AI-Powered Smart Hospital Appointment Scheduling and Management System

CareFlow AI demonstrates how artificial intelligence and modern software architecture can be combined to improve hospital appointment scheduling and operational management. The system unifies patient, doctor, staff, and administrative workflows while adding AI-assisted scheduling and doctor matching. Its microservices-oriented design separates transactional hospital operations from AI processing, making the system easier to maintain and evolve. The implementation combines Next.js, React, TypeScript, Java 21, Spring Boot, Spring Security, PostgreSQL, Redis, Python FastAPI, Prometheus, Grafana, and container-oriented deployment. The architecture emphasizes security, concurrency control, observability, and modularity. Testing results show strong coverage of the implemented functionality, with a 98.40% overall regression pass rate and no critical or high-severity findings in the latest audit. Although the current system provides a strong prototype foundation, healthcare production deployment would require additional clinical validation, operational policies, compliance assessment, integration with established hospital information systems, and more extensive real-world testing. The present implementation therefore serves as a scalable technical foundation rather than a replacement for clinical decision-making.

[1]     Spring Boot Documentation, “Spring Boot Reference Documentation,” VMware/VMware Tanzu. Available: https://docs.spring.io/spring-boot/ [2]        Spring Security Documentation, “Spring Security Reference,”    Spring.    Available: https://docs.spring.io/spring-security/reference/ [3]        Next.js  Documentation,  “Next.js  Documentation,” Vercel. Available: https://nextjs.org/docs [4]      FastAPI Documentation, “FastAPI – Modern Web Framework for Building APIs with Python,” Available: https://fastapi.tiangolo.com/ [5]    PostgreSQL Global Development Group, “PostgreSQL Documentation,”    Available: https://www.postgresql.org/docs/ [6]           Redis  Documentation,  “Redis  Documentation,” Available: https://redis.io/docs/ [7]                    Kubernetes          Documentation,          “Kubernetes Documentation,” Cloud Native Computing Foundation. Available: https://kubernetes.io/docs/ [8]      Prometheus Authors, “Prometheus Documentation,” Available: https://prometheus.io/docs/ [9]     Grafana Labs, “Grafana Documentation,” Available: https://grafana.com/docs/grafana/latest/ [10]    M. Jones, J. Bradley, and N. Sakimura, “JSON Web Token (JWT),” RFC 7519, Internet Engineering Task Force, 2015. Available: https://www.rfc-editor.org/rfc/rfc7519