Quality Assessment of a Dental Centre Using EFQM Excellence Model: A Case Study on King Fahd Armed Forces Hospital
Bibliographic record
Abstract
This research aimed to investigates the quality assessment of a dental centre using EFQM excellence model a case study on King Fahd Armed Forces Hospital (KFAFH) . The literature review reveals that there is an extensive body of research that addresses EFQM model in general but there is less emphasis on the hospital and dental centres in particular. In order to explore this issue, a quantitative method was used to collect primary data through a questionnaire, which was administered in the dental centre at KFAFH in Jeddah- Saudi Arabia. A purposive sampling was used to choose the participants in this research. In total, 50 respondents (managers, faculties, and students) participated in this study. The results confirm significant positive in the influence of EFQM factors on each other's. Furthermore, the results exhibit that hospital management might benefit more by placing more emphasis on an integrated EFQM model and recognising the EFQM influences on their dental centre. This research contributes to the academic and practical knowledge as being one of the first attempts to investigate empirically the EFQM dental centre at Arab Region. This research integrates, refines and extends the empirical work conducted in the field of health services in Gulf Countries. It raises many implications for managers in this hospital, such as considering the importance of EFQM and the vital role this model plays in the performance of Saudi hospitals. This research provides useful guidelines for further and future research possibilities such as exploring the influence of the EFQM model in the whole hospitals in Saudi Arabia.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".