Paper Title
Revolutionizing Healthcare Delivery: A Comprehensive Review of Chatbot-enabled Systems Integrating Real-time Sensor Data and Cloud Computing
Article Identifiers
Authors
Atharva Thube , Sanket Shendge , Prerana Vichare , Jyoti Vishwakarma
Keywords
Healthcare, Patients, Data, Sensors, Scalability, IOT, AWS, Cloud, Accessibility, Capabilities.
Abstract
This study reveals a groundbreaking health care model that merges sophisticated technologies to offer individualized medical support. The system harnesses a chatbot for initial health advice, a protected platform for patient-clinician dialogues, and an administrative portal allowing smooth oversight. IoT devices supply on-the-spot data useful in identifying diseases thereby sharpening the quality of medical suggestions made by our team. Data accumulated through these tools is safely held within AWS Cloud proving its scalability and trustworthiness with patients' private information. A bot powered via natural language processing provides customized first-aid recommendations which acts as primary contact point for individuals reaching out about their ailments Patients have ongoing real-time discussions with healthcare professionals using fail-safe text chatting enhancing continuity in receiving needed professional assistance at all times An easy-to-use admin dashboard graces managers arriving from diverse backgrounds who are required to coordinate various systems seamlessly. This study underscores potential benefits achieved when blending state-of-art tech platforms modifying conventional healthcare delivery operations Working jointly, a benign mix of AI based bots, IoT generated device statistics, cyber computational resources along with fool-proof internal & external lines of communication forms absolute pathway catering every need related directly or indirectly towards patients’ welfare.
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How To Cite
"Revolutionizing Healthcare Delivery: A Comprehensive Review of Chatbot-enabled Systems Integrating Real-time Sensor Data and Cloud Computing", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 11, page no.b711-b715, November-2023, Available :https://ijnrd.org/papers/IJNRD2311191.pdf
Issue
Volume 8 Issue 11, November-2023
Pages : b711-b715
Other Publication Details
Paper Reg. ID: IJNRD_208878
Published Paper Id: IJNRD2311191
Downloads: 000121131
Research Area: Engineering
Country: Pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2311191.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311191
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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