Informed Consent in the Twenty‐First Century: What It Is, What It Isn't, and Future Challenges in Informed Consent and Shared Decision Making
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
Abstract Consent evolved from judge‐made law in Great Britain in 1767. The term informed consent entered the judicial lexicon in 1957. The first court case to articulate a reasonable person standard adopted by the high courts in Canada and Australia was heard in the U.S. in 1972. Today, informed consent continues to develop in four areas: (i) the court‐based doctrines of consent and informed consent in clinical care in judge‐made law; (ii) federal regulations related to research on human study participants; (iii) shared decision making adopted by care organizations and medical societies in the US, Canada, and Europe; and (iv) areas including decision analysis, discourse analysis, ethics, linguistic analysis, patient–physician communication, risk and evidence communication, and social theory. In this paper, we will focus on consent and informed consent in the first part of the twenty‐first century. We will examine a range of information and decision making frameworks from the oldest court‐established frameworks of consent and informed consent to recent conceptions of information and decision making in evidence‐based decision making and shared decision making in the patient–physician relationship. This paper is divided into three parts: I. What informed consent is, II. What informed consent isn't, and III. Future challenges in informed consent and shared decision making.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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