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Record W1837224005 · doi:10.5430/jha.v4n5p52

Redefining clinical leadership for team-course development

2015· article· en· W1837224005 on OpenAlexvenueno aff
Øystein E. Olsen, Sissel Eikeland Husebø, Sigrun Anna Qvindesland, Helge Lorentzen

Bibliographic record

VenueJournal of Hospital Administration · 2015
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsFormative assessmentContext (archaeology)Set (abstract data type)Quality (philosophy)Value (mathematics)Health careWorkforceCurriculumMedicinePsychologyMedical educationNursingPublic relationsKnowledge managementPolitical scienceComputer sciencePedagogy

Abstract

fetched live from OpenAlex

Objective: Value choices are rooted in the philosophical deliberations of Aristotle, Levinas and Gadamer. Balancing the needs of “the other” with societal and institutional needs to meet the objectives of “the cause” is core to the modern health systems priority setting debate. These value conflicts present themselves bed-side in the day-to-day decision-making processes. A clinical leadership (CL) framework should present solutions to this challenge.Methods: The definition of CL is redefined to include four key values involved in this value conflict. These are 1) trust, 2) quality, 3) responsiveness and 4) efficiency. A CL in Teams course curriculum and design was developed to link these values to tools and to context in the hospital.Results: A new definition of CL has provided a common formative framework useful in clinical settings for priority setting, evaluation and professional development. By the end of 2015 a total of 82 participants will have completed the course. It has been evaluated to be timely, feasible, flexible, relevant and sustainable.Conclusions: Values influence how clinical leaders operate and have an important impact on their leadership abilities and how they respond to challenges. For clinical leaders and teams to work effectively it is crucial to develop common basic values. Developing a set of tools and reflective practice to understand the inter-relationship between values and how they can conflict or reinforce each other, contributes to improved quality of service, patient-centred care and workforce satisfaction.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.244
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
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 integrity0.0000.000
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 head0.173
GPT teacher head0.430
Teacher spread0.256 · 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.

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

Citations3
Published2015
Admission routes1
Has abstractyes

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