Проблема информатизации лечебно-профилактических учреждений РФ (на примере ЛПУ г. Москвы)
Bibliographic record
Abstract
A study of the informatization level 56 health care facilities (HCF) in Moscow. Found that 100% of equipment information systems (IS) of the basic processes found only in 10,71% of the surveyed health facilities, about a third of health facilities (32,15%) has the power equipment from 50 to 88%, about 20% of health facilities equipped to 26-50%, a quarter of HCF (25%) is equipped with only 10-25%, a very low level of informatization (up 10%) 12,5% met in hospitals. The most frequently used in the design of IP applications for medicines, as well as registration services (59,18±5,64% and 51,20±6,1% respectively). Least helpful computerized process of registration of transactions (card transactions) 31,44±5,36%. In assessing the extent to which the functions of IP was found that 36,7% of health facilities in Moscow today use IP not completely, that is not efficient enough. Given the urgency of the application of information technology (IT) in the modern health care, its resource capabilities, the question of national informatization of health facilities in need of further development
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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 | 0.012 | 0.006 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 0.025 |
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; both teacher heads agree on what is shown here.
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".