologies into Indian Electronic Medical Records (EMRs)

Year : 2026 | Volume : 15 | Issue : 02 | Page : 19 27
By

Vijeta Kumawat,

Rakshit Gang,

Daksh Mehta,

Pushkar Verma,

  1. Professor, Department of CSE, Jaipur Engineering College and Research Centre (JECRC Foundation), Sitapura, Jaipur, Rajasthan, India
  2. Student, Department of CSE, Jaipur Engineering College and Research Centre (JECRC Foundation), Sitapura, Jaipur, Rajasthan, India
  3. Student, Department of CSE, Jaipur Engineering College and Research Centre (JECRC Foundation), Sitapura, Jaipur, Rajasthan, India
  4. Student, Department of CSE, Jaipur Engineering College and Research Centre (JECRC Foundation), Sitapura, Jaipur, Rajasthan, India

Abstract

The lack of standardized, interoperable terminology services has hindered the integration of India’s traditional medical systems into the mainstream digital health infrastructure. Although ICD-11 Traditional Medicine Module 2 (TM2) offers an internationally harmonized classification for traditional medicine diagnoses and the NAMASTE portal defines structured vocabularies for AYUSH conditions, current Electronic Medical Record (EMR) platforms in India are unable to natively consume, map, or translate these terminologies in a way that complies with standards. This study suggests an API framework that is FHIR-enabled and designed to enable programmatic integration of NAMASTE and ICD-11 TM2 terminologies into EMRs compliant with the EHR Standards for India to close this interoperability gap. Because the official NAMASTE dataset was not readily available, a synthetic CodeSystem was developed to test interoperability workflows and model terminology structures. The proposed system includes a RESTful terminology service, an FHIR adapter that can produce clinically valid Codeable Concept, Concept Map, and Condition resources, and a hybrid rule-based and embedding-assisted mapping engine. Experimental evaluations on carefully selected synthetic datasets show strong FHIR conformance, low latency translation performance, and high mapping precision, demonstrating the feasibility of integrating traditional medical terminologies into modern EMR environments. By providing a scalable, vendor-agnostic, and standards-compliant integration blueprint, this work advances the broader goals of the Ayushman Bharat Digital Mission and lays the foundation for the nationwide interoperability of AYUSH health records.

Keywords: EHR standards, electronic medical records (EMR), health interoperability, traditional medicine informatics, terminology mapping, Restful API, NAMASTE terminology, ICD-11 TM2, FHIR R4

[This article belongs to Research and Reviews : A Journal of Medical Science and Technology ]

How to cite this article: Vijeta Kumawat, Rakshit Gang, Daksh Mehta, Pushkar Verma. A Standards-Compliant API Framework for Integrating NAMASTE and ICD-11 TM2 Terminologies into Indian Electronic Medical Records (EMRs). Research and Reviews : A Journal of Medical Science and Technology. 2026; 15(02):19-27.
How to cite this URL: Vijeta Kumawat, Rakshit Gang, Daksh Mehta, Pushkar Verma. A Standards-Compliant API Framework for Integrating NAMASTE and ICD-11 TM2 Terminologies into Indian Electronic Medical Records (EMRs). Research and Reviews : A Journal of Medical Science and Technology. 2026; 15(02):19-27. Available from: https://journals.stmjournals.com/rrjomst/article=2026/view=253510

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Regular Issue Subscription Review Article
Volume 15
Issue 02
Received 03/07/2026
Accepted 07/07/2026
Published 27/08/2026
Publication Time 55 Days


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