The development of methods to improve the quality of services provided at hospitals has been essential owing to the inadequacy of arrangements for standard procedures and the inadequacy of work instructions based on such procedures. In this paper, we propose a method that involves the following steps: description of the job process, analysis of the causes of incidents, and the planning of improvements for the relevant job process. This method describes a healthcare process using a set of unit process flow charts (UPFCs), which are structured and standardized modules represented in the form of flow charts that elucidate the elements of jobs. Describing a job in this manner allows for an appropriate and in-depth analysis of the causes of incidents that occur during a job process, owing to the fact that the structure and description of the characteristics of relevant unit processes are properly designed. In this paper, we provide a detailed explanation of how this method was developed. Lastly, we apply the method to actual cases at a hospital to illustrate its effectiveness in comparison with the systems that are currently in place.
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PLoS One
December 2024
Department of Energy, Systems, Territory, and Construction Engineering, Pisa, Italy.
Technological innovation serves as the catalyst for the shift towards circular practices. Technologies not only address technical challenges, facilitating the transition to a more circular economy, but they also enhance business efficiency and profitability. Furthermore, they promote inclusivity and create job opportunities, ultimately yielding positive societal impacts.
View Article and Find Full Text PDFJ Athl Train
December 2024
Department of Exercise Science, University of South Carolina, Columbia, SC, E-mail:
Context: A patient-centered care (PCC) environment allows athletic trainers (ATs) to develop trusting relationships with patients, enabling them to make the most informed care decisions. To provide PCC, the AT should assess health literacy and deliver quality patient education.
Objective: To explore the lived experiences of ATs from different job settings to identify how they deliver PCC specific to health literacy and patient education.
BMC Nurs
December 2024
Nursing Department, Cappadocia University School of Health Sciences, Nevşehir, Türkiye.
Background: Nursing education combines theoretical knowledge and clinical practice to prepare nursing students to meet the evolving demands of healthcare services. Understanding nursing students' metaphorical perceptions of the nursing profession and professional communication during their first clinical experiences can provide valuable insights into their professional identity and communication skills, as well as giving information about necessary improvements in nursing education. This study aimed to reveal the metaphorical perceptions of nursing students regarding the concepts of professional communication and nursing during their first clinical practices.
View Article and Find Full Text PDFBJPsych Open
December 2024
Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Germany.
Background: Employment and relationship are crucial for social integration. However, individuals with major psychiatric disorders often face challenges in these domains.
Aims: We investigated employment and relationship status changes among patients across the affective and psychotic spectrum - in comparison with healthy controls, examining whether diagnostic groups or functional levels influence these transitions.
Front Chem
November 2024
African Society for Bioinformatics and Computational Biology, Cape Town, South Africa.
Introduction: Homology modeling is a widely used computational technique for predicting the three-dimensional (3D) structures of proteins based on known templates,evolutionary relationships to provide structural insights critical for understanding protein function, interactions, and potential therapeutic targets. However, existing tools often require significant expertise and computational resources, presenting a barrier for many researchers.
Methods: Prostruc is a Python-based homology modeling tool designed to simplify protein structure prediction through an intuitive, automated pipeline.
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