I’m building an all-in-one, AI-powered hospital management system that streamlines every major workflow from the front desk to the back office. The core of the project is a single application that brings patient records, appointment scheduling, and related day-to-day tasks under one roof, with smart automation throughout. Patient Record Module • Electronic health records that are easy to create, search, and update • Patient history tracking so clinicians can see longitudinal data at a glance • Seamless lab-results integration, pulling diagnostics directly into each chart without manual uploads Scheduling Module • Automated reminders (SMS, email, or push) that cut no-shows • Real-time doctor-availability management, preventing double-booking while letting physicians adjust slots on the fly • A secure online booking portal patients can access from any device AI will sit on top of these modules to suggest appointment slots, flag potential record errors, and surface clinical insights from the historical data you capture. I’ll supply the clinical ontologies, HIPAA guidelines, and user-flow diagrams; I need you to turn them into a working, tested application with a clean UI, scalable backend, and clear API endpoints so we can integrate inventory or billing later. Deliverables 1. Source code (frontend, backend, and AI layer) with installation instructions 2. Database schema and migration scripts 3. Tested REST or GraphQL API documentation 4. A brief technical manual explaining model choices, training data needs, and how to expand the platform If you’ve built healthcare, EMR, or appointment platforms before and are comfortable embedding machine-learning components, I’m ready to review your approach and timeline.