Electronic Medical Record in Pediatric Intensive Care: Implementation Process Assessment
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 implementation of an electronic medical record (EMR) is a high-priority project in a majority of industrialized countries. The Healthcare Information and Management Systems Society (HIMSS) Analytics established an eight-stage EMR Adoption Model (EMRAM) to track progress against health care organizations across a country. In Canada, 36.5% of the hospitals are at the stage 3 or higher, whereas 0.2% have reached the seventh stage. To assess the impact on the safety and caregivers' satisfaction of a stage 7 EMR in a Quebec Pediatric Hospital initially at the EMRAM stage 3, a pilot customized implementation of paperless pediatric intensive care EMR was performed and evaluated. Six months after implementation, there was a nonsignificant decrease in severe medical incidents in comparison to the same period of time, the previous year. Most pediatric intensive care unit (PICU) staff were very or completely comfortable with the EMR, but the EMR satisfied 33.9% of all staff (everyday users [internal staff] and occasional user [external staff]) and 41.9% of internal staff only. The information gathered with this pilot EMR implementation using a 20-month preparation period and a continuous monitoring including change management ("living lab approach") after the "go live" helped in the success of the implementation but did not improve significantly caregivers' satisfaction, in the first 6 months of this dramatic change in practice.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.005 |
| 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