I need an AI-enabled CRM that streamlines patient management inside our hospital network. The platform must: • Maintain comprehensive patient records, automatically pulling and updating data from our existing EMR/LIS/RIS databases. • Generate and track individualized treatment plans, with AI-driven suggestions based on diagnosis codes and clinical guidelines. • Issue automated follow-up reminders to both staff and patients through email, SMS, and in-app notifications. Full integration is essential. The CRM has to connect to every current system we run—scheduling, billing, laboratory, pharmacy, and imaging—via their available APIs or HL7/FHIR feeds so that staff never re-enter data. I expect a functional, test-ready prototype that includes: – A clean web dashboard for doctors, nurses, and front-desk staff. – Role-based access control and audit logging for HIPAA-grade security. – Machine-learning models or rule engines that can adapt as more data flows in. – Installation instructions plus basic user documentation. If you have experience with healthcare data standards, Python/Node back-ends, and React/Angular front-ends—or an alternative stack you can justify—let me know how you’ll approach the integrations and AI layer. I’ll provide sandbox API keys and anonymized sample patient data once we start so you can demonstrate end-to-end data flow.