Knowing, Caring, and Telehealth Technology
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 use of technology in delivery of health care services is rapidly increasing, and more nurses are using telehealth to provide care by distance to persons with complex health challenges. The rapid uptake of telehealth modalities and dynamic evolution of technologies has outpaced the generation of empirical knowledge to support nursing practice in this emerging field, specifically in relation to how nurses come to know the person and engage in holistic care in a virtual environment. Knowing the person and nursing care have historically been associated with physical presence and close proximity in the nurse-client relationship, and the use of telehealth can limit the ways in which a nurse can observe the person, potentiate perceptions of distance, and lead to a reductionist perspective in care. The purpose of this article is to illuminate the dynamic and evolving nature of nursing practice in relation to the use of telehealth and to highlight gaps in nursing knowledge specific to knowing the person in a virtual environment. Such an understanding is necessary to inform future research and generate empirical evidence to support nurses in providing ethical, safe, effective, and holistic care by distance to persons through telehealth technology.
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 | 0.000 | 0.001 |
| 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 it