An informatics-based approach to reducing heart failure all-cause readmissions: the Stanford heart failure dashboard. Journal of the American Medical Informatics Association Banerjee, D., Thompson, C., Kell, C., Shetty, R., Vetteth, Y., Grossman, H., DiBiase, A., Fowler, M. 2016


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.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.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.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?=?.045). Implementation of our EMR-based approach further significantly reduced 30-day index hospital readmission rates for HF to 10.1% (P for trend?=?.0001). Daily time to screen patients decreased from 1 hour to 15?minutes, accuracy of cohort identification improved from 83% to 94.6% (P?=?.0001), and the percentage of patients receiving our interventions, such as patient education, also improved significantly from 22% to 100% over time (P?

View details for DOI 10.1093/jamia/ocw150

View details for PubMedID 28011593