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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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Impact Factor : 8.14
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| Paper Title: | IOT BASEDAUTOMATIC BED VACANCY DETECTION IN HOSPITALUSING LOAD SENSOR |
| Authors Name: | KIRTHIKA S , PRABU R M.E., , SUNDARARAJ V M.E., , HARINISRI J , SAKTHIPRIYA P |
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IJRTI_203930
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| Published Paper Id: | IJRTI2505188 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | An efficient bed availability tracking system is a crucial component in modern healthcare infrastructure, particularly in India where hospital bed scarcity is a major concern. Delays in accessing beds for treatment often lead to severe consequences, especially in rural areas. To address this issue, we propose a smart bed management system utilizing Internet of Things (IoT) technology, load sensors, and a web-based interface. Unlike traditional systems that rely solely on manual updates or basic IR sensors, our approach incorporates load sensors to accurately detect the presence or absence of a patient on a bed. These sensors are integrated with an Arduino microcontroller, which collects real-time data and transmits it to a central web server. In addition to tracking bed occupancy, our system also links each bed with patient details, including ID, admission time, and status, allowing hospital staff to manage and allocate resources more effectively. This system ensures transparency for patients and their families, who can check real-time availability and pre-book beds remotely. Hospital administrators benefit from centralized monitoring, enabling rapid response in emergency situations and better utilization of available facilities. The integration of load sensors improves detection accuracy over traditional IR sensors, reducing false positives due to movements around the bed. This project provides a scalable and user-friendly solution for both urban and rural hospitals, aiming to reduce patient wait times and improve overall hospital management efficiency. |
| Keywords: | IoT Technology, Load Sensors, Arduino, Web Server, Bed Availability, Patient Management, Real-time Monitoring |
| Cite Article: | "IOT BASEDAUTOMATIC BED VACANCY DETECTION IN HOSPITALUSING LOAD SENSOR", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.b768-b772, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505188.pdf |
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| ISSN: |
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: IJRTI2505188
Registration ID:203930
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: b768-b772 Country: NAMAKKAL, TAMILNADU, India Research Area: Other Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505188 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505188 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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