Background: The integration of Electronic Health Records (EHRs) in healthcare has changed how healthcare is performed, necessitating a comprehensive understanding of these systems among pharmacists. The ability to navigate EHRs is crucial for pharmacy students' success in introductory and advanced pharmacy practice experiences (IPPEs and APPEs). This manuscript describes the development and use of an EHR training environment in an APPE-readiness course.
Educational Activity: We developed an APPE-readiness course integrating a comprehensive longitudinal patient case within the Epic EHR training environment. The course was designed for third-year pharmacy students in their final didactic semester, focusing on practical skills and the Pharmacists' Patient Care Process (PPCP). Using a fictitious patient with multiple chronic conditions, students engaged in a variety of activities, including data collection, problem assessment, care plan creation, literature and guideline application, and communication using the SBAR technique. The course aimed to transition classroom knowledge into practical skills, assessed individually through application-based exams and quizzes.
Critical Analysis Of The Educational Activity: The course required significant initial resource investment but demonstrated benefits in student perceptions of preparedness. Student feedback indicated a desire for more group work and advanced learning options for quicker learners. Adjustments were made in the second course year, including modifications to the patient case and incorporation of resident instructors to help with the EHR training environment. Survey results showed improvements in students' self-assessed skills and confidence in their APPE readiness in both class years.
Conclusions: The EHR-based capstone course effectively increased students' confidence and preparedness for APPEs, highlighting the value of practical, longitudinal case-based learning. Our work supports the integration of EHR training in pharmacy curricula to enhance APPE-readiness. Other institutions can use similar EHR training environment tools in their curricula.
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http://dx.doi.org/10.1016/j.cptl.2024.102273 | DOI Listing |
BMC Nutr
December 2024
Department of Food Science and Postharvest Technology, Faculty of Agriculture and Environment, Gulu University, P.O. Box 166, Gulu, Uganda.
Background: Globally, iron deficiency anaemia is a widespread public health problem affecting vulnerable populations including adolescents. However, over the years, the Uganda Demographic Health Surveys mostly report the status of anaemia for women of reproductive age (15-49 years) and children up to 5 years, leaving out the focus on adolescents. Moreover, high prevalence of anaemia among children below five years could suggest that anaemia still persists at adolescence.
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December 2024
Epsom General Hospital, Epsom and St Helier University Hospitals NHS, Epsom, United Kingdom.
Background: Experimental and clinical studies have suggested that symbiotics might effectively manage type 2 diabetes mellitus (T2DM) by modulating the intestinal microbiota. However, these studies' limited sources, small sample sizes, and varied study designs have led to inconsistent outcomes regarding glycaemic control. This study aimed to investigate the effects of symbiotics on the anthropometric measures, glycaemic control, and lipid profiles of patients with T2DM.
View Article and Find Full Text PDFTo achieve carbon neutrality, solar photovoltaic (PV) in China has undergone enormous development over the past few years. PV datasets with high accuracy and fine temporal span are crucial to assess the corresponding carbon reductions. In this study, we employed the random forest classifier to extract PV installations throughout China in 2015 and 2020 using Landsat-8 imagery in Google Earth Engine.
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December 2024
Department of Orthopedics, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, 151203, India.
Generative Artificial Intelligence (AI), characterized by its ability to generate diverse forms of content including text, images, video and audio, has revolutionized many fields, including medical education. Generative AI leverages machine learning to create diverse content, enabling personalized learning, enhancing resource accessibility, and facilitating interactive case studies. This narrative review explores the integration of generative artificial intelligence (AI) into orthopedic education and training, highlighting its potential, current challenges, and future trajectory.
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December 2024
Department of Computer Engineering, Bonab Branch, Islamic Azad University, Bonab, Iran.
Background: Academic adjustment significantly influences the progress of nursing students. Understanding clinical education environments can profoundly affect students' academic adjustment. This study aims to determine nursing students' perception of the clinical learning environment and its relationship to academic adjustment.
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