A preliminary assessment of EMI control policies in hospitals
Bibliographic record
Abstract
The use of wireless devices around critical-care medical equipment poses the risk that the electric field strength will exceed the immunity of the equipment, potentially resulting in equipment failure and possibly harming the patient. As medical staff and visitors carrying wireless transmitters move through the hospital, there may be times when number and type of transmitters near a medical device produce an electric field that exceeds the equipment's immunity level. This paper presents a method for estimating the risk that the immunity level will be exceeded from wireless transmitters carried by medical staff throughout a 24-hour period. The method is applied to a simplified scenario of three patients in beds and twelve transmitter locations surrounding the beds, with eight medical staff on the floor. The risk of electromagnetic interference can be reduced with a suitable management policy. This paper describes a method for evaluating the usefulness of a management policy quantitatively, and then compares three policies: unrestricted use of wireless devices, restricted use, and a ban on wireless devices.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".