IUHW School of Medicine: overview of the six-year journey of an innovative, international new medical school in Japan
Notice bibliographique
Résumé
International University of Health and Welfare (IUHW) School of Medicine opened in April 2017, 38 years after the government ban on the establishment of new medical schools in Japan. This new medical school was founded in order to educate the next generation of physicians who can contribute to the improvement of the health and welfare of the global community. Six years later, IUHW School of Medicine just graduated its first class in March 2023. IUHW School of Medicine distinguished itself from the other 81 medical schools in Japan in many aspects: teaching medicine in English for the first time in Japan, creating an international learning environment by actively welcoming international students and offering rich English and Japanese language programs, providing ample opportunities for students to learn and practice advanced communication skills in both English and in Japanese from the very beginning of medical school, and providing a curriculum that encourages students to become active learners which is a necessary attitude for life-long learning. This new medical school and its curriculum will not truly bear fruit for another 10, maybe 20 years. However, at the time of the graduation of its first class, there are at least 3 objective outcomes for evaluation: the percentage of students passing the Japanese National Medical Licensure Exam, including for the international students most of whom arrived in Japan six years ago with no Japanese language ability; post-Clinical Clerkship OSCE (Objective Structured Clinical Examination) English medical interview exam results evaluated only by external evaluators from the US, Canada, and the UK; and the number of students who passed the USMLE (United States Medical Licensing Examination) board exams. These results indicate that this innovative and ambitious medical education did accomplish its intended results so far. IUHW School of Medicine was able to achieve 99.2% passing rate for the Japanese National Medical Licensure Exam, with a 100% passing rate among international students. Senior students received excellent external evaluations by US, Canadian, and UK clinical educators for their medical interviewing skills in English, which includes not only clinical knowledge and reasoning abilities but also English language and communication skills to build good rapport with patients. So far, 20 students passed the USMLE Step 1 and four students also passed Step 2 (as of June, 2023). The passing rate for both Step 1 and 2 was 100%. Looking at the trajectory of this new school so far, including the fact that the graduates seem to be equipped with active learning skills gained through many small groups and team-based learning during their medical education, we believe that the graduates of IUHW School of Medicine will indeed improve the health and welfare of the global community, especially that of Asia, in the decades to come.
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 | 0,004 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,006 | 0,001 |
| Communication savante | 0,006 | 0,004 |
| Science ouverte | 0,001 | 0,010 |
| Intégrité de la recherche | 0,003 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,025 | 0,010 |
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 ».