Budak, A., Kaya, İ., Karaşan, A., & Erdoğan, M. (2020). Real-time location systems selection by using a fuzzy MCDM approach: An application in humanitarian relief logistics. Applied Soft Computing, 92, 106322. https://doi.org/10.1016/j.asoc.2020.106322
The above study investigated the usage of real-time location technologies and their population increase. It examined performance criteria and evaluated the technologies. Using a combined fuzzy-based decision-making approach, the authors selected the most appropriate real-time location technologies. The study revealed that real-time location technology could be applied to humanitarian relief logistics warehouses to monitor relief activities. Alternatives including ultra-wideband, UHF FRID, Wi-Fi, and Active FRID were considered for real-time location technology. The results revealed that real-time location technology could enhance efficiency in humanitarian warehouses. The benefits can be translated into other environments, including healthcare. The study shows that real-time location technology can be used in nursing to enhance human resources management efficiency and minimize care safety events. This resource was selected because it provides a range of real-time location technology uses in healthcare. It also expands on the existing technologies used for real-time monitoring and evaluation.
Poongodi, M., Sharma, A., Hamdi, M., Maode, M., & Chilamkurti, N. (2021). Smart healthcare in smart cities: Wireless patient monitoring system using IoT. The Journal of Supercomputing, 77(11), 12230–12255. https://doi.org/10.1007/s11227-021-03765-w
The above study investigates the use of smart healthcare systems to improve patient outcomes. Specifically, the researchers examined the use of smart navigation systems for ambulances. They discovered that too much time is wasted between information facilitation and patient transfer for specialized treatments in healthcare facilities. As a result, the authors developed a patient monitoring and ambulance tracking system to make timely diagnosis and referral decisions in healthcare. The system uses monitors and transmits breath rate, temperature, and heartbeat to healthcare providers before ambulance deployment. Patients can also request an ambulance instantly without calling the hospital for ambulance deployment. Patients can also track ambulance locations and get instant navigation to the nearest facilities for effective disease management. The article shows the relevance of smart healthcare systems. They can facilitate timely decision-making, patient transfers, and elimination of adverse events in disease management. This article was selected because it provides novel approaches to using smart healthcare technologies to improve patient outcomes. Healthcare providers also learn about other technologies that can be incorporated into smart technologies to improve care outcomes.
Price, J. R., Mookerjee, S., Dyakova, E., Myall, A., Leung, W., Weiße, A. Y., Shersing, Y., Brannigan, E. T., Galletly, T., Muir, D., Randell, P., Davies, F., Bolt, F., Barahona, M., Otter, J. A., & Holmes, A. H. (2021). Development and Delivery of a Real-time Hospital-onset COVID-19 Surveillance System Using Network Analysis. Clinical Infectious Diseases, 72(1), 82–89. https://doi.org/10.1093/cid/ciaa892
The above study investigated the design and implementation of a hospital-onset COVID-19 infection (HOCI) surveillance system. The system was adopted for an acute healthcare setting to target prevention interventions. The HOCI incorporated elements of a real-time location system to guide disease detection and prevention interventions. The study was conducted in a large teaching hospital in London, United Kingdom. The researchers utilized patients who tested positive for COVID-19 between 4 March and 14 April 2020. The researchers used electronic healthcare systems to collect data and develop a novel surveillance system for detecting and reporting HOCI incidents. The results revealed that the real-time surveillance system detected COVID-19 changing rates and informed decisions made to prevent disease spread and manage cases. The article shows that HOCI technology is important to nursing and healthcare in facilitating disease monitoring, evaluation, and implementation of change interventions. Healthcare providers can use the article to develop innovative systems for timely disease surveillance and management.
Dwivedi, R., Mehrotra, D., & Chandra, S. (2022). Potential of Internet of Medical Things (IoMT) applicatio
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