Earlier Hospital Discharge With Prospectively Designated Discharge Time In The Electronic Health Record

Implementation of a family-centered, prospective discharge time designation was achieved through EHR and workflow modifications and was associated with earlier discharges.BACKGROUND AND OBJECTIVES: Hospital discharge requires multidisciplinary coordination. Insufficient coordination impacts patient flow, resource use, and postdischarge outcomes. Our objectives were to (1) implement a prospective, multidisciplinary discharge timing designation in the electronic health record (EHR) and (2) evaluate its association with discharge timing. METHODS: This quality-improvement study evaluated the implementation of confirmed discharge time (CDT), an EHR designation representing specific discharge timing developed jointly by a patient's family and the health care team. CDT was intended to support task management and coordination of multidisciplinary discharge processes and could be entered and viewed by all team members. Four plan-do-study-act improvement phases were studied: (1) baseline, (2) provider education, (3) provider feedback, and (4) EHR modification. Statistical process control charts tracked CDT use and the proportion of discharges before noon. Length of stay was used as a balancing measure. RESULTS: During the study period from April 2013 through March 2017, 20 133 pediatric discharges occurred, with similar demographics observed throughout all phases. Mean CDT use increased from 0% to 62%, with special cause variations being detected after the provider education and EHR modification phases. Over the course of the study, the proportion of discharges before noon increased by 6.2 percentage points, from 19.9% to 26.1%, whereas length of stay decreased from 47 (interquartile range: 25-95) to 43 (interquartile range: 24-88) hours (both P < .001). CONCLUSIONS: The implementation of a prospective, multidisciplinary EHR discharge time designation was associated with more before-noon discharges. Next steps include replicating results in other settings and determining populations that are most responsive to discharge coordination efforts.