Retaining and Transferring Nursing Knowledge through a Hospital Internship Program
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
In healthcare, organizations recognize that human capital is their most valuable asset. The importance of investing in knowledge workers is imperative given the current and future shortage of health professionals. Knowledge acquisition occurs through continuous learning and the transfer of information from those who are highly experienced to those who are less qualified. At St. Michael's Hospital, two innovative and unique programs were created for the transfer of knowledge. The first was a nurse fellowship program that enabled experienced nurses to spend two to three months learning new skills to advance clinical practice. The second was a nurse internship program in which new graduates spend three to four months in their area of hire to enhance clinical practice through skill development and prioritization of patient care needs. This paper describes both programs and presents an evaluation of the new-graduate internship program as an opportunity for professional development and career enhancement For nurse interns, the program promotes self-esteem and professional confidence, improves job satisfaction and rewards nurses for their contribution. For nurse preceptors, the program provides job enrichment, experience in teaching and recognition by the organization and peers that they are knowledge experts. In healthcare, organizations have come to acknowledge that their most valuable asset is human capital, in particular, knowledge workers (Horibe 1999). Knowledge workers contribute a composite of information, intellectual property and experience (Horibe 1999), acquired by study, investigation, observation or practice (Webster's Dictionary 1989). Investing in knowledge workers is investing in the future. In this regard, organizations have implemented recruitment and retention strategies to attract, retain and advance the highest calibre of health professional. Knowledge workers contribute to an organization through their ideas, analyses of complex situations and sound judgment in decision-making (Horibe 1999). They further develop these skills over the course of their career through continuous learning. This paper will focus on the importance of investing in nurses as knowledge workers. In particular, given the shortage of nurses and the reality that 25% of today's nurses can retire over the next 10 years (CNA 2001), it is imperative that knowledge transfer occur from highly experienced to less experienced nurses.
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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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