Compensation Schemes for Damage Caused by Healthcare and Alternatives to Court Proceedings in the Netherlands: The Netherlands National Report to the 20th General Congress of the International Academy of Comparative Law, Fukuoka, Japan, 22-28 July 2018
Bibliographic record
Abstract
In the Netherlands, concerns about the negative experiences of patients with legal procedures following adverse medical events have led to potentially profound changes in the field of procedural complaint- and compensation law. This report offers insight into the Dutch legal framework of compensation for damage caused by healthcare. We start by presenting the traditional framework in part A: The Dutch landscape of medical liability. Having laid the groundwork, we try to explain the innovations that have recently been introduced, in part B: Efforts for reform. We elaborate on the problems patients experience when they claim for compensation, the impact legal procedures can have on both patients and healthcare professionals, the recent changes in legislation trying to address these problems, and how these changes force both healthcare and legal professionals to adapt to a new reality.
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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 | 0.012 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".