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Record W4296476687 · doi:10.1136/gutjnl-2022-basl.45

OP32 Modernising Hepatology training: An international comparison of the current and new 2022 UK Hepatology curriculum

2022· article· en· W4296476687 on OpenAlexaboutno aff
James Liu Yin, William J. Griffiths, Debbie L. Shawcross, Michael A. Heneghan, Aftab Ala

Bibliographic record

VenueAbstracts · 2022
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsHepatologyInternal medicineMedicineCurriculumMedical educationMedical physicsPolitical science

Abstract

fetched live from OpenAlex

Introduction The last Gastroenterology training curriculum was published in 2010 with amendments made in 2013, forming the basis for Hepatology training in the UK. Hepatology was established with a specific national training scheme in 2004 and later formally recognised by the Royal College of Physicians in 2005 as a sub-speciality. Internationally there are significant collaborations in Hepatology with the development of guidelines and research. In parts of Europe there is a shared common curriculum as well as exit examination for Hepatology trainees. We compared international Hepatology curriculae with the 2022 and current UK curriculum to assess key similarities and whether proposed training can be standardised as a model to an international level. Methods We reviewed current adult curriculums which are available from national training programmes or local centres in the United Kingdom, North America, Australia and India. We compared qualifications, length of training, application system, procedural competency, assessment and curriculum competencies. Results Key differences between the 2022 and current curriculum are the inclusion of updated conditions (e.g acute on chronic liver failure), emphasis on palliative care in end stage liver disease, knowledge of mechanisms required in care (e.g Operational delivery networks) and removal of specific experience of patients in level3 care. It also shifts the focus of assessment to evaluate competencies in practice. All countries except India require Gastroenterology training and only the UK, USA and India have national applications. The length of time of fellowships ranges from 12 to 36 months and currently only the USA and India have Hepatology specific exit examinations. The new 2022 UK curriculum is similar in nature to that in the USA, Canada, Australia and India. These curriculae all share the majority of core components with subtle differences. Procedural competencies have not changed and still comprise paracentesis without the inclusion of biopsy or ultrasound that are still required in other countries. Conclusion The new 2022 UK Hepatology curriculum encompasses previous core components but is more descriptive in the training requirements, including the need to understand how the NHS system delivers treatment, modern terminology and highlights the need for health promotion. This curriculum is in keeping with other current international curriculae and whilst it is not as prescriptive as the US curriculum, it is similar in design to other countries. By building on existing principles and updating them, it should help create a training system which will keep trainees’ knowledge, competitive with their international counterparts.

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)0.007
metaresearch head score (Gemma)0.020
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.169
GPT teacher head0.473
Teacher spread0.304 · 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
GenreOther

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".

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Citations0
Published2022
Admission routes1
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