Background: Theoretically, communication systems have the potential to increase the productivity of anesthesiologists supervising anesthesia providers. We evaluated the maximal potential of communication systems to increase the productivity of anesthesia care by enhancing anesthesiologists' coordination of care (activities) among operating rooms (ORs).
Methods: At hospital A, data for 13,368 pages were obtained from files recorded in the internal alphanumeric text paging system. Pages from the postanesthesia care unit were processed through a numeric paging system and thus not included. At hospital B, in a different US state, 3 of the authors categorized each of 898 calls received using the internal wireless audio system (Vocera(®)). Lower and upper 95% confidence limits for percentages are the values reported.
Results: At least 45% of pages originated from outside the ORs (e.g., 20% from holding area) at hospital A and at least 56% of calls (e.g., 30% administrative) at hospital B. In contrast, requests from ORs for urgent presence of the anesthesiologist were at most 0.2% of pages at hospital A and 1.8% of calls at hospital B.
Conclusions: Approximately half of messages to supervising anesthesiologists are for activity originating outside the ORs being supervised. To use communication tools to increase anesthesia productivity on the day of surgery, their use should include a focus on care coordination outside ORs (e.g., holding area) and among ORs (e.g., at the control desk).
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http://dx.doi.org/10.1213/ANE.0b013e3182771cea | DOI Listing |
Sci Rep
January 2025
North Carolina School of Science and Mathematics, Durham, NC, 27705, USA.
Mobile Ad Hoc Networks (MANETs) are increasingly replacing conventional communication systems due to their decentralized and dynamic nature. However, their wireless architecture makes them highly vulnerable to flooding attacks, which can disrupt communication, deplete energy resources, and degrade network performance. This study presents a novel hybrid deep learning approach integrating Convolutional Neural Networks (CNN) with Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) architectures to effectively detect and mitigate flooding attacks in MANETs.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Agricultural Engineering, Kongunadu College of Engineering and Technology, Trichy, Tamil Nadu, India.
This study investigates the enhancement of solar cell efficiency using nanofluid cooling systems, focusing on citrate-stabilized and PVP-stabilized silver nanoparticles. Traditional silicon-based and perovskite solar cells were examined to assess the impact of these nanofluids on efficiency improvement and thermal management. A Central Composite Design (CCD) was employed to vary nanoparticle concentration (0.
View Article and Find Full Text PDFBMJ Glob Health
January 2025
School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
Background: The way that healthcare services are organised and delivered (termed 'healthcare delivery arrangements') is a key aspect of a health system. Changing the way health care is delivered, for example, task shifting that delivers the same care at lower cost, may be one way of improving healthcare system sustainability. We synthesised the existing randomised trial evidence to compare the effects of alternative healthcare delivery arrangements versus usual care in Nepal.
View Article and Find Full Text PDFJ Pain Symptom Manage
January 2025
Cambia Palliative Care Center of Excellence at UW Medicine, University of Washington, Seattle, WA; Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA.
Context: Critically-ill patients and their families often experience communication challenges during their ICU stay and across transitions in care. An intervention using communication facilitators may help address these challenges.
Objectives: Using clinicians' perspectives, we identified facilitators and barriers to implementing a communication intervention.
Midwifery
December 2024
Health Systems and Equity, Eastern Health Clinical School, Monash University, Australia. Electronic address:
Problem/ Background: The acceptability of providing women with personalised cardiometabolic risk information using risk prediction tools early in pregnancy is not well understood.
Aim: To explore women's and healthcare professionals' perspectives of the acceptability of a prognostic, composite risk prediction tool for cardiometabolic risk (gestational diabetes and/or hypertensive disorders of pregnancy) for use in early pregnancy.
Methods: Semi-structured interviews were conducted to explore the acceptability of cardiometabolic risk prediction tools, preferences for risk communication and considerations for implementation into antenatal care.
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