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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM60248
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
â A comprehensive full-stack healthcare management system built on FastAPI (Python) and Next.js 14 (TypeScript), backed by MongoDB, supporting four stakeholder roles patients, doctors, pharmacists, and administrators through 50+ RESTful API endpoints and a real-time WebSocket interface. Security is enforced via JWT-based RBAC, with HIPAA-aligned compliance maintained through a custom SHA-256 blockchain audit trail. The AI subsystem integrates LLMs (Google Gemini with fallback to Perplexity/OpenAI) for a multilingual health assistant, LLM-driven prescription validation (drug interactions, contraindications, dosage anomalies), and predictive risk analysis for diabetes, hypertension, and cardiovascular disease using scikit-learn Random Forest classifiers trained on an 18-factor patient profile. The pharmacy module manages the full prescription lifecycle including pharmacistâdoctor escalation, dispensing, and GST- inclusive invoicing, complemented by appointment scheduling with automatic waitlisting. The system is containerized via Docker Compose (MongoDB, FastAPI, Next.js, Redis), delivering a scalable clinical solution that reduces administrative overhead while improving diagnostic accuracy and medication safety.
KEYWORDS
Publication Date
4/16/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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