Seizing opportunities for change at the operational level
Bibliographic record
Abstract
Purpose - This paper presents a method for handling everyday opportunities for improvement, led by floor staff in healthcare institutions. More than 400,000 incidents and accidents were recorded in Quebec healthcare institutions in 2013. The burden of treatment falls on hospital floor staff. The purpose of this paper is to raise the visibility of this problem and support staff better in their efforts to handle opportunities for improvement. Design/methodology/approach - Based on issues identified in the literature, which have been found to exist in various organizations, the method involved reviewing practices in the field, proposing a solution, and testing it to assess its relevance and limitations. The method was tested in partnership with the Centre Hospitalier de l'Université de Montréal, in the internal medicine unit at Hôtel-Dieu campus. The test lasted three months. Indicators from this test have been compared to results in the literature. Findings - The proposed method presents a 68 per cent increase in ideas generated per person and per week compared to the reference study. The mean time for closing actions was about 41 per cent better (lower) than in the reference case. Research limitations/implications - The test lasted 15 weeks; a longer test is needed to collect more data. Practical implications - The first practical implication of this study was the creation of a method allowing employees to seize opportunities for improvement in their daily work. The application of this method revealed: first, the operational nature of the proposal (empowerment of the work team); second, the operationalization of continuous improvement (71 per cent of ideas were finalized while the initiative was monitored); third, the smooth operation of the mechanism for facilitating continuous improvement (organization of weekly meetings and team participation in these meetings in 90 per cent of cases); and fourth, a shared feeling that intra- and inter-team communication had been strengthened. Originality/value - The main value of this paper is that it proposes a simple problem-solving process that gives employees an opportunity to improve their daily work. The originality of this paper resides in comparing results to a standard case and observing an improvement. This paper proposes a new problem-solving structure and tests it scientifically.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.031 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".