Early Task Initiation and Other Load-Adaptive Mechanisms in the Emergency Department

We study a multistage service process that adapts to system occupancy level. Using operational data from more than 140,000 patient visits to a hospital emergency department, we show that the system-level performance of the emergency department is an aggregation of several simultaneous server-level workload response mechanisms. We identify early task initiation as a between-stage adaptive response mechanism that occurs when an upstream stage initiates tasks that are normally handled by a downstream stage. We show that having some diagnostic tests ordered during the triage process reduces treatment time by 20 minutes, on average. However, ordering too many tests at triage can lead to an increase in the total number of tests performed on the patient. We also demonstrate the presence of other response mechanisms such as queuing delays for tasks such as medication delivery, and rushing as nurses spend less time with their patients when the queue length is high. This paper was accepted by Serguei Netessine, ope...

[1]  Genji Yamazaki,et al.  An optimal design problem for limited processor sharing systems , 1987 .

[2]  Christian Terwiesch,et al.  The Impact of Work Load on Service Time and Patient Safety: An Econometric Analysis of Hospital Operations , 2009, Manag. Sci..

[3]  Ricardo Valerdi,et al.  Systems engineering cost estimation with a parametric model , 2013 .

[4]  Jillian A. Berry Jaeker,et al.  Past the Point of Speeding Up: The Negative Effects of Workload Saturation on Efficiency and Patient Severity , 2017, Manag. Sci..

[5]  Patrick T. Harker,et al.  Modeling a Phone Center: Analysis of a Multichannel, Multiresource Processor Shared Loss System , 2001, Manag. Sci..

[6]  Christian Terwiesch,et al.  The financial consequences of lost demand and reducing boarding in hospital emergency departments. , 2011, Annals of emergency medicine.

[7]  Stefan Scholtes,et al.  Stress on the Ward: Evidence of Safety Tipping Points in Hospitals , 2015, Manag. Sci..

[8]  Peter J Pronovost,et al.  National study of patient, visit, and hospital characteristics associated with leaving an emergency department without being seen: predicting LWBS. , 2009, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[9]  Bradley R. Staats,et al.  Specialization and Variety in Repetitive Tasks: Evidence from a Japanese Bank , 2011, Manag. Sci..

[10]  Richard C. Larson,et al.  OR Forum - Perspectives on Queues: Social Justice and the Psychology of Queueing , 1987, Oper. Res..

[11]  Jeffrey M. Wooldridge,et al.  Introductory Econometrics: A Modern Approach , 1999 .

[12]  J. Michael Harrison,et al.  Dynamic Control of a Queue with Adjustable Service Rate , 2001, Oper. Res..

[13]  Peng Sun,et al.  Diagnostic Accuracy Under Congestion , 2013, Manag. Sci..

[14]  Serguei Netessine,et al.  Informativeness, Incentive Compensation, and the Choice of Inventory Buffer , 2008 .

[15]  Cara Schlegel,et al.  Can real time location system technology (RTLS) provide useful estimates of time use by nursing personnel? , 2014, Research in nursing & health.

[16]  Arthur L Kellermann,et al.  Crisis in the emergency department. , 2006, The New England journal of medicine.

[17]  Adedeji Badiru Handbook of Industrial and Systems Engineering, Second Edition , 2013 .

[18]  Ellen Weber,et al.  Solutions to emergency department 'boarding' and crowding are underused and may need to be legislated. , 2012, Health Affairs.

[19]  Linda Fahey,et al.  Expanding Potential of Radiofrequency Nurse Call Systems to Measure Nursing Time in Patient Rooms , 2013, The Journal of nursing administration.

[20]  James Durbin,et al.  Testing for Serial Correlation in Least-Squares Regression When Some of the Regressors are Lagged Dependent Variables , 1970 .

[21]  J. Lind,et al.  With or Without U? The Appropriate Test for a U-Shaped Relationship , 2007 .

[22]  Michael Freeman,et al.  Gatekeepers at Work: An Empirical Analysis of a Maternity Unit , 2017, Manag. Sci..

[23]  Haitao Chu,et al.  Parametric survival analysis and taxonomy of hazard functions for the generalized gamma distribution , 2007, Statistics in medicine.

[24]  Rogelio Oliva,et al.  Cutting Corners and Working Overtime: Quality Erosion in the Service Industry , 2001, Manag. Sci..

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

[26]  Alfonso Miranda,et al.  Endogenous treatment effects for count data models with endogenous participation or sample selection. , 2011, Health economics.

[27]  Dominik Aronsky,et al.  Crowding delays treatment and lengthens emergency department length of stay, even among high-acuity patients. , 2009, Annals of emergency medicine.

[28]  Ronald G. Askin,et al.  Dynamic task assignment for throughput maximization with worksharing , 2006, Eur. J. Oper. Res..

[29]  Carolyn M Clancy,et al.  Emergency departments in crisis: opportunities for research. , 2007, Health services research.

[30]  Wallace J. Hopp,et al.  Factory physics : foundations of manufacturing management , 1996 .

[31]  Serguei Netessine,et al.  When Does the Devil Make Work? An Empirical Study of the Impact of Workload on Worker Productivity , 2014, Manag. Sci..

[32]  J. Little A Proof for the Queuing Formula: L = λW , 1961 .

[33]  Kenneth L. Schultz,et al.  Modeling and worker motivation in JIT production systems , 1998 .

[34]  O. Soremekun,et al.  Setting wait times to achieve targeted left-without-being-seen rates. , 2014, The American journal of emergency medicine.

[35]  W. V. D. Ven,et al.  The demand for deductibles in private health insurance: A probit model with sample selection , 1981 .

[36]  Gabriel Zayas-Cabán,et al.  Optimal Control of an Emergency Room Triage and Treatment Process , 2014 .

[37]  Robert Quattlebaum,et al.  Impact of emergency department volume on registered nurse time at the bedside. , 2005, Annals of emergency medicine.

[38]  Christian Terwiesch,et al.  An Econometric Analysis of Patient Flows in the Cardiac Intensive Care Unit , 2012, Manuf. Serv. Oper. Manag..

[39]  Robert J. Batt,et al.  Waiting Patiently: An Empirical Study of Queue Abandonment in an Emergency Department , 2015, Manag. Sci..

[40]  Wallace J. Hopp,et al.  Operations Systems with Discretionary Task Completion , 2006, Manag. Sci..

[41]  T. B. Crabill Optimal Control of a Service Facility with Variable Exponential Service Times and Constant Arrival Rate , 1972 .

[42]  Anita L. Tucker,et al.  The Diseconomies of Queue Pooling: An Empirical Investigation of Emergency Department Length of Stay , 2015, Manag. Sci..