This study report aimed to investigate the barriers to implementation of electronic health record systems from the perspective of nurses. The research data comprised responses from nurses working in a university hospital. Our data collection instruments were the Participant Information Form and EHR Nurse Opinion Questionnaire, which were developed by the researchers. Data analysis was presented as summary statistics, including mean values of variables, standard deviation, frequency, and percentages. A total of 160 nurses participated in the study. The mean age of participants was 30.94 ± 0.59 years, and 77.5% were university graduates. Barriers to adoption of the electronic health record system included high number of patients (82.8%), limited time (79%), lack of knowledge and skills for effective use of the system (22.9%), lack of user-friendly interface and inability to create a common language within the team (17.8%), and attachment to the traditional method (17.2%). Although most nurses thought that the electronic health record system offered some advantages, they reported that factors such as large numbers of patients, limited time, and lack of user-friendly interface hindered its adoption. Innovative strategies should be explored to develop user-friendly designs for electronic health records and to produce solutions for nursing shortages to increase the time allocated for patient care.
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http://dx.doi.org/10.1097/CIN.0000000000000848 | DOI Listing |
Appl Health Econ Health Policy
December 2024
Centre for Health Economics Research and Evaluation, University of Technology Sydney, Level 5, Building 20, 100 Broadway, Chippendale, Sydney, NSW, 2008, Australia.
Objective: This article reviews the assessment pathways that have been implemented worldwide to facilitate access to drugs for patients with rare diseases.
Methods: The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were used to conduct a systematic literature review. The Ovid (Embase/MEDLINE), Cochrane, Web of Science, Econlit, National Institute of Health Research, Centre for Reviews and Dissemination, and International Network of Agencies for Health Technology Assessment databases were searched.
ACS Appl Mater Interfaces
December 2024
Center for Optics Research and Engineering, State Key Laboratory of Crystal Materials, Shandong University, Qingdao 266237, China.
Shear mode ultrasonic waves are in high demand for structural health monitoring (SHM) applications owing to their nondispersive characteristics, singular mode, and minimal energy loss, especially in harsh environments. However, the generation and detection of a pure shear wave using conventional piezoelectric materials present substantial challenges because of their complex piezoelectric response, involving multiple modes. Herein, we introduce a high-quality piezoelectric crystal BiSiO (BSO), exhibiting a robust piezoelectric response ( = 45.
View Article and Find Full Text PDFJ Am Med Inform Assoc
December 2024
AI for Health Institute, Washington University in St Louis, St Louis, MO 63130, United States.
Objective: Early detection of surgical complications allows for timely therapy and proactive risk mitigation. Machine learning (ML) can be leveraged to identify and predict patient risks for postoperative complications. We developed and validated the effectiveness of predicting postoperative complications using a novel surgical Variational Autoencoder (surgVAE) that uncovers intrinsic patterns via cross-task and cross-cohort presentation learning.
View Article and Find Full Text PDFGenet Med
December 2024
Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA; The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA; Harvard Medical School, Boston, MA.
Purpose: Genomic sequencing of newborns (NBSeq) can initiate disease surveillance and therapy for children, and may identify at-risk relatives through reverse cascade testing. We explored genetic risk communication and reverse cascade testing among families of newborns who underwent exome sequencing and had a risk for autosomal dominant disease identified.
Methods: We conducted semi-structured interviews with parents of newborns enrolled in the BabySeq Project who had a pathogenic or likely-pathogenic (P/LP) variant associated with an autosomal dominant (AD) childhood- and/or adult-onset disease returned.
Clin Pharmacol Ther
December 2024
Flatiron Health, New York, NY, USA.
Clinical research has historically failed to include representative levels of historically underrepresented populations and these inequities continue to persist. Ensuring representativeness in clinical trials is crucial for patients to receive clinically appropriate treatment and have equitable access to novel therapies; enhancing the generalizability of study results; and reducing the need for post-marketing commitments focused on underrepresented groups. As demonstrated by recent legislation and guidance documents, regulatory agencies have shown an increased interest in understanding how novel therapies will impact the patient population that will receive them.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!