Application of the RIME framework in genetic counseling fieldwork training to assess practice‐based competencies
Bibliographic record
Abstract
Using educational frameworks for learner assessment in genetic counseling (GC) training may help students and supervisors articulate developmentally appropriate clinical skills-based objectives and tasks that align with various stages of training as students work toward achieving entry-level competency. This professional issues case study describes how two GC programs adapted and implemented the RIME (Reporter-Interpreter-Manager-Educator) learner assessment framework, originally designed for medical education, to support and assess students' acquisition of practice-based competencies (PBCs) during clinical fieldwork placements. Each RIME level describes a different set of expectations regarding the skills students should be able to demonstrate based on the level of training they have achieved up to that point in time. In early training, students work mainly on gathering and reporting clinical information (Reporter level). In early to mid-training, students have learned what information to collect from clients and begin to apply the information to generate differential diagnoses (Interpreter level). When students reach the Manager level (typically by mid- to late-training), they can independently develop and implement case management plans tailored to individual cases. The Educator level, which may not be fully attained until after graduation, involves critically evaluating evidence and educating others about new evidence. The following paper describes our experiences incorporating the RIME framework into two GC graduate programs and explains the development of corresponding RIME-based assessment forms that align with the Accreditation Council of Genetic Counseling's 2023 PBCs. Overall, we find that using the RIME framework fosters a growth mindset by enabling students and supervisors to create developmentally appropriate goals and expectations, thereby facilitating assessment and guidance of trainee progress. Despite these perceived benefits, we acknowledge the need for research to evaluate the efficacy of the RIME framework or other learner assessment models in supporting student progression in achieving the GC PBCs.
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How this classification was reachedexpand
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".