Optimizing hospital bed management system with IoT
Effective management of hospital beds is considered one of the key factors in providing timely and efficient health services in response to growing patient demand. This paper describes the concept of utilizing the Internet of Things (IoT) for managing hospital bed assignments and utilization to mini...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
Human Resource Management Academic Research Society
2024
|
| Online Access: | http://eprints.utem.edu.my/id/eprint/28521/2/0030431122024131141573.pdf http://eprints.utem.edu.my/id/eprint/28521/ https://hrmars.com/papers_submitted/24355/optimizing-hospital-bed-management-system-with-iot.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832718939875966976 |
|---|---|
| author | Mohd Zin, Mohd Shahril Izuan Awang Md Isa, Azmi Md Salim, Sani Irwan Shaare, Muhammad Nurhaziq |
| author_facet | Mohd Zin, Mohd Shahril Izuan Awang Md Isa, Azmi Md Salim, Sani Irwan Shaare, Muhammad Nurhaziq |
| author_sort | Mohd Zin, Mohd Shahril Izuan |
| building | UTEM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknikal Malaysia Melaka |
| content_source | UTEM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Effective management of hospital beds is considered one of the key factors in providing timely and efficient health services in response to growing patient demand. This paper describes the concept of utilizing the Internet of Things (IoT) for managing hospital bed assignments and utilization to minimize various issues related to bed management, such as patient flow, bed availability, and resource allocation. The initiative seeks to enhance current bed management practices using IoT technologies by embedding real-time data acquisition and monitoring. Traditional bed management systems rely on manual updates, which lead to delays in patient movement data and misallocations, such as assigning occupied beds to newly arriving patients. The proposed project thus offers a bed management solution that reduces errors and enhances patient care by providing healthcare administrators with a real-time view of current bed occupancy. The proposed system improves bed management decisions, facilitates better patient flow, and streamlines resource allocation within hospitals through the deployment of sensor networks and predictive analytics. Results obtained from the system's operation have been encouraging, showing significant improvements in minimizing patient waiting times and optimizing hospital operations overall. |
| format | Article |
| id | my.utem.eprints-28521 |
| institution | Universiti Teknikal Malaysia Melaka |
| language | en |
| publishDate | 2024 |
| publisher | Human Resource Management Academic Research Society |
| record_format | eprints |
| spelling | my.utem.eprints-285212025-03-14T14:58:40Z http://eprints.utem.edu.my/id/eprint/28521/ Optimizing hospital bed management system with IoT Mohd Zin, Mohd Shahril Izuan Awang Md Isa, Azmi Md Salim, Sani Irwan Shaare, Muhammad Nurhaziq Effective management of hospital beds is considered one of the key factors in providing timely and efficient health services in response to growing patient demand. This paper describes the concept of utilizing the Internet of Things (IoT) for managing hospital bed assignments and utilization to minimize various issues related to bed management, such as patient flow, bed availability, and resource allocation. The initiative seeks to enhance current bed management practices using IoT technologies by embedding real-time data acquisition and monitoring. Traditional bed management systems rely on manual updates, which lead to delays in patient movement data and misallocations, such as assigning occupied beds to newly arriving patients. The proposed project thus offers a bed management solution that reduces errors and enhances patient care by providing healthcare administrators with a real-time view of current bed occupancy. The proposed system improves bed management decisions, facilitates better patient flow, and streamlines resource allocation within hospitals through the deployment of sensor networks and predictive analytics. Results obtained from the system's operation have been encouraging, showing significant improvements in minimizing patient waiting times and optimizing hospital operations overall. Human Resource Management Academic Research Society 2024 Article PeerReviewed text en cc_by_4 http://eprints.utem.edu.my/id/eprint/28521/2/0030431122024131141573.pdf Mohd Zin, Mohd Shahril Izuan and Awang Md Isa, Azmi and Md Salim, Sani Irwan and Shaare, Muhammad Nurhaziq (2024) Optimizing hospital bed management system with IoT. International Journal of Academic Research in Business and Social Sciences, 14 (12). pp. 3982-3995. ISSN 2222-6990 https://hrmars.com/papers_submitted/24355/optimizing-hospital-bed-management-system-with-iot.pdf 10.6007/IJARBSS/v14-i12/24355 |
| spellingShingle | Mohd Zin, Mohd Shahril Izuan Awang Md Isa, Azmi Md Salim, Sani Irwan Shaare, Muhammad Nurhaziq Optimizing hospital bed management system with IoT |
| title | Optimizing hospital bed management system with IoT |
| title_full | Optimizing hospital bed management system with IoT |
| title_fullStr | Optimizing hospital bed management system with IoT |
| title_full_unstemmed | Optimizing hospital bed management system with IoT |
| title_short | Optimizing hospital bed management system with IoT |
| title_sort | optimizing hospital bed management system with iot |
| url | http://eprints.utem.edu.my/id/eprint/28521/2/0030431122024131141573.pdf http://eprints.utem.edu.my/id/eprint/28521/ https://hrmars.com/papers_submitted/24355/optimizing-hospital-bed-management-system-with-iot.pdf |
| url_provider | http://eprints.utem.edu.my/ |