Emergency Department Rotational Patient Assignment.

STUDY OBJECTIVE We compare emergency department (ED) operational metrics obtained in the first year of a rotational patient assignment system (in which patients are assigned to physicians automatically according to an algorithm) with those obtained in the last year of a traditional physician self-assignment system (in which physicians assigned themselves to patients at physician discretion). METHODS This was a pre-post retrospective study of patients at a single ED with no financial incentives for physician productivity. Metrics of interest were length of stay; arrival-to-provider time; rates of left before being seen, left subsequent to being seen, early returns (within 72 hours), and early returns with admission; and complaint ratio. RESULTS We analyzed 23,514 visits in the last year of physician self-assignment and 24,112 visits in the first year of rotational patient assignment. Rotational patient assignment was associated with the following improvements (percentage change): median length of stay 232 to 207 minutes (11%), median arrival to provider time 39 to 22 minutes (44%), left before being seen 0.73% to 0.36% (51%), and complaint ratio 9.0/1,000 to 5.4/1,000 (40%). There were no changes in left subsequent to being seen, early returns, or early returns with admission. CONCLUSION In a single facility, the transition from physician self-assignment to rotational patient assignment was associated with improvement in a broad array of ED operational metrics. Rotational patient assignment may be a useful strategy in ED front-end process redesign.

[1]  Beatrice Hoffmann,et al.  Seventy-two-hour returns may not be a good indicator of safety in the emergency department: a national study. , 2011, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[2]  Brian H Rowe,et al.  The impact of consultation on length of stay in tertiary care emergency departments , 2013, Emergency Medicine Journal.

[3]  K. Yen,et al.  The effect of in-room registration on emergency department length of stay. , 2005, Annals of emergency medicine.

[4]  Timothy J. Vogus,et al.  The nature and necessity of operational flexibility in the emergency department. , 2015, Annals of emergency medicine.

[5]  Jeffrey S. Desmond,et al.  Effect of testing and treatment on emergency department length of stay using a national database. , 2012, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[6]  T. Kirsch,et al.  Effect of rotational patient assignment on emergency department length of stay. , 1996, The Journal of emergency medicine.

[7]  Todd Chang,et al.  Traditional nurse triage vs physician telepresence in a pediatric ED. , 2014, The American journal of emergency medicine.

[8]  D. Debehnke,et al.  The effects of a physician-nurse patient care team on patient satisfaction in an academic ED. , 2002, The American journal of emergency medicine.

[9]  Ralph Gonzales,et al.  Factors associated with longer ED lengths of stay. , 2007, The American journal of emergency medicine.

[10]  Soroush Saghafian,et al.  Operations research/management contributions to emergency department patient flow optimization: Review and research prospects , 2015 .

[11]  S. Rodi,et al.  Evaluation of a Fast Track Unit: Alignment of Resources and Demand Results in Improved Satisfaction and Decreased Length of Stay for Emergency Department Patients , 2006, Quality management in health care.

[12]  David F.M. Brown,et al.  A long-term analysis of physician triage screening in the emergency department. , 2013, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[13]  Wallace J. Hopp,et al.  Complexity-Augmented Triage: A Tool for Improving Patient Safety and Operational Efficiency , 2013, Manuf. Serv. Oper. Manag..

[14]  Shari J. Welch,et al.  Emergency department operational metrics, measures and definitions: results of the Second Performance Measures and Benchmarking Summit. , 2011, Annals of emergency medicine.

[15]  Wallace J. Hopp,et al.  Patient Streaming as a Mechanism for Improving Responsiveness in Emergency Departments , 2012, Oper. Res..

[16]  Avishai Mandelbaum,et al.  Telephone Call Centers: Tutorial, Review, and Research Prospects , 2003, Manuf. Serv. Oper. Manag..

[17]  J. Wiler,et al.  Optimizing emergency department front-end operations. , 2010, Annals of emergency medicine.

[18]  S. Abbuhl,et al.  Strategies for dealing with emergency department overcrowding: a one-year study on how bedside registration affects patient throughput times. , 2007, The Journal of emergency medicine.

[19]  S. Ieraci,et al.  Streaming by case complexity: Evaluation of a model for emergency department Fast Track , 2008, Emergency medicine Australasia : EMA.

[20]  E. L. Hahne,et al.  Round-Robin Scheduling for Max-Min Fairness in Data Networks , 1991, IEEE J. Sel. Areas Commun..

[21]  R. Shaw,et al.  Emergency department satisfaction: what matters most? , 1993, Annals of emergency medicine.

[22]  C. Lipinski,et al.  Emergency department physician telemedical triage. , 2013, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[23]  Rhonda J Rosychuk,et al.  Characteristics of patients who leave emergency departments without being seen. , 2006, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[24]  Shari J. Welch,et al.  Emergency department performance measures updates: proceedings of the 2014 emergency department benchmarking alliance consensus summit. , 2015, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[25]  David R Vinson,et al.  Team assignment system: expediting emergency department care. , 2004, Annals of emergency medicine.

[26]  Jason Imperato,et al.  Physician in triage improves emergency department patient throughput , 2012, Internal and Emergency Medicine.

[27]  C. Lipinski,et al.  Emergency department rapid medical assessment: overall effect and mechanistic considerations. , 2015, The Journal of emergency medicine.

[28]  F. Lau,et al.  Waiting time in an urban accident and emergency department--a way to improve it. , 1997, Journal of accident & emergency medicine.

[29]  S. Zeger,et al.  Longitudinal data analysis using generalized linear models , 1986 .

[30]  David C. Chan Teamwork and Moral Hazard: Evidence from the Emergency Department , 2016, Journal of Political Economy.