ODP358 The effect of multi-cultural inter-facility endocrine video case conferencing – A novel model of education during the COVID pandemic
Notice bibliographique
Résumé
Abstract Introduction Coronavirus disease 2019 (COVID-19) pandemic brought not only physical and mental health problems but also negative impacts on social, economic and educational activities. Trainees, including medical students, residents, and clinical fellows had fewer opportunities to see and discuss patients with supervisors in person. In contrast, recent advances in technology have made it possible to review cases with overseas experts through online conferences. We launched a biannual inter-facility endocrine case review meeting in a video conference format during the pandemic of COVID-19. Here we present the format of our inter-facility online case conference and its impact on trainees. Methods The conference was organized by clinical faculty members from Japan, USA and Canada. For each conference, each facility prepared one to two cases in English. Four to five cases were presented and discussed with participants and guest commentators. After completion of the 4th conference, an anonymous multiple-choice online survey was administered to all attendees, and data was collected and analyzed by the committee members. Differences in responses before and after attendance were analyzed by paired t-test. Results Four conferences were held between July/31/2020, and Dec/10/2021 (CST). The facilities participating was as follows: University of Minnesota, Hokkaido Univ., University of Alberta, and Kobe Univ. Participants included medical students, residents, endocrine fellows, and faculty. Presenters were medical students (n=1), endocrine fellows (n=15), and neurosurgery faculty (n=1). Presented topics included the following: 11 cases with pituitary disorders, 3 cases with neuroendocrine tumors, 2 cases with adrenal disorders and 1 case of thyroid disorder. Sixty-two percent of the attendees stated that 3-4 facilities are an ideal size of the collaborations in inter-facility case conference, and 82% of the attendees felt twice a year is an appropriate frequency of the conference. Ninety-seven percent of the participants indicated their willingness to continue to attend. The survey results also revealed that the conference has a positive impact on trainees’ clinical practice and career development. Furthermore, the confidence in presenting skills in English significantly increased after the conference (p<0. 01). Conclusion Under the COVID-19 pandemic, we launched a new format of inter-institutional case review meeting using a video conferencing system that transcends national boundaries. This represents a new educational method for trainees. A small-scale (3-4 facilities) international collaboration in a video format may provide opportunities for learning rare endocrine cases, cultural diversity of endocrine care, enhanced active learning for trainees, and the opportunity for international presentation. This may lead to the development of a novel educational system in the future. Presentation: No date and time listed
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,027 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».