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Record W4409312621 · doi:10.1136/leader-2024-001098

Teaching health systems leadership and innovation to physicians

2025· article· en· W4409312621 on OpenAlex
Savithiri Ratnapalan, Abi Sriharan, George Anderson, Isser Dubinsky, Benjamin T.B. Chan, Tina Smith, Sara Allin, Cristina Gabarron Lopez, Zoe Downie-Ross, Audrey Laporte

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.

Bibliographic record

VenueBMJ Leader · 2025
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsKrembil FoundationPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsSituational ethicsSituatedContext (archaeology)Medical educationFocus groupAutoethnographyNarrativeSituation analysisPedagogySociologyPublic relationsPsychologyMedicinePolitical scienceManagement

Abstract

fetched live from OpenAlex

BACKGROUND: A master's programme in Health Systems Leadership and Innovation was launched in 2016 to integrate health systems science and innovation management within the medical education continuum. OBJECTIVES: To identify faculty and staff perceptions of tailoring the programme to accommodate potential future learning needs as a continuous quality improvement initiative of the programme. METHODS: A combination of two qualitative research methodologies was used: (1) a situational analysis to explain context and (2) a collaborative autoethnographic approach to understand the evolution of the programme and future directions. Faculty and staff involved with the programme were invited to participate after obtaining institutional research ethics approval. In conducting a collaborative autoethnography, all authors are participants who narrate, analyse and theorise about their individual and or collective experiences. RESULTS: Nine faculty and three staff members narrated their perceptions of the programme. The situational analysis identified major internal and external actors, major processes and external actants relevant to the programme. It also outlined the multiple overlapping social arenas where the students, faculty and staff were situated through a social world map and differing positions of the authors with respect to the programme's future learners. The master narrative identified an urgent need for internal and external communications about the programme and to revisit course delivery methods. The authors were divided in their opinion as to whether the programme should continue to cater to undergraduate medical students or focus on physicians or have learners from multiple educational levels in the same class. CONCLUSIONS: The programme needs marketing, continuous course assessments and revisions to ensure visibility and relevance. The programme offers a flexible pathway for students at different stages in the career path from novice medical students to consultant physicians, and tensions related to the level of medical education hierarchy in the class are being managed by the faculty.

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)0.001
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: none
Teacher disagreement score0.636
Threshold uncertainty score0.338

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.093
GPT teacher head0.434
Teacher spread0.341 · 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