The Role of Healthcare Informatics Competencies (HICs) and IT Capabilities for Service Innovation in Paramedicine
Bibliographic record
Abstract
Paramedic services in the developed world face several problems, often manifesting in unavailability of ambulances, and other negative effects. Paramedic services are innovating with new service delivery models and technologies, yet the evidence that guides paramedic services in these processes is lacking. The purpose of this paper is to determine how paramedic services innovate, and how that innovation is influenced by technology in particular. This research integrates the Dynamic Capabilities, IT Capabilities and Health Informatics Competencies approaches in a multilevel model to understand this issue in a sample of Canadian paramedic services (n=43). The results suggest that paramedics with higher competencies related to identifying areas for technology understanding and application contribute to the ability of a paramedic service to respond to environmental changes. The relationship between IT and paramedic leadership, and the business expertise of the information technology staff also have an impact on the ability to change.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".