Integrating AI-driven Prognosis and Diagnosis into a Comprehensive Healthcare Web Application: A Review of Patient- Centric Features, Doctor Empowerment, and Administrative Oversight

Authors

  • Supriya Bhosale  Nutan Maharashtra Institute of Engineering and Technology, Talegaon(D), Pune, Maharashtra, India
  • Nidhi Hegde  Nutan Maharashtra Institute of Engineering and Technology, Talegaon(D), Pune, Maharashtra, India
  • Nikhil Attarde  Nutan Maharashtra Institute of Engineering and Technology, Talegaon(D), Pune, Maharashtra, India
  • Mehul Agrawal  Nutan Maharashtra Institute of Engineering and Technology, Talegaon(D), Pune, Maharashtra, India
  • Chandrakant Kokane  Nutan Maharashtra Institute of Engineering and Technology, Talegaon(D), Pune, Maharashtra, India
  • Vilas Deotare   Nutan Maharashtra Institute of Engineering and Technology, Talegaon(D), Pune, Maharashtra, India

Keywords:

AI-driven Prognosis Engine, AI Technologies, Patient-Centric Features

Abstract

This paper explores the design and functionality of a cutting-edge healthcare web application catering to the interconnected needs of patients, doctors, and administrators. The platform incorporates an innovative approach to patient engagement, wherein users can seamlessly upload medical reports, input vital health details, and articulate symptoms. Leveraging an AI-driven Prognosis Engine, the system predicts potential courses and domains of diseases based on the provided information. Subsequently, a Diagnosis AI Engine refines the assessment, leading to a curated list of relevant doctors for patient consideration. The application facilitates appointment booking, both offline and online, streamlining the healthcare-seeking process. On the doctor's side, a comprehensive dashboard displays patient appointments, symptoms, and medical histories, accompanied by tools for efficient prescription management. Throughout the user journey, timely notifications keep both patients and doctors informed. Administrators wield oversight, managing the patient and doctor databases with essential administrative functionalities. This review examines the intricate integration of AI technologies, patient-centric features, and administrative controls, emphasizing the potential impact on enhancing healthcare accessibility, efficiency, and overall user experience.

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International Journal of Scientific Research in Science and Technology

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Published

2023-12-30

Issue

Volume 10, Issue 6, November-December-2023

Section

Research Articles

License

Copyright (c) IJSRST

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Supriya Bhosale, Nidhi Hegde, Nikhil Attarde, Mehul Agrawal, Chandrakant Kokane, Vilas Deotare , " Integrating AI-driven Prognosis and Diagnosis into a Comprehensive Healthcare Web Application: A Review of Patient- Centric Features, Doctor Empowerment, and Administrative Oversight, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 10, Issue 6, pp.249-254, November-December-2023.