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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Revolutionizing Healthcare Delivery: A Comprehensive Review of Chatbot-enabled Systems Integrating Real-time Sensor Data and Cloud Computing |
| Authors Name: | Atharva Thube , Sanket Shendge , Prerana Vichare , Jyoti Vishwakarma |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_208878
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| Published Paper Id: | IJNRD2311191 |
| Published In: | Volume 8 Issue 11, November-2023 |
| DOI: | |
| 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. |
| Keywords: | Healthcare, Patients, Data, Sensors, Scalability, IOT, AWS, Cloud, Accessibility, Capabilities. |
| Cite Article: | "Revolutionizing Healthcare Delivery: A Comprehensive Review of Chatbot-enabled Systems Integrating Real-time Sensor Data and Cloud Computing", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 11, page no.b711-b715, November-2023, Available :http://www.ijnrd.org/papers/IJNRD2311191.pdf |
| Downloads: | 000118758 |
| 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 |
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Published Paper ID:IJNRD2311191 Registration ID: 208878 Published In: Volume 8 Issue 11, November-2023 DOI (Digital Object Identifier): Page No: b711-b715 Country: Pune, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2311191 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2311191 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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