The ubiquity of EHRs in healthcare means that small EHR inefficiencies can have a major impact on clinician workload. We conducted a sequential explanatory mixed methods study to: 1) identify EHR-associated workload and usability effects for clinicians following an EHR change over time, 2) determine workload and usability differences for providers (MD and Advance Practice Nurses) versus nurses (RNs and MAs), 3) determine if usability predicts workload, 4) identify potential sources of EHR design flaws. Workload (NASA-Task Load Index) and usability (System Usability Scale) measures were administered pre, 6-8 month and 30-32 months post-implementation. We found significant increase in perceived workload post-implementation that persisted for 2.5 years (p < .001). The workload increase was associated with usability ratings, which in turn may relate to EHR interface design violations identified by a heuristic evaluation. Our findings suggest further innovation and attention to interface design flaws are needed to improve EHR usability and reduce clinician workload.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.apergo.2021.103359 | DOI Listing |
Healthc Technol Lett
December 2024
ITI/LARSyS Hub Criativo do Beato Factory Lisbon Lisboa Portugal.
Deep inferior epigastric artery perforator flap reconstruction is a common technique for breast reconstruction surgery in cancer patients. Preoperative planning typically depends on radiological reports and 2D images to help surgeons locate abdominal perforator vessels before surgery. Here, BREAST+, an augmented reality interface for the HoloLens 2, designed to facilitate accurate marking of perforator locations on the patients' skin and to seamlessly access relevant clinical data in the operating room is proposed.
View Article and Find Full Text PDFHealthc Technol Lett
December 2024
ITI/LARSyS, Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal.
A thorough understanding of surgical anatomy is essential for preparing and training medical students to become competent and skilled surgeons. While Virtual Reality (VR) has shown to be a suitable interaction paradigm for surgical training, traditional anatomical VR models often rely on simple labels and arrows pointing to relevant landmarks. Yet, studies have indicated that such visual settings could benefit from knowledge maps as such representations explicitly illustrate the conceptual connections between anatomical landmarks.
View Article and Find Full Text PDFSci Data
December 2024
Shanghai Jiaotong University School of Medicine, Shanghai, China.
Edible oil may be mixed with tiny solid impurities like raw material fragments, hair, metal fragments and etc. during the production and manufacturing process. For food safety reasons, these tiny impurities need to be detected in the quality control process.
View Article and Find Full Text PDFDespite research supporting the efficacy of Automated Writing Evaluation (AWE) in improving writing outcomes, inconsistent implementation by teachers raises concerns about the efficacy of these systems in practice. However, little is known about what factors influence teachers' implementation and perceptions of AWE. This study examined the relationship between teachers' implementation and perceptions of the MI Write AWE system, seeking to identify actionable factors that could enhance AWE implementation and acceptance in the future.
View Article and Find Full Text PDFBMC Glob Public Health
December 2024
Department of Public Health and Primary Care, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA, The Netherlands.
Background: Paediatric critical care nurses face challenges in promptly detecting patient deterioration and delivering high-quality care, especially in low-resource settings (LRS). Patient monitors equipped with data-driven algorithms that monitor and integrate clinical data can optimise scarce resources (e.g.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!