RFID-enabled Real-Time Location System (RTLS) to improve hospital's operations management: An up-to-date typology
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
Recent deployments of Real-Time Location Systems (RTLS) around the world illustrate a key trend in Radio Frequency Identification (RFID) technologies supporting innovative applications within numerous industrial sectors. Managers in charge of implementing RTLS face several challenges when (a) selecting the right active/passive RFID system for their needs; (b) implementing and integrating the system; and (c) leveraging on it, to move from automated object identification to information management and decision-making. Although some information is available to support researchers and practitioners, the existing documentation often focuses on specific aspects of the technology, and much of the information found in the professional literature is not vendor-neutral, resulting in some confusion for decision-makers. This paper clarifies the different technological options presently available on the market and proposes up-to-date typologies for RTLS hardware and software solutions used in hospitals. Findings can help potential adopters select an RTLS that meets their specific needs while highlighting the critical steps and pitfalls at the front end phases of a RTLS implementation project.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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