Transforming Healthcare Organizations Looking Back to See the Future
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.
Bibliographic record
Abstract
he preceding papers in this issue of Healthcare Quarterly provide a "how-to" guide to mounting a complex, across-the-organization change, and also reveal the unique perspectives of the different professional groups involved in the change. In addition, the paper "Executive Perspective: The Business Case for Patient Safety" (see p. 20 in this issue) reveals how the University Health Network's (UHN) Executive Team came to the decision to pursue the specific Medication Order Entry/Medication Administration Record (MOE/MAR) initiative. Each paper in this issue of HQ ended with "Lessons Learned" unique to each UHN leader's perspective. In contrast, this paper looks back on the five-year initiative, from all perspectives, in order to provide a final set of observations for organizations considering the implementation of a MOE/MAR-type project. More generally, this paper speaks to healthcare leaders who are contemplating significant changes in their organizations.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it