The Greek hospital sector and its cost efficiency problems in relation to unexpected hospital demand: a policy-making perspective
Bibliographic record
Abstract
Public hospitals in Greece are part of a National Health System, established in 1983. This paper presents the hospital sector changes in Greece over the last 20 years, emphasizing on the cost efficiency. We break down its historical developments into two periods: 1983-1999 and 2000-2008. From the historical review, it is concluded that the system is cost inefficient, based on two components. First, a number of resources are idle, and second, part of hospital capacity is never used or misused. However, idle resources and unused stand-by capacity is not a sufficient condition to determine whether a public hospital is running below optimal cost efficiency level. Such a practice, could be an optimal (cost efficient) response by hospital managers to meet unexpected demand. This is an issue that need further research in order to investigate whether part of this inefficiency could be explained by the reserve capacity held by hospitals due to unexpected demand.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".