Implement an IOT Platform of Biosignal Monitoring for Nurse Station

Chen, Pei-Jarn; Weng, Jui-Yu; Chiou, Yi-Kai

doi:10.1109/ecbios50299.2020.9203686

2020 IEEE 2nd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS) 2020

DOI: 10.1109/ecbios50299.2020.9203686

|View full text |Cite

Implement an IOT Platform of Biosignal Monitoring for Nurse Station

Pei-Jarn Chen

Jui-Yu Weng

Yi-Kai Chiou

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Intensive care unit nursing workload estimation in smart hospitals

Nolio Santa Cruz,

Vaz Sampaio,

Becker Westphall

et al. 2024

JHOM

View full text Add to dashboard Cite

PurposeThe objectives of the proposed model are: aiding nursing staff in documentation tasks, which can be onerous and stressful; and helping management by offering an estimate of the nursing workload, which can be considered for administrative purposes, such as staff scheduling.Design/methodology/approachAn exploratory-descriptive study was conducted in order to identify, investigate, and describe the problem of documenting nursing activities and workload estimation in an intensive care unit. Technological solutions were explored, and models were proposed to address these issues.FindingsCross-dataset experiments were performed, and the model was able to offer an adequate estimate of the nursing workload. The results suggest that continuous retraining is essential for maintaining high accuracy. While the proposed model was considered in the context of an adult ICU, it can be adapted to other contexts, such as elderly care.Research limitations/implicationsWhile the proposed solution seems promising, further research is required, such as deploying this system in an ICU and facing challenges in the areas of computer security, medical ethics, and patient data privacy. More patients’ variables could also be collected to improve the workload estimates.Originality/valueNursing workload assessment is critical to improve the cost-benefit ratio in health care, offer high-quality patient care, and reduce unnecessary expenses, and this process is usually manual. An automated device can automatically document the amount of time spent in patient care activities in a more transparent, efficient, and accurate manner, freeing staff for more urgent activities and keeping management better informed about day-to-day nursing operations.

show abstract

Intensive care unit nursing workload estimation in smart hospitals

Nolio Santa Cruz,

Vaz Sampaio,

Becker Westphall

et al. 2024

JHOM

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Implement an IOT Platform of Biosignal Monitoring for Nurse Station

Cited by 1 publication

References 8 publications

Intensive care unit nursing workload estimation in smart hospitals

Intensive care unit nursing workload estimation in smart hospitals

Contact Info

Product

Resources

About