Accounts of Restorative Reconciliation After Medical Injury: Implications for Risk Management
Bibliographic record
Abstract
This research is a qualitative examination of how patients and families describe their long-term recovery in the aftermath of a significant or fatal accidental patient medical injury (PMI). The research is designed to achieve three objectives: (1) explore the continuing lived experiences of those impacted by PMI, (2) advance industry knowledge and management of PMI response, and (3) build on existing voluntary communication-and-resolution program and PMI management infrastructure to activate the potential of CRP discussions, design, and research. We used qualitative data from interviews with 25 of 27 PMI-impacted individuals across the U.S. and Canada to examine acknowledged and existing knowledge gaps pertaining to patient or surviving family member long-term reconciliation and restorative justice. The research concludes by suggesting an emerging theory of ‘restorative reconciliation’ that begins to delineate an actionable process to advance long term non-compensatory recovery from loss, individual healing, and justice after PMI. We do so by focusing on analysis and synthesis of our data, culminating in our initial discovery of a triad of overarching influencers of an individual’s restorative reconciliation after PMI – the influencing factors of understanding, accepting, and redirecting within a spatial recovery dimensions model.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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".