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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: July 2026
Volume 11 | Issue 7
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Impact Factor : 8.14
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| Paper Title: | MediAI - Smart AI-Based DoctorAppointment & Hospital Management System |
| Authors Name: | Prathmesh A. Chougale , Rushikesh S. Mahadik , Karansinh S. Jadhav , Prathamesh B. Kamble , Gaurav G. Jadhav |
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IJRTI_211826
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| Published Paper Id: | IJRTI2605064 |
| Published In: | Volume 11 Issue 5, May-2026 |
| DOI: | |
| Abstract: | Hospitals today handle a large number of patients every day, making it difficult to efficiently manage appointments, bed availability, billing, and medical records. Many healthcare institutions still depend on partially manual systems, which often result in long waiting times, scheduling conflicts, and data-related errors, ultimately affecting both staff productivity and patient satisfaction. To address these challenges, this paper presents MediAI, a smart AI-based doctor appointment and hospital management system developed to automate and streamline routine hospital operations. The system integrates web technologies with artificial intelligence to provide a unified platform for patients, doctors, and administrators. It allows patients to book appointments, check doctor availability, access digital prescriptions, and receive basic symptom guidance through an AI chatbot that uses natural language processing and machine learning to interpret user input and recommend suitable doctors or departments. In addition, the platform supports automated scheduling, real-time bed tracking, digital billing, and feedback analysis using sentiment analysis to help hospitals monitor service quality and identify areas for improvement. Built using a PHP backend, a Python and Flask-based AI module, and a MySQL database, the system ensures smooth communication between components and reliable performance under multiple user requests. Overall, MediAI demonstrates how automation and AI can enhance operational efficiency and improve the overall patient experience in modern healthcare environments. |
| Keywords: | AI-Powered Healthcare, Hospital Management System, Doctor Appointment Scheduling, Natural Language Processing (NLP), Machine Learning, Digital Health Records, Healthcare Automation |
| Cite Article: | "MediAI - Smart AI-Based DoctorAppointment & Hospital Management System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.a526-a533, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605064.pdf |
| Downloads: | 000205616 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2605064
Registration ID:211826
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: a526-a533 Country: Kolhapur, Maharashtra, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605064 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605064 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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