Assessing the Impact of Nursing Informatics Competencies on Decision Making Satisfaction: Results of a Preliminary Study
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
Nursing informatics competencies (NIC) refer to the knowledge and skills needed to effectively use technological resources to provide effective care using health care technology (TIGER, 2006). NICs are crucial in providing patient-centered care in healthcare, an industry that uses different technology to support clinical activities, for example, electronic health records (EHR). This study will provide an overview of the benefits of NICs, and propose and validate a theoretical model that can be used to assess the impact of nurses NICs on their satisfaction with their decisions resulting in the use of decision support systems. This preliminary research is important to medical administration and management as well as medical educators because it will demonstrate how this research should advance as it will determine if decision making satisfaction is a viable outcome of nurses and their level of NIC.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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