Exploring Perceptions of Healthcare Professionals in the Implementation of a New Professional Role of Clinical Telehealth Coordinator Within a University Integrated Healthcare Network
Bibliographic record
Abstract
The objective of this study was to explore how healthcare professionals (HCPs) involved in a specialized tele-oncology program perceive a new clinical telehealth coordinator (CTC) role within a university-integrated healthcare network. A descriptive qualitative design was used with a sample of nine HCPs, including physicians, nurses, and pharmacists. The HCPs identified that the CTC was a multifaceted role. The core competencies identified by the HCPs included knowledge, expertise, and experience. Participants identified three key factors in the implementation of this role, including the structural support, having a common language, and making the implementation of this role relevant. The results suggest that this CTC role may be more complex than originally expected and that the diverse competencies suggest an expanded nature to this role. Objective:As telehealth networks develop across Canada, new professional roles start to emerge. A university healthcare center part of an integrated health network has identified the need to introduce a clinical coordinator for specialized telehealth programs. However, very little is found in the current literature about the description or core competencies that such a professional should possess as well as the ways to implement this role. The objective of this study was to explore how healthcare professionals (HCPs) involved in a specialized teleoncology program perceive a new clinical telehealth coordinator (CTC) role within a university integrated healthcare network (UIHN) in a metropolitan area in Québec, Canada.Materials and Methods:A descriptive qualitative design was used and a purposive sample of nine HCPs, including physicians, nurses, and pharmacists who were members of a UIHN teleoncology committee, was recruited.Results:The HCPs identified that the CTC was a multifaceted role. The core competencies identified by the HCPs included knowledge, expertise, and experience. Participants identified three key factors in the implementation of this role, namely, the structural support, having a common language, and making the implementation of this role relevant.Conclusions:The results suggest that this CTC role may be more complex than originally expected and that the diverse competencies suggest an expanded nature to this role. This has important implications for administrative strategies when addressing the key factors in the implementation of this role.
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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 | 0.011 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".