From Documents to Data: Integrated Generation and Management of EHRs in a Web-Based Medical Platform with AI Support

Abstract

This paper presents an integrated medical platform that streamlines healthcare workflows by eliminating reliance on traditional document-based methods for handling patient records. Building on previous work on structuring unstructured medical data, the proposed extension now enables direct generation, editing, and storage of Electronic Health Records (EHRs) within a secure web interface. The platform supports dynamic form creation, customizable templates, rolebased access, and cloud-based synchronization. To enhance usability, an intelligent assistant is integrated using a retrievalaugmented generation (RAG) pipeline. A locally trained NLP module handles intent classification and slot extraction, retrieving structured data from the medical database. Outputs are refined using OpenAI to deliver coherent, context-aware responses. The platform demonstrates improved efficiency, data consistency, and user interaction, aligning with digital health goals and EMRAM Stage 6+ criteria.

Ähnliche Arbeiten