Leadership development in health information management (HIM): literature review
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
PURPOSE: The health information management (HIM) profession lacks clarity around leadership and leadership development. To date, little empirical research exists on this topic, and it is unclear if broader approaches for healthcare leadership are suitable. This paper aims to explore which the leadership styles are relevant to the HIM profession. The findings were also used to inform a discussion on how HIM professionals could develop these leadership styles. DESIGN/METHODOLOGY/APPROACH: Through a systematic scoping literature review, deductive thematic analysis was undertaken to extrapolate common themes around this style of leadership based on transversal competency domains that reflect twenty-first century skills (i.e. critical thinking and innovation, interpersonal, intrapersonal and global citizenship) (Bernard, Watch and Ryan, 2016; UNESCO, 2015 ). This approach enabled the findings to be discussed from a leadership development perspective. FINDINGS: Analysis of the literature revealed that a relational leadership style through a team-based approach is required. Literature studies on how to develop leadership competencies were not found. RESEARCH LIMITATIONS/IMPLICATIONS: Future policy and research implications include the need for research on transversal competencies to determine if they can shape HIM leadership development. PRACTICAL IMPLICATIONS: This leadership style and competencies proposed are relevant across many occupations and may have broader applications for leadership research, education and development. ORIGINALITY/VALUE: This paper defines the style of leadership required in the HIM profession and identifies a succinct set of contemporary competencies to inform the development of this type of leadership.
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 | 0.019 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.007 |
| Insufficient payload (model declined to judge) | 0.001 | 0.005 |
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