Der Nationale Kompetenzbasierte Lernzielkatalog Medizin NKLM 2.0 – Auswirkungen auf die Lehre in der Augenheilkunde

Feltgen, Nicolas; Bartz‐Schmidt, Karl Ulrich; Beyer, Tabea; Hedergott, Andrea; Holz, Frank G.; Käsmann‐Kellner, Barbara; Lauermann, Jost Lennart; Maier, Philip; Mercieca, Karl; Pitz, Susanne; Plange, Niklas; Salchow, Daniel J.; Schmack, Ingo; Stahl, Andreas; Stasik, Isabel

doi:10.1007/s00347-022-01753-w

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…The NKLM serves as a comprehensive framework defining the expected learning outcomes for undergraduate medical education in German. It is structured around various competency domains in medical practice, including medical expertise and patient communication [ 17 ]. Within each domain, the NKLM specifies a detailed set of learning objectives that medical students are expected to achieve during their undergraduate studies.…”

Section: Introductionmentioning

confidence: 99%

Exploring the current state of clinical and practical teaching in obstetrics and gynecology in the era of competency-based education: a nationwide survey among German teaching coordinators

Meyer,

Riedel,

Amann

et al. 2024

BMC Med Educ

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Background Obstetrics and gynecology (OB/GYN) is an essential medical field that focuses on women’s health. Universities aim to provide high-quality healthcare services to women through comprehensive education of medical students. In Germany, medical education is undergoing a phase of restructuring towards the implementation of competency-based learning. The objective of the current survey was to gain insights into the teaching methods, resources, and challenges at German medical universities in the field OB/GYN. This aims to document the current state of medical education and derive potential suggestions for improvements in the era of competency-based learning. The survey was conducted with teaching coordinators from the majority of OB/GYN departments at German universities. Methods A questionnaire was sent to the teaching coordinators in all 41 OB/GYN departments at German university hospitals. The survey was delivered via email with a link to an online survey platform. Results The study received 30 responses from 41 universities. Differences were observed in the work environment of teaching coordinators concerning release from clinical duties for teaching purposes and specialized academic training. Overall, medical education and student motivation were perceived positively, with noticeable gaps, particularly in practical gynecological training. Deficiencies in supervision and feedback mechanisms were also evident. Subfields such as urogynecology and reproductive medicine appear to be underrepresented in the curriculum, correlating with poorer student performance. E-learning was widely utilized and considered advantageous. Conclusion The present study provides valuable insights into the current state of medical education in OB/GYN at German universities from the perspective of teaching experts. We highlight current deficits, discuss approaches to overcome present obstacles, and provide suggestions for improvement.

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Section: Introductionmentioning

confidence: 99%

Exploring the current state of clinical and practical teaching in obstetrics and gynecology in the era of competency-based education: a nationwide survey among German teaching coordinators

Meyer,

Riedel,

Amann

et al. 2024

BMC Med Educ

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DOG-EyeTeacher: eine Antwort der Arbeitsgemeinschaft Lehre auf die Umstrukturierungen im Medizinstudium

Stasik,

Feltgen,

Plange

et al. 2024

Ophthalmologie

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Zusammenfassung Hintergrund Der 2017 verabschiedete Masterplan Medizin 2020 sieht viele Veränderungen im Medizinstudium vor. Auch die Lehrinhalte und Unterrichtsschwerpunkte werden von den Neustrukturierungen betroffen sein. Ein Ziel ist es, die Studierenden kompetenzorientiert auf ihre zukünftige Aufgabe als Ärztinnen und Ärzte vorzubereiten. Der NKLM (Nationaler Kompetenzbasierter Lernzielkatalog Medizin) bildet hierbei die Basis der zukünftig zu unterrichtenden Lehrinhalte. Methoden Die Arbeitsgemeinschaft Lehre der DOG hat sich zur Aufgabe gemacht, diese Umstrukturierungen aktiv zu begleiten. In einer standortübergreifenden Zusammenarbeit wurden zur Unterstützung der Lehrenden und auf der Grundlage des NKLM Lehrmaterialien für verschiedene Unterrichtsformate zusammengestellt (z. B. Folien für den Kleingruppenunterricht, Operationsmitschnitte, Bildergalerien, Fallbeispiele) und anschließend in einer Online-Bibliothek, DOG-EyeTeacher genannt, zusammengeführt. Ergebnisse Der DOG-EyeTeacher soll die Lehrenden an den Universitäten und ihren Ausbildungskliniken unterstützen, den Qualitätsstandard inhaltlicher Schwerpunkte angleichen, den allseitigen Dialog über die Lehre in der Augenheilkunde fördern und gleichzeitig der Lehre als wichtiger Säule des universitären Dreiklangs in der Medizin mehr Gewicht verleihen. Langfristig soll durch die Bereitstellung ansprechender und zeitgemäßer Lehrmaterialien das Interesse angehender Ärztinnen und Ärzte am Fach Ophthalmologie gesteigert werden. Schlussfolgerung Der DOG-EyeTeacher stellt eine Antwort der Arbeitsgemeinschaft Lehre der DOG auf die mit der geplanten Neustrukturierung des Medizinstudiums einhergehenden Herausforderungen dar. Jedes lehrinteressierte DOG-Mitglied kann sich seit Oktober 2023 kostenfrei einen Account erstellen und die Lehrmaterialien nutzen.

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Chatbots for future docs: exploring medical students’ attitudes and knowledge towards artificial intelligence and medical chatbots

Moldt

Loda

Mamlouk³

et al. 2023

Medical Education Online

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Artificial intelligence (AI) in medicine and digital assistance systems such as chatbots will play an increasingly important role in future doctor – patient communication. To benefit from the potential of this technical innovation and ensure optimal patient care, future physicians should be equipped with the appropriate skills. Accordingly, a suitable place for the management and adaptation of digital assistance systems must be found in the medical education curriculum. To determine the existing levels of knowledge of medical students about AI chatbots in particular in the healthcare setting, this study surveyed medical students of the University of Luebeck and the University Hospital of Tuebingen. Using standardized quantitative questionnaires and qualitative analysis of group discussions, the attitudes of medical students toward AI and chatbots in medicine were investigated. From this, relevant requirements for the future integration of AI into the medical curriculum could be identified. The aim was to establish a basic understanding of the opportunities, limitations, and risks, as well as potential areas of application of the technology. The participants ( N = 12) were able to develop an understanding of how AI and chatbots will affect their future daily work. Although basic attitudes toward the use of AI were positive, the students also expressed concerns. There were high levels of agreement regarding the use of AI in administrative settings (83.3%) and research with health-related data (91.7%). However, participants expressed concerns that data protection may be insufficiently guaranteed (33.3%) and that they might be increasingly monitored at work in the future (58.3%). The evaluations indicated that future physicians want to engage more intensively with AI in medicine. In view of future developments, AI and data competencies should be taught in a structured way during the medical curriculum and integrated into curricular teaching.

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Der Nationale Kompetenzbasierte Lernzielkatalog Medizin NKLM 2.0 – Auswirkungen auf die Lehre in der Augenheilkunde

Cited by 3 publications

References 6 publications

Exploring the current state of clinical and practical teaching in obstetrics and gynecology in the era of competency-based education: a nationwide survey among German teaching coordinators

Exploring the current state of clinical and practical teaching in obstetrics and gynecology in the era of competency-based education: a nationwide survey among German teaching coordinators

DOG-EyeTeacher: eine Antwort der Arbeitsgemeinschaft Lehre auf die Umstrukturierungen im Medizinstudium

Chatbots for future docs: exploring medical students’ attitudes and knowledge towards artificial intelligence and medical chatbots

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