AI-Driven Electronic Health Records System for Enhancing Patient Data Management and Diagnostic Support in Egypt
Journal:
arXiv
Published Date:
Feb 8, 2025
Abstract
Digital healthcare infrastructure is crucial for global medical service
delivery. Egypt faces EHR adoption barriers: only 314 hospitals had such
systems as of Oct 2024. This limits data management and decision-making. This
project introduces an EHR system for Egypt's Universal Health Insurance and
healthcare ecosystem. It simplifies data management by centralizing medical
histories with a scalable micro-services architecture and polyglot persistence
for real-time access and provider communication. Clinical workflows are
enhanced via patient examination and history tracking. The system uses the
Llama3-OpenBioLLM-70B model to generate summaries of medical histories, provide
chatbot features, and generate AI-based medical reports, enabling efficient
searches during consultations. A Vision Transformer (ViT) aids in pneumonia
classification. Evaluations show the AI excels in capturing details (high
recall) but needs improvement in concise narratives. With optimization
(retrieval-augmented generation, local data fine-tuning, interoperability
protocols), this AI-driven EHR could enhance diagnostic support,
decision-making, and healthcare delivery in Egypt.
