ArticleThe American journal of bioethics : AJOB2024
A Personalized Patient Preference Predictor for Substituted Judgments in Healthcare: Technically Feasible and Ethically Desirable.
Article in The American journal of bioethics : AJOB, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07751731 (Survey to Determine Incarcerated Persons Views on Surrogate Decision-Making), which is not on this map. Cited by 32 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Survey to Determine Incarcerated Persons Views on Surrogate Decision-Making
Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Next-Generation Cognitive-Behavioral Therapy for Depression: Integrating Digital Tools, Teletherapy, and Personalization for Enhanced Mental Health Outcomes.Medicina (Kaunas, Lithuania) · 2025Pooled it
- P4s Are Either Unhelpful or Unnecessary. Proposing a Better AI-Powered Solution to Predict Patients' Preferences.Bioethics · 2026Article
- The PALLI-AI Framework: An Evidence-Informed Checklist for Designing and Reporting Trustworthy Artificial Intelligence Tools in Palliative and End-of-Life Care.Healthcare (Basel, Switzerland) · 2026Article
- Digital bioethics: exploring an emerging field.Medicine, health care, and philosophy · 2026Article
- Surrogate Decision-Making in Carceral Healthcare.Journal of general internal medicine · 2026Article
- Artificial intelligence and medical futility.BMC medical informatics and decision making · 2026Review
- Article
- Guiding Policymakers Toward Better AI Ethics Integration in Healthcare Regulation-Lessons from Singapore.Journal of clinical medicine · 2026Review
- Can digital brain twins dissolve the uncertainties surrounding unresponsive wakefulness?BMC medical ethics · 2026Article
- Artificial autonomy and algorithmic paternalism: AI shaping human autonomy and decision-making.Frontiers in artificial intelligence · 2026Article
- What might Confucius say? Digital doppelgängers for people who are newly dead, dying, or comatose.Global bioethics = Problemi di bioetica · 2026Article
- The Enduring Promise of Personalising Patient Preference Prediction.Neuroethics · 2026Review
- Article
- AI-assisted rational decision-making.Synthese · 2026Article
- From inferring preferences to enabling choice: potentials of digital tools to improve substitute decision-making.Frontiers in digital health · 2026Article
- Application of artificial intelligence to measure and predict patient values and preferences: a scoping review.NPJ digital medicine · 2025Article
- Human-Machine Agreement in Medical Ethics: Patient Autonomy Case-Based Evaluation of Large Language Models.JMIR medical informatics · 2025Article
- Patient preference predictors revisited: technically feasible, ethically desirable, yet must be clinically relevant.Critical care (London, England) · 2025Review
- Pitfalls of large language models in medical ethics reasoning.NPJ digital medicine · 2025Article
- Respecting formerly autonomous persons: clarifying the role of the Personalised Patient Preference Predictor (P4) in substituted judgement.Journal of medical ethics · 2025Article
Corrections and comments
- Commented on by
- Commented on by
- Commented on by
- Commented on by
- Commented on by
- Commented on by
- Commented on by
- Commented on by
- Commented on by
- Commented on by
- Commented on by
- Commented on by
- Commented on by
- Commented on by
- Commented on by
- Commented on by
Authors and funding
12 authors.
Funding
Abstract
When making substituted judgments for incapacitated patients, surrogates often struggle to guess what the patient would want if they had capacity. Surrogates may also agonize over having the (sole) responsibility of making such a determination. To address such concerns, a Patient Preference Predictor (PPP) has been proposed that would use an algorithm to infer the treatment preferences of individual patients from population-level data about the known preferences of people with similar demographic characteristics. However, critics have suggested that even if such a PPP were more accurate, on average, than human surrogates in identifying patient preferences, the proposed algorithm would nevertheless fail to respect the patient's (former) autonomy since it draws on the 'wrong' kind of data: namely, data that are not specific to the individual patient and which therefore may not reflect their actual values, or their reasons for having the preferences they do. Taking such criticisms on board, we here propose a new approach: the
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.