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AI-ENABLED SMART CLINIC MANAGEMENT AND DECISION SUPPORT SYSTEM

Faheema Hazin A, Shakthipriya P, Hema Dharshini S, Dhanavijayan M, Dinesh S

Abstract


Healthcare institutions and clinics require efficient digital systems to manage patients,

appointments, records, and communication in a secure and user-friendly way. Traditional clinic management systems are often fragmented, difficult to scale, and lack intelligent interaction

features. This paper presents AI-Enabled Smart Clinic Management and Decision Support System, a modern full-stack healthcare web application designed to streamline clinic-related activities through a responsive web interface, secure authentication, intelligent data handling, and scalable backend services. The proposed                                                       architecture improves operational efficiency, reduces manual workload, and enhances the digital experience for clinic administrators, doctors, and patients.


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References


Jurafsky, D., & Martin, J. H. Speech and Language Processing. This book is a

foundational reference in the field of natural language processing and is relevant for

understanding how AI-based text and speech interaction can be integrated into healthcare systems like Clinic Compass.

Russell, S., & Norvig, P. Artificial

Intelligence: A Modern Approach. This book provides a broad and well-

established foundation in artificial

intelligence concepts such as intelligent agents, language processing, reasoning, and system behavior, all of which are conceptually relevant to AI-supported healthcare applications.

Pressman, R. S. Software Engineering: A Practitioner’s Approach. This reference provides principles related to software design, architecture,

maintainability, testing, and

deployment, which are useful in the structured development of Clinic Compass.

Sommerville, I. Software Engineering. This book discusses software lifecycle models, system design, quality assurance, and

maintainability practices, all of which are important for developing scalable healthcare management applications.

Topol, E. (2019). Deep Medicine: How Artificial Intelligence Can Make

Healthcare Human Again. This book explores how artificial intelligence can improve diagnosis, communication,

patient monitoring, and personalized care. It provides useful conceptual support for integrating AI-driven interaction into healthcare systems.


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