Ready-JET-Go: Split Flow Accelerates ED Throughput

J Emerg Nurs. 2016 Mar;42(2):114-9. doi: 10.1016/j.jen.2015.06.003. Epub 2015 Aug 8.

Abstract

Problem: Struggling to keep up with The Centers for Medicare and Medicaid Services out-patient throughput metrics, an adult emergency department serving Burlington and Camden Counties, New Jersey, sought to redefine its care delivery model by adopting the patient segmentation initiatives of the split-flow process of patient care.

Methods: A multidisciplinary team of ED clinicians collaboratively defined the patient segmentation criteria. A joint assessment team approach to patient care was instituted. A 3-pronged approach was adopted to prepare staff for the patient care changes in line with an existing framework specified by the Institute of Medicine. Simulation and queuing analyses were used to estimate the accompanying resource needs.

Results: Since implementing split flow, the emergency department has witnessed significant improvements in patient throughput and patient satisfaction, despite a sustained 10% increase in patient volumes after split-flow implementation. The median length of stay for discharged patients and the door-to-diagnostic evaluation time are now down to 112 minutes and 30 minutes, respectively, compared with pre-split-flow values of 192 minutes and 72 minutes, respectively.

Implications for practice: Working collaboratively with all stakeholders to define the right patient care delivery model, combined with an understanding of the right resource assignments to optimally support that care delivery model, an emergency department can institute cost-effective changes to realize and sustain significant patient throughput improvements.

Keywords: Joint evaluation treatment; Patient satisfaction; Patient throughput; Rapid care; Split flow.

MeSH terms

  • Crowding*
  • Efficiency, Organizational*
  • Emergency Nursing / methods*
  • Emergency Service, Hospital / organization & administration*
  • Humans
  • Length of Stay / statistics & numerical data
  • New Jersey
  • Patient Satisfaction / statistics & numerical data
  • Triage / methods*