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Record W3131634498 · doi:10.24926/jrmc.v4i1.3564

Creating a Healthcare Entrepreneurship Teaching Program for Medical Students

2021· article· en· W3131634498 on OpenAlex
Aida Ahrari, Pawandeep Sandhu, Dante Morra, Sarah McClennan, Alison Freeland

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Regional Medical Campuses · 2021
Typearticle
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsTrillium Health CentreUniversity of Toronto
Fundersnot available
KeywordsEntrepreneurshipCurriculumMedical educationHealth careThematic analysisProduct (mathematics)PsychologyMedicineSociologyPedagogyQualitative researchBusinessPolitical science

Abstract

fetched live from OpenAlex

Introduction: The future of healthcare hinges on effective adoption of innovative solutions. Arguably, physicians are ideally positioned to propel clinical innovation given their firsthand experience with healthcare challenges; however, physicians often lack the necessary skills in innovation development and implementation methodology. The gap is partly a result of the paucity of exposure to innovation and entrepreneurship concepts within medical education and postgraduate training. To address this gap, the University of Toronto’s distributed medical education campus in Mississauga created a novel teaching initiative designed to impart themes of healthcare entrepreneurship to early stage medical learners. Methods: To inform the design of the program, the authors conducted a series of semi-structured interviews with key stakeholders, including physician entrepreneurs, innovation leaders, curriculum specialists and medical students. Using thematic analysis, key recommendations were extracted regarding learning objectives, approach to program delivery, and anticipated outcomes. A well-established entrepreneurial teaching model, the MaRS Entrepreneurship Framework, was adapted to frame the curricular content to the needs of medical learners. The resulting educational product consisted of six sessions, taught by subject matter experts, which outlined a methodological approach to the development of a medical start-up as a means of launching an innovation. Results: From November 2019 to May 2020, six sessions were held with a total of 37 unique attendees. The authors found that the series generated interest in entrepreneurship among medical students while fostering an appreciation for the basic principles of entrepreneurship. Conclusion: The next stage involves further program evaluation to guide the next iteration of the program. Potential avenues for growth include delivering the series virtually to support greater student accessibility. Future considerations include incorporating entrepreneurship into core undergraduate medical curricula and creating a dual degree program in medicine and entrepreneurship that cater to students with a deep interested in the field of healthcare entrepreneurship. Disclosure: The authors have no conflict of interest to declare. As all data were completely anonymized and no patients were involved, this was not reviewed by an ethics board.

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.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.832
Threshold uncertainty score0.452

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.021
GPT teacher head0.333
Teacher spread0.312 · 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