The Case to Discard Hospital Mission Statements and Replace It with A Statement of Goals
Bibliographic record
Abstract
Background: Hospitals and healthcare institutions spend a considerable amount of time and capital on constructing an appropriate mission statement for themselves. Methods: A review of the purpose of mission statements and the statements made by different healthcare organizations was undertaken. For institutions in the USA, their mission statements were examined in the context of their national ratings. Results: The mission statements of healthcare organizations are often too abstract, using similar phraseology about caring for patients. Concern for the community that the hospital serves is stated by both a hospital listed as one of the best US hospitals and an institution that was considered to be in the lowest tier in the same country. Similarly, the recognition of ‘research’ or ‘innovation and discovery’ was stated by respectively both a top institution in the USA and one in the bottom tier. Conclusions: Healthcare institutions should replace their mission statements with clear and attainable statements of concrete goals, and indicate how successful the institution is at attaining those goals and improving the experience of its patients and staff.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".