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A retrospective observational study of vCare: a virtual emergency clinical advisory and transfer service in rural and remote Australia.
BMC Health Serv Res
January 2024
School of Rural Health, Faculty of Medicine and Health, University of Sydney, 4 Moran Drive, Dubbo, NSW, 2830, Australia.
Background: Provision of critical care in rural areas is challenging due to geographic distance, smaller facilities, generalist skill mix and population characteristics. Internationally, the amalgamation telemedicine and retrieval medicine services are developing to overcome these challenges. Virtual emergency clinical advisory and transfer service (vCare) is one of these novel services based in New South Wales, Australia.
View Article and Find Full Text PDFFrance's New Lung Transplant Allocation System: Combining Equity With Proximity by Optimizing Geographic Boundaries Through the Supply/Demand Ratio.
Transpl Int
June 2022
Agence de la Biomédecine, Saint-Denis, France.
A new lung allocation system was introduced in France in September 2020. It aimed to reduce geographic disparities in lung allocation while maintaining proximity. In the previous two-tiered priority-based system, grafts not allocated through national high-urgency status were offered to transplant centres according to geographic criteria.
View Article and Find Full Text PDFThe accuracy of the Manchester Triage System in an emergency service.
Rev Gaucha Enferm
November 2021
Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Nursing Post-graduation Program. Porto Alegre, Rio Grande do Sul, Brasil.
Objective: To verify the accuracy of the Manchester Triage System (MTS) and the outcomes of adult patients in an emergency hospital service.
Method: Cross-sectional study, conducted through an inspection of records of risk classification of adult patients treated in the emergency service of a hospital.
Results: The patients (n = 400) were classified according to priority levels, in red (0.
Building Consensus on the Priority-Setting for National Policies in Health Information Technology: A Delphi Survey.
Healthc Inform Res
July 2020
School of Management, Kyung Hee University, Seoul, Korea.
Objective: With growing attention on the healthcare industry as a potential market for big data and artificial intelligence in the Fourth Industrial Revolution, countries around the world are introducing and developing various policies and projects related to health information technology (HIT). To assist prioritizing HIT topics in policy making, this study adopts the Delphi technique to garner expert opinions from various fields of health informatics.
Methods: Data were collected from November 2019 to February 2020 using the Delphi technique through two rounds of surveys administered via email.
Objective: Our objective was to determine whether there is a need to go beyond measures of automation deactivation time to understand the transition to manual driving after take-over requests (TORs) using the example of office tasks as nondriving-related tasks (NDRTs).
Background: Office tasks are likely NDRTs during automated commutes to/from work. Complex tasks can influence how manual control and visual attention is recovered after TORs.
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