Healthcare executives’ readiness for a performance measurement system: a rehabilitation hospital case study
Bibliographic record
Abstract
The literature on organizational change identifies readiness as an important factor for understanding the outcome of implementation. In the context of implementing a performance measurement system (PMS) in a rehabilitation hospital, we conducted a case study to gain an in-depth understanding of the factors that might impede or facilitate readiness to use a PMS. Two data sources were used: key informant interviews with healthcare executives and official organizational documents. Our results indicate that healthcare executives’ readiness for a PMS was high. This state of readiness is influenced by 12 factors that were classified into three main themes: (1) adopters’ attributes, (2) PMS attributes, and (3) organizational attributes. These results are consistent with change management theory as well as the findings of recent empirical research. In the context of implementing a PMS, a readiness assessment can help identify organizational strengths and weaknesses so that strategies necessary for successful implementation can be developed.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".