Enhanced Performance and Cost-effective Clinical Engineering System for Jordan
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
In Brief The article presents a comprehensive national clinical engineering medical equipment management system based on Jordan to improve equipment performance at reduced cost. The article includes the different steps involved inestablishing, implementing, and evaluating the system. The system was applied to 29 hospitals, 685 health centers, 332 dental clinics, 348 pediatrics and mother care clinics, and 23 blood banks of the Jordanian Ministry of Health. All information associated with about 20,000 main pieces of medical equipment distributed in the different ministry locations is successfully handled by the system. The system proves high efficiency compared with international figures and may present a useful guide for other countries. The article presents a comprehensive national clinical engineering medical equipment management system based on Jordan to improve equipment performance and reduced cost. The article includes the different steps involved in establishing, implementing, and evaluating the system. The system was applied to 29 hospitals, 685 health centers, 332 dental clinics, 348 pediatrics and mother care clinics, and 23 blood banks of the Jordanian Ministry of Health. All information associated with about 20,000 main pieces of medical equipment distributed in the different ministry locations are successfully handled by the system. The system proves high efficiency compared with international figures and may present a useful guide for other countries.
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 | 0.010 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it