{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T02:33:35Z","timestamp":1772591615722,"version":"3.50.1"},"reference-count":25,"publisher":"Oxford University Press (OUP)","issue":"3","funder":[{"DOI":"10.13039\/100000936","name":"Gordon and Betty Moore Foundation","doi-asserted-by":"publisher","award":["3284"],"award-info":[{"award-number":["3284"]}],"id":[{"id":"10.13039\/100000936","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,5,1]]},"abstract":"<jats:p>Background: Reduction of 30-day all-cause readmissions for heart failure (HF) has become an important quality-of-care metric for health care systems. Many hospitals have implemented quality improvement programs designed to reduce 30-day all-cause readmissions for HF. Electronic medical record (EMR)-based measures have been employed to aid in these efforts, but their use has been largely adjunctive to, rather than integrated with, the overall effort.<\/jats:p>\n               <jats:p>Objectives: We hypothesized that a comprehensive EMR-based approach utilizing an HF dashboard in addition to an established HF readmission reduction program would further reduce 30-day all-cause index hospital readmission rates for HF.<\/jats:p>\n               <jats:p>Methods: After establishing a quality improvement program to reduce 30-day HF readmission rates, we instituted EMR-based measures designed to improve cohort identification, intervention tracking, and readmission analysis, the latter 2 supported by an electronic HF dashboard. Our primary outcome measure was the 30-day index hospital readmission rate for HF, with secondary measures including the accuracy of identification of patients with HF and the percentage of patients receiving interventions designed to reduce all-cause readmissions for HF.<\/jats:p>\n               <jats:p>Results: The HF dashboard facilitated improved penetration of our interventions and reduced readmission rates by allowing the clinical team to easily identify cohorts with high readmission rates and\/or low intervention rates. We significantly reduced 30-day index hospital all-cause HF readmission rates from 18.2% at baseline to 14% after implementation of our quality improvement program (P\u2009=\u2009.045). Implementation of our EMR-based approach further significantly reduced 30-day index hospital readmission rates for HF to 10.1% (P for trend\u2009=\u2009.0001). Daily time to screen patients decreased from 1 hour to 15\u2009minutes, accuracy of cohort identification improved from 83% to 94.6% (P\u2009=\u2009.0001), and the percentage of patients receiving our interventions, such as patient education, also improved significantly from 22% to 100% over time (P\u2009&amp;lt;\u2009.0001).<\/jats:p>\n               <jats:p>Conclusions: In an institution with a quality improvement program already in place to reduce 30-day readmission rates for HF, an EMR-based approach further significantly reduced 30-day index hospital readmission rates.<\/jats:p>","DOI":"10.1093\/jamia\/ocw150","type":"journal-article","created":{"date-parts":[[2016,10,11]],"date-time":"2016-10-11T14:19:40Z","timestamp":1476195580000},"page":"550-555","source":"Crossref","is-referenced-by-count":32,"title":["An informatics-based approach to reducing heart failure all-cause readmissions: the Stanford heart failure dashboard"],"prefix":"10.1093","volume":"24","author":[{"given":"Dipanjan","family":"Banerjee","sequence":"first","affiliation":[{"name":"Stanford University School of Medicine, Stanford, CA, USA"}]},{"given":"Christine","family":"Thompson","sequence":"additional","affiliation":[{"name":"Stanford HealthCare, Stanford, CA, USA"}]},{"given":"Charlene","family":"Kell","sequence":"additional","affiliation":[{"name":"Stanford HealthCare, Stanford, CA, USA"}]},{"given":"Rajesh","family":"Shetty","sequence":"additional","affiliation":[{"name":"Stanford HealthCare, Stanford, CA, USA"}]},{"given":"Yohan","family":"Vetteth","sequence":"additional","affiliation":[{"name":"Stanford HealthCare, Stanford, CA, USA"}]},{"given":"Helene","family":"Grossman","sequence":"additional","affiliation":[{"name":"Stanford HealthCare, Stanford, CA, USA"}]},{"given":"Aria","family":"DiBiase","sequence":"additional","affiliation":[{"name":"Palo Alto Medical Foundation, Palo Alto, CA, 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