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Record W7143928457 · doi:10.69203/iuhw282.13

IUHW School of Medicine: overview of the six-year journey of an innovative, international new medical school in Japan

2023· article· en· W7143928457 on OpenAlexaboutno aff
Haruko Akatsu

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2023
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsGraduation (instrument)CurriculumMedical schoolGovernment (linguistics)WelfareLicensure

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0060.001
Scholarly communication0.0060.004
Open science0.0010.010
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0250.010

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.092
GPT teacher head0.461
Teacher spread0.370 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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