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Background: A substantial proportion of patients require acute hospital care after hospital discharge post surgery, and many regions and countries have surgical backlogs.
Objective: The Post Discharge After Surgery Virtual Care with Remote Automated Monitoring Technology-3 (PCV-RAM-3) trial tests the hypothesis that informing surgeons and patients of virtual care with remote automated monitoring (VC-RAM) assignment will promote earlier discharge, thereby reducing the index length of hospital stay, and that postdischarge VC-RAM will reduce acute hospital care.
Methods: The PVC-RAM-3 trial is a randomized controlled trial that compares VC-RAM to standard postdischarge care among 2500 adults undergoing elective noncardiac surgery in 3 Canadian hospitals. Following the randomization of patients prior to surgery, surgeons and patients are immediately notified whether the patient has been allocated to the VC-RAM or control group. Outcome adjudicators remain blinded to each participant's group assignment. Patients in the intervention arm learn to use a Health Canada-approved cellular modem-enabled tablet computer and Bluetooth-enabled remote automated monitoring technology from Cloud DX to take daily wound photos for 7 days and measure daily vital signs (ie, blood pressure, heart rate, oxygen saturation, temperature, and weight) three times daily on days 1-7 and twice daily on days 8-14 post discharge, along with completing a brief recovery survey. Nurses review these data and conduct scheduled virtual visits (days 1, 3, 7, and 14). Nurses will escalate care to a preassigned and available perioperative care physician if predetermined vital sign thresholds are exceeded, concerning symptoms arise, or a medication error is detected. These physicians manage the issues and add or modify treatments as needed. The standard care group will receive postdischarge care as per the standard of care at the hospital where they undergo surgery. The coprimary outcomes are acute hospital care and the index hospital length of stay within the first 30 days after randomization.
Results: Study recruitment and follow-up are completed, and analysis of the study results is underway.
Conclusions: This trial will offer insights into the role of VC-RAM in reducing acute hospital care and index length of hospital stay among adults undergoing elective surgery.
Trial Registration: ClinicalTrials.gov NCT05171569; https://clinicaltrials.gov/ct2/show/NCT05171569.
International Registered Report Identifier (irrid): DERR1-10.2196/72672.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12171644 | PMC |
http://dx.doi.org/10.2196/72672 | DOI Listing |
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Department of Pathology, Tata Memorial Center, Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India
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Centre for Innovative Medical Technology, Odense University Hospital, Odense, Denmark.
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The ethical complexities of technological advancement are growing as fields such as climate adaptation, microbiology, healthcare, robotics, and artificial intelligence (AI) evolve rapidly. While these technologies offer innovative solutions to global challenges, they raise significant ethical concerns. In climate adaptation, AI-driven models and remote sensing technologies prompt questions about data privacy, environmental justice, and equitable access, especially for vulnerable populations.
View Article and Find Full Text PDFACS Omega
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Department of Electrical and Computer Engineering, North South University, Bashundhara, Plot # 15, Dhaka Division, Dhaka 1229, Bangladesh.
Air pollution is a critical threat to human health and the quality of life in large cities. In this work, we electrically characterized indoor air quality in Dhaka City with a microcontroller-based advanced sensing system in the presence of 60 air purifiers. We conducted LabVIEW-controlled, fully automated, and remotely operated experiments to precisely monitor, store, and analyze the air-purifying effects in the concentrations of air quality index (AQI) parametersPM2.
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