Ontology Based Modeling and Execution of Nursing Care Plans and Practice Guidelines
Bibliographic record
Abstract
Nursing Care Plans (NCP) and Nursing Clinical Practice Guidelines (NCPG) promote evidence-based patient care, but in their paper form they are difficult to be applied at the point-of-care. We present our approach to generate patient-specific nursing care plans by modeling and computerizing these nursing knowledge resources. We present a Nursing CarePlan Ontology (NCO) that models the NCP and NCPG to realize an integrated knowledge base for designing and executing patient-specific nursing CarePlans. We adapted METHONTOLOGY methodology for ontology engineering to develop our OWL-based NCO, and instantiated a set of NCP and NCPG. We have developed an execution engine that provides recommendations to nurses based on the patient's data. NCO was successfully evaluated for representational accuracy and completeness using a set of test NCP and NCPG.
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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 | 0.002 |
| 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 | 0.000 |
| 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".