Aim: The study aimed to explore the relationship between the unintended consequences of the electronic health record and cognitive load in emergency department nurses.
Methods: The study utilized a correlational quantitative design with a survey method approach. This study had a 30.4 % response rate for a total of 304 ED nurse participants who were members of a national ED nursing organization. Data analysis included descriptive and correlational measurements of two instruments.
Results: In this study, there was a statistically significant, weak negative relationship between CL and UC-EHR in ED nurses, r (264) = -0.154, p 0.002. Although a significant weak relationship was identified in this study, the study variables, subscales, and demographic data groupings presented moderate-to-strong positive, statistically significant correlations. Descriptive frequency data unveiled EHR stimulated patient safety threats occurring once a week to monthly.
Conclusions: The novelty of this research study provided profound implications for the future of nursing practice, policy, and nursing science. EHR optimization to minimize patient safety risks is recommended with the inclusion of end-users from this study's identified subgroups. The researchers propose a reduction of EHR burden in nursing practice.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.apnr.2023.151724 | DOI Listing |
J Med Internet Res
January 2025
Center for Community-Engaged Artificial Intelligence, School of Science & Engineering, Tulane University, New Orleans, LA, United States.
There is a critical need for community engagement in the process of adopting artificial intelligence (AI) technologies in public health. Public health practitioners and researchers have historically innovated in areas like vaccination and sanitation but have been slower in adopting emerging technologies such as generative AI. However, with increasingly complex funding, programming, and research requirements, the field now faces a pivotal moment to enhance its agility and responsiveness to evolving health challenges.
View Article and Find Full Text PDFRehabil Psychol
February 2025
Department of Psychiatry and Behavioral Health, Ohio State University Wexner Medical Center.
Introduction: Positionality statements accompanying peer-reviewed publications are increasingly being implemented in academic journals across many disciplines, including psychology. These statements serve as transparent, public acknowledgments of the authors' identities, which can offer valuable insight into the authors' work in the context of their lived experiences and potential biases. However, journal editors and associated staff risk harm by uniformly adopting a policy on positionality statements without consideration of the unintended consequences of implementing such practices.
View Article and Find Full Text PDFPublic Health Rep
January 2025
Division of Injury Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Data science is an emerging field that provides new analytical methods. It incorporates novel data sources (eg, internet data) and methods (eg, machine learning) that offer valuable and timely insights into public health issues, including injury and violence prevention. The objective of this research was to describe ethical considerations for public health data scientists conducting injury and violence prevention-related data science projects to prevent unintended ethical, legal, and social consequences, such as loss of privacy or loss of public trust.
View Article and Find Full Text PDFBMJ Open
January 2025
Population Council, Washington, District of Columbia, USA.
Objectives: Evidence regarding interventions to engage men and boys to improve sexual and reproductive health and rights (SRHR) has grown rapidly across subtopics such as HIV, family planning and gender-based violence (GBV). We conducted a review of the effectiveness of interventions to engage men and boys across SRHR domains, lessons learnt about successful programming, and about harms/unintended consequences, in low- and middle-income countries (LMIC).
Design: Systematic review of reviews following Cochrane guidelines.
Synth Syst Biotechnol
June 2025
Department of Biotechnology, Manipal Institute of Technology (MIT), Manipal Academy of Higher Education (MAHE), Manipal, 576104, Karnataka, India.
As synthetic biology advances, the necessity for robust biocontainment strategies for genetically engineered organisms (GEOs) grows increasingly critical to mitigate biosafety risks related to their potential environmental release. This paper aims to evaluate environment signal-dependent biocontainment systems for engineered organisms, focusing specifically on leveraging triggered responses and combinatorial systems. There are different types of triggers-chemical, light, temperature, and pH-this review illustrates how these systems can be designed to respond to environmental signals, ensuring a higher safety profile.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!