{"entity":{"id":"idea-data-patient-facing-model-cards","kind":"idea","name":"Patients told which AI is used in their care, in plain language","aka":[],"tldr":"Every patient would be able to see which AI tools were used in their diagnosis or treatment plan, what they do, how well they work and how to question them.","summary":"Patients are rarely informed when AI has contributed to their diagnosis or plan. The proposal requires a patient-facing model card, drawn from the model registry, attached to the patient's record whenever an AI tool influences care: what the tool did, its validated performance in plain terms, the version, and how to request human review. This supports informed consent, builds trust and creates a feedback channel for errors.","asOf":"2026-09-08","links":[{"label":"Bottleneck evidence (AI that is built but not validated or deployed): Wu et al., How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals (Nature Medicine 2021)","url":"https://doi.org/10.1038/s41591-021-01312-x"}],"tags":[],"related":["idea-data-clinical-ai-model-registry"],"cancers":[],"sections":["ai-computation"],"technologies":[],"targets":[],"drugs":[],"companies":[],"institutions":[],"pathways":[],"terms":[],"trials":[],"people":[],"bottlenecks":["b-ai-validation","b-patient-voice"],"keyPapers":["paper-wu-nat-med"],"journals":[],"dependsOn":[],"notes":[],"hypothesis":"Disclosure will not reduce acceptance of validated AI tools and will increase patient trust and reporting of suspected errors, providing a new post-market signal.","rationale":"Transparency about automated decisions is required in other domains (credit, employment) and surveys show patients want to know; disclosure is also a precondition for meaningful consent.","test":"Implement disclosure at three centres for one year; survey patient trust and acceptance versus centres without disclosure; count error reports attributable to patients.","maturity":"speculative","actor":"patients","cost":"small","horizonYears":2},"route":"/ideas/idea-data-patient-facing-model-cards/","neighbours":{"idea":[{"id":"idea-data-clinical-ai-model-registry","kind":"idea","name":"A public registry of every AI model used in cancer care","route":"/ideas/idea-data-clinical-ai-model-registry/"}],"section":[{"id":"ai-computation","kind":"section","name":"AI & Computation","route":"/fronts/ai-computation/"}],"bottleneck":[{"id":"b-ai-validation","kind":"bottleneck","name":"AI that is built but not validated or deployed","route":"/bottlenecks/b-ai-validation/"},{"id":"b-patient-voice","kind":"bottleneck","name":"Patients lack understanding, navigation and agency","route":"/bottlenecks/b-patient-voice/"}],"paper":[{"id":"paper-wu-nat-med","kind":"paper","name":"How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals","route":"/key-papers/paper-wu-nat-med/"}]}}