Transition to competency-based medical education is a highly challenging endeavor. Students, teachers and institutions need curricular transparency for understanding the build-up of competencies in terms of coverage, sequence and consistence of learning objectives and assessment. The project aim was to develop and implement a web-based interactive platform for curriculum mapping, diagnostics, and development. The tool should be transferable to other faculties and allow description and visualization of medical curricula in comparison to given national competency-based standards. In a design-based multi-center approach, four German medical faculties cooperated and developed a standardized, common mapping tool (MER database). Implemented are techniques for big data handling and visual analytics. The platform profile is adapted closely to user needs. Intuitive data entry and comfortable quality maintenance support teacher engagement. Individual navigation for curricular diagnostics is guided by practice-oriented questions. Sophisticated, easy-understandable visualizations show curricular strengths and weaknesses. Transparency in contributing departments facilitates goal-oriented dialogs. Currently, 14 of 38 German faculties use the platform. In view of huge amounts of data and complex curricular structures, the MER database facilitates effective curriculum mapping, goal-oriented curriculum development, comparison to national competency-based standards, effective data sharing and benchmarking across faculties with different curriculum management systems.
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http://dx.doi.org/10.1080/0142159X.2018.1487047 | DOI Listing |
Sci Rep
December 2024
Trauma Nursing Research Center, Kashan University of Medical Sciences, Kashan, Iran.
This study aimed to investigate comfort and its related factors in clinical nurses working in teaching hospitals of Kashan University of Medical Sciences in Iran. In this cross-sectional study, 300 nurses were selected by stratified random sampling method (2022). Data were collected using the Persian version of the nurse comfort questionnaire and a questionnaire of possible related factors.
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December 2024
Medical Genomics Research Department, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.
In order to plan and facilitate the culture of personalized / precision medicine in medical practices within any healthcare institution, it is requisite for healthcare professionals like clinicians to have a clear understanding and approach towards the practices of personalized genetic testing. This nationwide cross-sectional study aimed to measure the perceptions and knowledge of clinicians towards personalized genetic testing and assess their current practices of personalized genetic testing in clinical settings through an online self-administered questionnaire in Saudi Arabia. The results of the study revealed that almost two-fifths of participants were responsible for ordering genetic tests directly (39.
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December 2024
Department of Dermatology, Niazi Hospital, Lahore, Pakistan.
With breakthroughs in Natural Language Processing and Artificial Intelligence (AI), the usage of Large Language Models (LLMs) in academic research has increased tremendously. Models such as Generative Pre-trained Transformer (GPT) are used by researchers in literature review, abstract screening, and manuscript drafting. However, these models also present the attendant challenge of providing ethically questionable scientific information.
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December 2024
Department of Pathology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Micropapillary adenocarcinoma (MPC) is an aggressive histological subtype of lung adenocarcinoma (LUAD). MPC is composed of small clusters of cancer cells exhibiting inverted polarity. However, the mechanism underlying its formation is poorly understood.
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December 2024
Kombolcha Institute of Technology, Wollo University, Dessie, Ethiopia.
Alcohol-based fuels have shown high compatibility with spark-ignition (SI) engines, which require improvements in fuel efficiency and emissions reduction to meet modern environmental standards. While extensive research has been conducted on ethanol and other lower-order alcohols, there has been comparatively limited investigation into higher-order alcohols like butanol and pentanol as fuel alternatives. Previous studies on pentanol-gasoline blends in SI engines have demonstrated improved engine performance and reduced emissions.
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