{"entity":{"id":"idea-data-guideline-concordance-dashboards","kind":"idea","name":"Real-time guideline-concordance feedback for every cancer centre","aka":[],"tldr":"Show each hospital, every month, how often its patients received the recommended treatment, compared with peers, so gaps are seen and closed.","summary":"Audit and feedback is one of the best-evidenced ways to change clinical practice, but oncology audits are infrequent and slow. Using structured data (mCODE) and computable guidelines, concordance for key decisions (biomarker testing before first-line therapy, adjuvant therapy in eligible patients, guideline-recommended regimens) can be computed monthly per centre and fed back with peer comparison. Precedents include ASCO's QOPI and the Dutch cancer audits (DICA).","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":["idea-data-computable-living-guidelines"],"cancers":[],"sections":["ai-computation"],"technologies":[],"targets":[],"drugs":[],"companies":[],"institutions":["asco"],"pathways":[],"terms":[],"trials":[],"people":[],"bottlenecks":["b-knowledge-diffusion","b-care-fragmentation"],"keyPapers":["paper-morris-j-r-soc-med"],"journals":[],"dependsOn":[],"notes":[],"hypothesis":"Monthly automated feedback will close the gap between actual and recommended care for measured decisions by at least half within two years, particularly for biomarker testing rates.","rationale":"Cochrane reviews find audit and feedback improves adherence by a median of several percentage points, more when frequent and with peer comparison; automation removes the cost barrier to frequency.","test":"Randomise 40 centres to monthly automated feedback or annual audit; measure biomarker testing and guideline-concordant first-line therapy rates at 18 months.","maturity":"early-clinical","actor":"clinic","cost":"medium","horizonYears":2},"route":"/ideas/idea-data-guideline-concordance-dashboards/","neighbours":{"idea":[{"id":"idea-data-computable-living-guidelines","kind":"idea","name":"Living guidelines published as versioned, computable rules","route":"/ideas/idea-data-computable-living-guidelines/"},{"id":"idea-data-order-set-defaults-30-days","kind":"idea","name":"Update hospital order sets within 30 days of a guideline change","route":"/ideas/idea-data-order-set-defaults-30-days/"}],"section":[{"id":"ai-computation","kind":"section","name":"AI & Computation","route":"/fronts/ai-computation/"}],"institution":[{"id":"asco","kind":"institution","name":"American Society of Clinical Oncology (ASCO)","route":"/institutions/asco/"}],"bottleneck":[{"id":"b-care-fragmentation","kind":"bottleneck","name":"Fragmented care and guideline gaps","route":"/bottlenecks/b-care-fragmentation/"},{"id":"b-knowledge-diffusion","kind":"bottleneck","name":"Knowledge reaches practice too slowly","route":"/bottlenecks/b-knowledge-diffusion/"}],"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/"}]}}