{"entity":{"id":"idea-data-patient-explainers-per-recommendation","kind":"idea","name":"A plain-language explainer for every guideline recommendation, in every major language","aka":[],"tldr":"For each treatment recommendation in the guidelines, publish a short explanation patients can read in their own language: what it is, why it is recommended, and what the evidence says.","summary":"Patient information is written separately from guidelines and lags them. The proposal generates and expert-verifies a patient explainer for each recommendation in a computable guideline (using the structured evidence and plain-language summaries), checked for reading age, translated into at least 20 languages, and updated automatically when the recommendation changes. ESMO patient guides and NCCN patient guidelines are precedents but are updated slowly.","asOf":"2026-09-08","links":[{"label":"Bottleneck evidence (Knowledge reaches practice too slowly): Morris, Wooding & Grant, The answer is 17 years, what is the question (JRSM 2011)","url":"https://doi.org/10.1258/jrsm.2011.110180"}],"tags":[],"related":["cancer-gov-pdq","idea-data-computable-living-guidelines"],"cancers":[],"sections":["ai-computation"],"technologies":[],"targets":[],"drugs":[],"companies":[],"institutions":[],"pathways":[],"terms":[],"trials":[],"people":[],"bottlenecks":["b-knowledge-diffusion","b-misinformation","b-patient-voice"],"keyPapers":["paper-morris-j-r-soc-med"],"journals":[],"dependsOn":[],"notes":[],"hypothesis":"Patients given recommendation-level explainers will report higher understanding and shared decision-making scores, and will be less likely to follow misinformation, than those receiving general information leaflets.","rationale":"Decision aids improve knowledge and reduce decisional conflict in randomised trials; tying them to the live guideline solves the currency problem that plagues static leaflets.","test":"Randomise patients at decision points in two cancers to explainers versus standard leaflets; measure knowledge, decisional conflict and use of unproven treatments.","maturity":"speculative","actor":"patients","cost":"small","horizonYears":2},"route":"/ideas/idea-data-patient-explainers-per-recommendation/","neighbours":{"collection":[{"id":"cancer-gov-pdq","kind":"collection","name":"NCI PDQ Cancer Information Summaries","route":"/collections/cancer-gov-pdq/"}],"idea":[{"id":"idea-data-computable-living-guidelines","kind":"idea","name":"Living guidelines published as versioned, computable rules","route":"/ideas/idea-data-computable-living-guidelines/"}],"section":[{"id":"ai-computation","kind":"section","name":"AI & Computation","route":"/fronts/ai-computation/"}],"bottleneck":[{"id":"b-knowledge-diffusion","kind":"bottleneck","name":"Knowledge reaches practice too slowly","route":"/bottlenecks/b-knowledge-diffusion/"},{"id":"b-misinformation","kind":"bottleneck","name":"Misinformation and unproven therapies","route":"/bottlenecks/b-misinformation/"},{"id":"b-patient-voice","kind":"bottleneck","name":"Patients lack understanding, navigation and agency","route":"/bottlenecks/b-patient-voice/"}],"paper":[{"id":"paper-morris-j-r-soc-med","kind":"paper","name":"The answer is 17 years, what is the question: understanding time lags in translational research","route":"/key-papers/paper-morris-j-r-soc-med/"}]}}