System Development for Measuring Nursing Workload Based on the Real‐Time Location Information.
Background: There are no objective measurement methods that provide empirical data on nursing workload. Aim: This study aimed to develop a system to measure nursing workload using beacons and a smartphone based on the real‐time location information. Methods: This was a study of the technological dev...
| Publicado en: | Journal of Nursing Management Vol. 2025; pp. 1 - 9 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
9/17/2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188018758&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188018758 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09660429 81U jtl: Journal of Nursing Management issn: 09660429 maglogo: Y pubinfo: dt: 9/17/2025 vid: 2025 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 188018758 188018758 188018758 10.1155/jonm/2188150 188018758 ppf: 1 ppct: 8 formats: tig: atl: System Development for Measuring Nursing Workload Based on the Real‐Time Location Information. aug: au: Park, Hyunggon Kang, Younhee Gutiérrez-Puertas, Lorena affil: Department of Electronic and Electrical Engineering,, College of Engineering,, Ewha Womans University,, Seoul, Republic of Korea, ewha.ac.kr sug: subj: Computer Systems Systems Development Nursing Staff, Hospital Workload Measurement Global Positioning System Mobile Applications Utilization Smartphone Personnel Staffing and Scheduling Methods Nursing Informatics Human Funding Source South Korea Data Collection Time and Motion Studies Nursing Shortage Personnel Turnover Technology, Medical Workload Validity Reliability Reproducibility of Results Information Storage Information Retrieval Data Communications ab: Background: There are no objective measurement methods that provide empirical data on nursing workload. Aim: This study aimed to develop a system to measure nursing workload using beacons and a smartphone based on the real‐time location information. Methods: This was a study of the technological development of a system for measuring nursing workload using beacons and smartphones. The validation of the system developed was performed by assessing the recognition rate of beacons by multiple walk‐through tests and determining the optimal number of beacons and smartphones for a higher recognition rate of beacons. Results: The system consisted of four components: data‐generation devices, nurse devices, servers, and databases. The location information generated from beacons is stored in nurses' smartphones. Then, these data were then transmitted from the smartphone to the server and stored in a server database. As a result of system validation, the optimal recognition rate of the beacon through the smartphone was determined as 97.5% and 96.2% with 12 beacons and 15 beacons, respectively, in one smartphone. The higher the number of beacons and smartphones employed in the system developed, the lower the recognition rates were. Conclusions and Implications for Nursing: The system developed in this study for measuring nursing workload is highly accurate in providing nurses' real‐time location information. Thus, this system could be utilized to measure the nursing workload objectively because it provides the real‐time location information, moving path, and distance of nurses during work. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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