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      Defining Learning Outcomes as a Prerequisite of Implementing a Longitudinal and Transdisciplinary Curriculum with Regard to Digital Competencies at Hannover Medical School

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          Abstract

          Background:

          Worldwide educational programs face the challenge how to define and integrate digital competencies in medical education. This article describes the implementation of learning outcomes with respect to digital competencies in the compulsory curriculum at Hannover Medical School (MHH).

          Methods:

          An interdisciplinary MHH project group was constituted consisting of physicians and experts in medical informatics and in curriculum development. Over the course of 7 work sessions the group compared different international and national frameworks dealing with digital competencies for physicians. By a consensus driven approach the working group drew up a collection of learning outcomes which were regarded relevant to be incorporated in the curriculum at MHH.

          Results:

          The analysis of different frameworks indicated that data literacy is a central domain within all viewed preexisting catalogs. During the course of the project group analysis, 57 learning outcomes with respect to digital competencies were identified as necessary to be integrated in the compulsory curriculum. They were divided in 5 main categories: “handling of medical data,” “the digital infrastructure of the health system,” “scope of application: usage in patient care and in the field of preventive medicine,” “medico-legal and ethical basics,” and “transformation processes in medicine due to digitalization.”

          Conclusions:

          The MHH project group concluded that medical students should be taught digital competencies that enable an understanding of underlying functional principles of digital systems rather than their correct utilization. The presented project indicates that a close interdisciplinary collaboration of physicians and medical informaticians can be a promising approach to incorporate digital competencies in the undergraduate medical curriculum.

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          Most cited references29

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          Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study

          The 2019 novel coronavirus (renamed SARS-CoV-2, and generally referred to as the COVID-19 virus) has spread to 184 countries with over 1.5 million confirmed cases. Such major viral outbreaks demand early elucidation of taxonomic classification and origin of the virus genomic sequence, for strategic planning, containment, and treatment. This paper identifies an intrinsic COVID-19 virus genomic signature and uses it together with a machine learning-based alignment-free approach for an ultra-fast, scalable, and highly accurate classification of whole COVID-19 virus genomes. The proposed method combines supervised machine learning with digital signal processing (MLDSP) for genome analyses, augmented by a decision tree approach to the machine learning component, and a Spearman’s rank correlation coefficient analysis for result validation. These tools are used to analyze a large dataset of over 5000 unique viral genomic sequences, totalling 61.8 million bp, including the 29 COVID-19 virus sequences available on January 27, 2020. Our results support a hypothesis of a bat origin and classify the COVID-19 virus as Sarbecovirus, within Betacoronavirus. Our method achieves 100% accurate classification of the COVID-19 virus sequences, and discovers the most relevant relationships among over 5000 viral genomes within a few minutes, ab initio, using raw DNA sequence data alone, and without any specialized biological knowledge, training, gene or genome annotations. This suggests that, for novel viral and pathogen genome sequences, this alignment-free whole-genome machine-learning approach can provide a reliable real-time option for taxonomic classification.
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            The CanMEDS initiative: implementing an outcomes-based framework of physician competencies.

            Outcomes-based education in the health professions has emerged as a priority for curriculum planners striving to align with societal needs. However, many struggle with effective methods of implementing such an approach. In this narrative, we describe the lessons learned from the implementation of a national, needs-based, outcome-oriented, competency framework called the CanMEDS initiative of The Royal College of Physicians and Surgeons of Canada. We developed a framework of physician competencies organized around seven physician "Roles": Medical Expert, Communicator, Collaborator, Manager, Health Advocate, Scholar, and Professional. A systematic implementation plan involved: the development of standards for curriculum and assessment, faculty development, educational research and resources, and outreach. Implementing this competency framework has resulted in successes, challenges, resistance to change, and a list of essential ingredients for outcomes-based medical education. A multifaceted implementation strategy has enabled this large-scale curriculum change for outcomes-based education.
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              Is Open Access

              eHealth Literacy Among College Students: A Systematic Review With Implications for eHealth Education

              Background eHealth literacy refers to the ability of individuals to seek, find, understand, and appraise health information from electronic resources and apply such knowledge to addressing or solving a health problem. While the current generation of college students has access to a multitude of health information on the Internet, access alone does not ensure that students are skilled at conducting Internet searches for health information. Ensuring that college students have the knowledge and skills necessary to conduct advanced eHealth searches is an important responsibility particularly for the medical education community. It is unclear if college students, especially those in the medical and health professions, need customized eHealth literacy training for finding, interpreting, and evaluating health- and medical-related information available on the Internet. Objective The objective of our review was to summarize and critically evaluate the evidence from existing research on eHealth literacy levels among college students between the ages of 17 and 26 years attending various 4-year colleges and universities located around the world. Methods We conducted a systematic literature review on numerous scholarly databases using various combinations of relevant search terms and Boolean operators. The records were screened and assessed for inclusion in the review based on preestablished criteria. Findings from each study that met inclusion criteria were synthesized and summarized into emergent themes. Results In the final review we analyzed 6 peer-reviewed articles and 1 doctoral dissertation that satisfied the inclusion criteria. The number of participants in each reviewed study varied widely (from 34 to 5030). The representativeness of the results from smaller studies is questionable. All studies measured knowledge and/or behaviors related to college student ability to locate, use, and evaluate eHealth information. These studies indicated that many college students lack eHealth literacy skills, suggesting that there is significant room for improvement in college students’ ability to obtain and evaluate eHealth information. Conclusion Although college students are highly connected to, and feel comfortable with, using the Internet to find health information, their eHealth literacy skills are generally sub par. College students, especially in the health and medical professions, would be well served to receive more customized college-level instruction that improves general eHealth literacy.
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                Author and article information

                Journal
                J Med Educ Curric Dev
                J Med Educ Curric Dev
                MDE
                spmde
                Journal of Medical Education and Curricular Development
                SAGE Publications (Sage UK: London, England )
                2382-1205
                21 July 2021
                Jan-Dec 2021
                : 8
                : 23821205211028347
                Affiliations
                [1 ]Dean’s Office, Hannover Medical School, Hannover, Germany
                [2 ]Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany
                Author notes
                [*]Nilufar Foadi, Dean’s Office, Hannover Medical School, Carl-Neuberg Strasse 1, Hannover 30625, Germany. Email: foadi.nilufar@ 123456mh-hannover.de
                Author information
                https://orcid.org/0000-0001-9705-5144
                Article
                10.1177_23821205211028347
                10.1177/23821205211028347
                8299879
                34368455
                9a4be819-fcc2-4d18-88ad-cb6293b52f9a
                © The Author(s) 2021

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 23 March 2021
                : 9 June 2021
                Funding
                Funded by: The project “DigiWissMed” is funded by the Ministry for Science and Culture of Lower Saxony within the promotional program “Quality plus – a program for developing tomorrow’s studies.”, ;
                Categories
                Methodology
                Custom metadata
                January-December 2021
                ts1

                digital transformation,digital competencies,medical informatics,undergraduate medical education,compulsory curriculum

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