Real-Time, Location-Based Patient-Device Association Management
Bibliographic record
Abstract
Background: Hospitals need to accurately manage mobile devices (e.g., intravenous pumps) associated to their patients and health providers to ensure patient safety. Some hospitals have already invested substantially in real-time location system (RTLS) technology, a specific type of Internet of Things (IoT) application for indoor positioning, to manage mobile clinical devices. Objective: This paper investigates the reuse of RTLS systems to monitor patients and their assigned devices and to manage their connectivity automatically, in real time. Method: A system called Real-time Patient-Device Association and Disassociation (RPDAD) is designed, implemented, and tested in a hospital room and in a university laboratory. Results: RPDAD helps manage patient-device associations through a tablet application, with accurate suggestions for closest devices and automated detection of unexpected disassociations, resulting in real-time alerts. Conclusion: RPDAD offers a usable means of managing associations that does not depend on bar-coding technologies. It also helps amortize investments in RTLS.
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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 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".