{"entity":{"id":"idea-acc-electronic-frailty-index-oncology","kind":"idea","name":"An automatic electronic frailty index inside the oncology record","aka":[],"tldr":"Frailty is the strongest predictor of who will be harmed by treatment, but it is rarely measured. Software can estimate it automatically from existing records and flag patients who need a closer look.","summary":"Electronic frailty indices derived from coded diagnoses, prescriptions, and utilisation are used in primary care in England and predict outcomes well. An oncology version, computed automatically at referral and displayed with the staging information, would identify patients who should have a full geriatric assessment and would allow frailty-stratified outcome reporting. It requires validation against clinical frailty scales and treatment outcomes.","asOf":"2026-09-08","links":[{"label":"Bottleneck evidence (Older and multimorbid patients are excluded and undertreated): Mohile et al., Evaluation of geriatric assessment and management on toxic effects of cancer treatment (GAP70+, Lancet 2021)","url":"https://doi.org/10.1016/S0140-6736(21)01789-X"}],"tags":[],"related":["idea-acc-geriatric-assessment-by-default"],"cancers":[],"sections":["ai-computation"],"technologies":["geriatric-assessment"],"targets":[],"drugs":[],"companies":[],"institutions":[],"pathways":[],"terms":[],"trials":[],"people":[],"bottlenecks":["b-aging-comorbidity","b-data-silos"],"keyPapers":[],"journals":[],"dependsOn":[],"notes":[],"hypothesis":"An automated frailty index will predict grade 3 or higher toxicity and 90-day mortality after systemic therapy with discrimination at least as good as clinician judgement, and will increase geriatric assessment referrals among flagged patients.","rationale":"Automated indices remove the workload barrier that limits formal screening and enable population-level monitoring of undertreatment and overtreatment.","test":"Derive and validate the index in two health systems against toxicity and survival, then a pragmatic trial of displaying it versus not on assessment referrals and outcomes.","maturity":"early-clinical","actor":"data","cost":"small","horizonYears":2},"route":"/ideas/idea-acc-electronic-frailty-index-oncology/","neighbours":{"idea":[{"id":"idea-acc-geriatric-assessment-by-default","kind":"idea","name":"Geriatric assessment by default for every patient over 70 starting cancer treatment","route":"/ideas/idea-acc-geriatric-assessment-by-default/"}],"section":[{"id":"ai-computation","kind":"section","name":"AI & Computation","route":"/fronts/ai-computation/"}],"technology":[{"id":"g8-geriatric-screening","kind":"technology","name":"G8 geriatric screening tool","route":"/technologies/g8-geriatric-screening/"},{"id":"geriatric-assessment","kind":"technology","name":"Geriatric assessment","route":"/technologies/geriatric-assessment/"}],"bottleneck":[{"id":"b-data-silos","kind":"bottleneck","name":"Data silos","route":"/bottlenecks/b-data-silos/"},{"id":"b-aging-comorbidity","kind":"bottleneck","name":"Older and multimorbid patients are excluded and undertreated","route":"/bottlenecks/b-aging-comorbidity/"}]}}