Optimization of Multidisciplinary Staffing Improves Patient Experiences at the Mayo Clinic
Published Online:4 Oct 2017https://doi.org/10.1287/inte.2017.0912
References
- (2009) Simulation optimization for an emergency department healthcare unit in Kuwait. Eur. J. Oper. Res. 198(3):936–942.Crossref, Google Scholar
- American Academy of Emergency Medicine (2001) Position statement on emergency physician-to-patient ED staffing ratios. Accessed March 1, 2017, http://www.aaem.org/em-resources/position-statements/workforce/physician-to-patient.Google Scholar
- (2006) Developing models for patient flow and daily surge capacity research. Acad. Emergency Medicine 13(11):1109–1113.Crossref, Google Scholar
- (2001) Relationship between weather and seasonal factors and trauma admission volume at a level I trauma center. J. Trauma Acute Care Surgery 51(1):118–122.Crossref, Google Scholar
- (2013) Hospital value-based purchasing. J. Hospital Medicine 8(5):271–277.Crossref, Google Scholar
- (2012) Predicting emergency department admissions. Emergency Medicine J. 29(5):358–365.Crossref, Google Scholar
- Centers for Disease Control and Prevention (2013) National healthcare and social assistance agenda. Accessed March 1, 2017, http://www.cdc.gov/niosh/nora/comment/agendas/hlthcaresocassist/pdfs/HlthcareSocAssistFeb2013.pdf.Google Scholar
- (2016) Staffing and scheduling under nonstationary demand for service: A literature review. Omega 58(January):4–25.Crossref, Google Scholar
- (2002) Overcrowding in emergency departments: Increased demand and decreased capacity. Ann. Emergency Medicine 39(4):430–432.Crossref, Google Scholar
- (2000) Overcrowding in the nation’s emergency departments: Complex causes and disturbing effects. Ann. Emergency Medicine 35(1):63–68.Crossref, Google Scholar
- (2007) Modeling and improving emergency department systems using discrete event simulation. Simulation 83(4):311–320.Crossref, Google Scholar
- (2001) The Elements of Statistical Learning (Springer, Berlin).Google Scholar
- (2007) Coping with time-varying demand when setting staffing requirements for a service system. Production Oper. Management 16(1):13–39.Crossref, Google Scholar
- (2006) Using queueing theory to increase the effectiveness of emergency department provider staffing. Acad. Emergency Medicine 13(1):61–68.Crossref, Google Scholar
- (2015) A comprehensive review of emergency department simulation applications for normal and disaster conditions. Comput. Indust. Engrg. 83(1):327–344.Crossref, Google Scholar
- (2007) The effect of emergency department expansion on emergency department overcrowding. Acad. Emergency Medicine 14(4):338–343.Crossref, Google Scholar
- Joint Commission (2016) Specifications Manual for National Hospital Inpatient Quality Measures (Joint Commission, Washington, DC).Google Scholar
- (2008) Forecasting daily patient volumes in the emergency department. Acad. Emergency Medicine 15(2):159–170.Crossref, Google Scholar
- (2009) Adding more beds to the emergency department or reducing admitted patient boarding times: Which has a more significant influence on emergency department congestion? Ann. Emergency Medicine 53(5):575–585.Crossref, Google Scholar
- (2014) Are call center and hospital arrivals well modeled by nonhomogeneous Poisson processes? Manufacturing Service Oper. Management 16(3):464–480.Link, Google Scholar
- (2002) Trends in the use and capacity of California’s emergency departments, 1990–1999. Ann. Emergency Medicine 39(4):389–396.Crossref, Google Scholar
- (2008) The challenge of predicting demand for emergency department services. Acad. Emergency Medicine 15(4):337–346.Crossref, Google Scholar
- (2014) Increases in emergency department occupancy are associated with adverse 30-day outcomes. Acad. Emergency Medicine 21(10):1092–1100.Crossref, Google Scholar
- (2014) Effects of emergency department expansion on emergency department patient flow. Acad. Emergency Medicine 21(5):504–509.Crossref, Google Scholar
- (2012) Higher-complexity ED billing codes—Sicker patients, more intensive practice, or improper payments? New England J. Medicine 367(26):2465–2467.Crossref, Google Scholar
- (2012) National trends in emergency department occupancy, 2001 to 2008: Effect of inpatient admissions versus emergency department practice intensity. Ann. Emergency Medicine 60(6):679–686.Crossref, Google Scholar
- (1993) C4.5: Programs for Machine Learning (Morgan Kaufmann Publishers, San Francisco).Google Scholar
- (2001) When the safety net is unsafe: Real-time assessment of the overcrowded emergency department. Acad. Emergency Medicine 8(11):1070–1074.Crossref, Google Scholar
- (1999) Emergency department simulation and determination of optimal attending physician staffing schedules. Farrington PA, Nembhard HB, Sturrock DT, Evans GW, eds. Simulation Conf. Proc., Winter, 1999 (IEEE, Washington, DC), 1532–1540.Crossref, Google Scholar
- (2012) Burnout and satisfaction with work-life balance among US physicians relative to the general US population. Arch. Internal Medicine 172(18):1377–1385.Crossref, Google Scholar
- (2015) Changes in burnout and satisfaction with work-life balance in physicians and the general US working population between 2011 and 2014. Mayo Clinic Proc. 90(12):1600–1613.Crossref, Google Scholar
- (2003) Emergency department overcrowding in the United States: An emerging threat to patient safety and public health. Emergency Medicine J. 20(5):402–405.Crossref, Google Scholar
- (2006) The effect of crowding on access and quality in an academic ED. Amer. J. Emergency Medicine 24(7): 787–794.Crossref, Google Scholar
- (2009) A systematic review of models for forecasting the number of emergency department visits. Emergency Medicine J. 26(6):395–399.Crossref, Google Scholar
- (2015) The most crowded US hospital emergency departments did not adopt effective interventions to improve flow, 2007–10. Health Affairs 34(12):2151–2159.Crossref, Google Scholar
- (2012) Volume-related differences in emergency department performance. Joint Commission J. Quality Patient Safety 38(9):395–395.Crossref, Google Scholar
- (2011) Emergency department operational metrics, measures and definitions: Results of the second performance measures and benchmarking summit. Ann. Emergency Medicine 58(1):33–40.Crossref, Google Scholar

