Developing a Strategy for the Improvement in Patient Experience in a Canadian Academic Department of Surgery
Bibliographic record
Abstract
Patient experience (PE) is recognized as a key component in the quality of health-care delivery. Public reporting of hospital, division, and physician-specific PE results has added to the momentum of adopting strategies to augment this metric of care. The Ottawa Hospital embarked on a journey to improve PE as a pillar of its quality improvement plan. This article demonstrates the efforts of a single surgery department from one large urban center to improve in-hospital PE in the rapidly changing environment of medicine and surgery. A multidisciplinary group within the department and a focus group of previous surgical inpatients were organized to address immediate challenges related to inpatient PE issues. We identified concrete strategies to optimize pain control, perceptions of patient respect and dignity, perceptions of surgeon availability, discharge medication understanding, and overall experience. Also, we identified a need in our department for timely patient feedback, improved communication styles in our staff and trainees, and an internal curriculum offering additional training for our staff and residents. We anticipate that the current results would be of significant interest to other departments wishing to optimize their PE profile as part of the ongoing quality improvement process at hospitals across North America.
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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 | 0.001 |
| 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 | 0.000 |
| 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".