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Emotional analysis of operating room nurses in acute care hospitals in Japan: insights using ChatGPT.
BMC Nurs
January 2025
Department of Healthcare Management Research Center, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8677, Japan.
Aim: This study aimed to explore the emotions of operating room nurses in Japan towards perioperative nursing using generative AI and human analysis, and to identify factors contributing to burnout and turnover.
Methods: A single-center cross-sectional study was conducted from February 2023 to February 2024, involving semi-structured interviews with 10 operating room nurses from a national hospital in Japan. Interview transcripts were analyzed using generative AI (ChatGPT-4o) and human researchers for thematic, emotional, and subjectivity analysis.
Contribution of Video Directly Observed Therapy (VDOT) to Tuberculosis Treatment in Brazil.
J Med Syst
January 2025
Department of Public Health, Ribeirão Preto Medical School, University of São Paulo (USP), Ribeirão Preto, São Paulo, Brazil.
Directly Observed Treatment (DOT) involves the administration of medication and in-person monitoring by a healthcare team alongside the patient to improve adherence to tuberculosis (TB) treatment. Implementing DOT requires healthcare professionals, transportation, time dedication, and presence at the patient's residence. Meeting all these conditions is not always possible to address the high demand of TB patients who would benefit from this supervision.
View Article and Find Full Text PDFA systematic review of the blockchain application in healthcare research domain: toward a unified conceptual model.
Med Biol Eng Comput
January 2025
Faculty of Medicine and University Hospital Cologne, Institute for Medical Cologne, Cologne, Germany.
Recently, research on blockchain applications in the healthcare research domain has attracted increasing attention due to its strong potential. However, the existing literature reveals limited studies on defining use cases of blockchain in clinical research, categorizing and comparing available studies. Therefore, this study aims to explore the significant potential and use cases of blockchain in clinical research through a comprehensive systematic literature review (SLR).
View Article and Find Full Text PDFCPhaMAS: The first pharmacokinetic analysis cloud platform developed by China.
Zhong Nan Da Xue Xue Bao Yi Xue Ban
August 2024
Center of Clinical Pharmacology, Third Xiangya Hospital, Central South University, Changsha 410013.
Objectives: Software for pharmacological modeling and statistical analysis is essential for drug development and individualized treatment modeling. This study aims to develop a pharmacokinetic analysis cloud platform that leverages cloud-based benefits, offering a user-friendly interface with a smoother learning curve.
Methods: The platform was built using Rails as the framework, developed in Julia language, and employs PostgreSQL 14 database, Redis cache, and Sidekiq for asynchronous task management.
Interrogating green social prescribing in South Wales; A multi-stakeholder qualitative exploration.
PLoS One
January 2025
Swansea Community Farm, Swansea, Wales, United Kingdom.
Background: As an umbrella term, social prescribing offers varied routes into society which promise to support, enhance, and empower individual citizens to take control of their own health and wellbeing. Globally healthcare systems are struggling to cope with the increasing demands of an ageing population and the NHS (UK) is no exception. Social prescribing is heralded as a means to relieve the burden on primary care and provide support for the 20% of patients whose needs are non-medical.
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