INTEGRATION OF MEDICAL CODING SYSTEMS WITH ELECTRONIC HEALTH RECORDS
Keywords:
Electronic Health Records (EHR), Medical Coding, ICD, SNOMED CT, HL7, Semantic Interoperability, Clinical Ontologies, Health Informatics, Data Standardization, AI In HealthcareAbstract
The integration of medical coding systems with Electronic Health Records (EHRs) is a cornerstone for enhancing healthcare interoperability, clinical decision-making, and administrative efficiency. This research delves into the frameworks, methodologies, and impacts of harmonizing structured medical terminologies (e.g., ICD, SNOMED CT) with EHR systems. Emphasis is placed on the evolution of coding ontologies, the technical challenges of semantic interoperability, and the role of artificial intelligence in automating code assignment. Literature from reveals that such integrations not only improve data quality and billing accuracy but also empower large-scale analytics and personalized medicine. However, issues such as system fragmentation, mapping inconsistencies, and user resistance persist. A blend of ontology-driven frameworks, machine learning tools, and blockchain-based data traceability emerges as the future direction for robust EHR-coding interoperability.
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Copyright (c) 2024 Venkata Sambasivarao Kopparapu (Author)
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