MétaCan
Menu
Back to cohort
Record W2069665476 · doi:10.1177/1357633x0200800302

Videoconferencing for Continuing Medical Education: From Pilot Project to Sustained Programme

2002· review· en· W2069665476 on OpenAlexaffabout
Michael Allen, Joan Sargeant, Eileen MacDougall, Michelle Proctor-Simms

Bibliographic record

VenueJournal of Telemedicine and Telecare · 2002
Typereview
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsDalhousie University
Fundersnot available
KeywordsVideoconferencingContinuing professional developmentContinuing medical educationMedical educationDistance educationContinuing educationHealth professionalsMedicineProfessional developmentHealth careNursingPsychologyMultimediaComputer sciencePedagogyPolitical science

Abstract

fetched live from OpenAlex

Videoconferencing has been used to provide distance education for medical students, physicians and other health-care professionals, such as nurses, physiotherapists and pharmacists. The Dalhousie University Office of Continuing Medical Education (CME) has used videoconferencing for CME since a pilot project with four sites in 1995-6. Since that pilot project, videoconferencing activity has steadily increased; in the year 1999-2000, a total of 64 videoconferences were provided for 1059 learners in 37 sites. Videoconferencing has been well accepted by faculty staff and by learners, as it enables them to provide and receive CME without travelling long distances. The key components of the development of the videoconferencing programme include planning, scheduling, faculty support, technical support and evaluation. Evaluation enables the effect of videoconferencing on other CME activities, and costs, to be measured.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.904
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.070
GPT teacher head0.416
Teacher spread0.346 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations27
Published2002
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Telemedicine and TelecareSame topicInnovations in Medical EducationFrench-language works237,207