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Effectiveness of Implementing a Predischarge Order to Discharge Patients Before 11 a.m
Insights
Implementing an electronic predischarge order significantly reduced hospital discharge times. While the goal of discharging over 40% of patients before 11 a.m. was not met, the intervention successfully increased early discharges and decreased overall processing time.
Area of Science:
- Healthcare Management
- Clinical Informatics
- Patient Flow Optimization
Background:
- Poor communication, pending results, and logistical delays are barriers to timely hospital discharges.
- Baseline data showed 5% of patients discharged before 11 a.m. with a mean processing time of 145 minutes.
Purpose of the Study:
- To evaluate the effectiveness of an electronic predischarge order system.
- To determine if the system could achieve discharging over 40% of patients before 11 a.m.
Main Methods:
- An electronic predischarge order set was implemented to coordinate discharge tasks among healthcare teams.
- The intervention involved nurses, pharmacists, case managers, and social workers.
Main Results:
- The resident teaching service discharged 22% of patients before 11 a.m. (baseline 5%, p < 0.001).
- Mean total discharge time decreased to 77 minutes (baseline 145 minutes, p < 0.001).
Conclusions:
- The electronic predischarge order system significantly improved early discharge rates and reduced processing times.
- Further interventions are needed to overcome identified limitations and achieve the 40% early discharge goal.
Abstract:
Barriers to early discharges include poor communication among the healthcare team and families, pending laboratory test results, delays in discharge orders, medical reconciliation list, and patient transport. The baseline data at our hospital in October 2017 (N = 1,021) showed that 5% of patients were discharged before 11 a.m., with the mean discharge processing time being 145 minutes. The goal of this study was to assess the effectiveness of using an electronic predischarge order to discharge more than 40% of patients before 11 a.m. A predischarge order set was created in the electronic record, which notified the nurses, pharmacists, and case and social workers to complete all tasks related to discharge (medication reconciliation, complete laboratory test results and imaging, and arrange transport with family and nursing homes). The resident teaching service group (N = 381) from November 2017 to September 2018 discharged 22% of their patients before 11 a.m. (baseline: 5%, p value = 3.38638E-22), and the mean total discharge time was 77 minutes (baseline: 145 minutes; p value = 1.12013E-19). Our inability to discharge more than 40% of patients from the resident teaching service group before 11 a.m. was attributed to 3 limitations. We propose three viable recommendations to meet our goal in a future intervention.
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