How healthcare organisations can act as institutional entrepreneurs in a context of change
Bibliographic record
Abstract
PURPOSE: The aim of this paper is to illustrate and discuss how healthcare organisations can act as institutional entrepreneurs in a context of change. DESIGN/METHODOLOGY/APPROACH: The authors conducted an in-depth longitudinal case study (2005-2008) of a healthcare organisation in the province of Quebec, Canada. Data collection consisted of real-time observations of senior managers (n = 87), interviews (n = 24) with decision-makers and secondary data analysis of documents. FINDINGS: The paper reports on the extent to which entrepreneurial healthcare organisations can be a driving force in the creation of a new practice. The authors analyse the development of a diabetes reference centre by a healthcare organisation acting as an institutional entrepreneur that illustrates the conceptualisation of an innovation and the mobilisation of resources to implement it and to influence other actors in the field. The authors discuss the case in reference to three stages of change: emergence, implementation and diffusion. The results illustrate the different strategies used by managers to advance their proposed projects. RESEARCH LIMITATIONS/IMPLICATIONS: This study helps to better understand the dynamics of mandated change in a mature field such as healthcare and the roles played by organisations in this process. By adopting a proactive strategy, a healthcare organisation can play an active role and strongly influence the evolution of its field. ORIGINALITY/VALUE: This paper is one of only a few to analyse strategies used by healthcare organisations in the context of mandated change.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".