International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | AI-Assisted Integrated Healthcare Management System |
|---|---|
| ABSTRACT | The rapid growth of digital technologies has transformed healthcare services by improving accessibility, efficiency, and patient engagement. However, many existing healthcare applications operate as isolated systems, offering limited integration between essential services such as doctor consultations, pharmacy management, blood bank services, and intelligent health assistance. This fragmentation reduces system efficiency and creates inconvenience for users. This paper proposes an AI-assisted integrated healthcare management system that combines multiple healthcare services into a unified digital platform. The system integrates doctor appointment scheduling, pharmacy services, blood bank management, and an AI-powered health chatbot within a single web-based application. Modern full-stack technologies and artificial intelligence are used to ensure scalability, security, and intelligent decision support. The proposed system aims to improve healthcare accessibility, reduce operational complexity, and enhance user experience through intelligent automation and seamless service integration. |
| AUTHOR | DR. H S SARSWATHI, E ANUSHA, KEERTHI S K, NETHRA A G, SANIYA R Associate Professor & Head, Dept. of IS&E, JIT, Davanagere, India Student, Dept. of IS&E, JIT, Davanagere, India |
| VOLUME | 177 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1312158 |
| pdf/158_AI-Assisted Integrated Healthcare Management.pdf | |
| KEYWORDS | |
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