Bibliographic record
Abstract
Introduction: The core requirement of successful and innovative organizations is doing right things and doing things right. Nowadays organizations are to perform excellently strategically and operationally so that they can face the current and future world challenges. Performance measurement is one of the ways in directing organization to the right targets and avoid diversity in practices. The effective performance measurement will result in accountability and responsiveness, thus making it possible to maximize the utilization of limited available resources. In this paper some of the dimensions and frameworks for performance measurement are presented and reviewed. Then a conceptual framework has been recommended for determining performance dimensions and indicators. Methods: In this paper after reviewing a brief history of performance measurement, and the characteristics of traditional models of performance measurement, including BSC and model in hospitals founded by National Health System, and Canadian hositals and RDF model of Montreal University, a model used on Denmark, quality indicator rojects in U.S, and the framework were studied. Literature Review: Following a brief history at performance measurement, and performance measurement frame works and models at performance in health core settings and hospital including Base model in hospitals founded by national health system, Canadian hospitals and RDF model, of Montreal university, a model used in Denmark, Quality indicator, projects in U.S, and the from work for the evaluation at NHS performance and the performance dimensions in each frame work were studied. Result: Reviewing models and frameworks based on the available foundations indicate that each of them has strengths and weaknesses. One of the reasons is the multiplicity of hospital functions and health policies. Yet in measuring hospital performance non of the functional areas should be ignored. There fore when reviewing the internal affairs of the hospitals, organizational, and theoretic specifications of hospitals should be fully understood to have a comprehensive analyses of the hospital performance. At the end of the study a conceptual frame work is presented on the account of patient centered strategies of hospitable whishes necessitate data measurement, performance processes, organizal structure, and most important organization results, so that we can come up with a lanead and complete view of a hospital performance.
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 | 0.011 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.015 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 0.010 |
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".