Portrait of Ms. Diaz: Empirical study of patient journey mapping instruction for medical professional students
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
An interdisciplinary team of educators from medicine, design, and informatics piloted an online journey map (JM) exercise targeting 48 medical students and physicians assistants students. The JM exercise was designed to teach about patient empathy skills, person-centred care, and the socio-ecologic determinants of health. Prior to the exercise, the students were given a sample patient archetype introducing Ms. Diaz, a person with diabetes visiting a virtual clinic. Students worked in small groups to create a JM from Ms. Diaz’ perspective about, and experiences with, a telemedicine clinic. Our preliminary qualitative analysis of the JMs from the exercise showed that learners were able to create JMs that included all key sections including process phases, user perceptions, pain points, and design opportunities. Almost half of the responses focused upon socio-cultural and socio-technical issues as opposed to strictly clinical concerns. We believe this pilot shows the potential for journey maps to be used in health professional education to empathize with patients, identify societal problems in healthcare delivery, and design responsive solutions. Furthermore, the virtual classroom format highlights the scalability and extensibility of this strategy to a broad range of educational goals.
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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 | 0.000 | 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 it