Exploration of spatial-temporal patterns in healthcare implementation of RFID indoor navigation system
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
The development of advanced spatial-positioning systems for medical monitoring and emergency response using RFID and Wi-Fi technologies is a current research focus of many healthcare organizations. The goal of such system is to support real-time location tracking of medical equipments and personnel in hospital settings using RTLS technology. This paper presents a spatial-temporal data analysis based on data collected at the W21C of Foothills Hospital, Calgary, Canada. The collected data, comprising real-time observations and tracking paths, has been used to perform advanced statistical pattern analysis and visualization of work-flow patterns in health care system. From this analysis, we bring forward some insights into medical resource, asset and facility utilization in a clinical care ward of a regional healthcare organization. This gained knowledge could be used as one of the inputs in improving patient care, responsiveness, and infection control practices.
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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 | 0.001 | 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 | 0.000 | 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 it