TY - JOUR
T1 - Policies for physician allocation to triage and treatment in emergency departments
AU - Zayas-Caban, Gabriel
AU - Xie, Jingui
AU - Green, Linda V.
AU - Lewis, Mark E.
N1 - Publisher Copyright:
© 2019, © 2019 “IISE”.
PY - 2019/10/2
Y1 - 2019/10/2
N2 - In the emergency department (ED), low-acuity patients divert resources from more critical patients. To facilitate flow, EDs are experimenting with new care models, such as the Triage-Treat-and-Release program at the Lutheran Medical Center (LMC) ED in New York, where physicians handle both phases of service for low-acuity patients. Our goal is to determine how physicians should prioritize triage versus treatment to balance initial delays with timely discharges. Triage and treatment are modeled as a two-phase stochastic service system, where patients may leave without receiving treatment. Patients leaving without receiving treatment increases the importance of the second phase. We introduce K-level threshold policies which prioritize treatment unless there are K or more patients in triage. The effect is a class of policies that capture a decision-maker’s valuation of the importance of each activity; lower K values signifies triage priority. Sufficient conditions are provided to ensure these policies yield a stable system. A heuristic is presented for choosing K. Using LMC data, K-level threshold policies, compared to other practical policies, perform well with respect to average rewards and waiting times over a range of parameters. These policies promise physicians an effective and simple way to allocate their time between triage and treatment.
AB - In the emergency department (ED), low-acuity patients divert resources from more critical patients. To facilitate flow, EDs are experimenting with new care models, such as the Triage-Treat-and-Release program at the Lutheran Medical Center (LMC) ED in New York, where physicians handle both phases of service for low-acuity patients. Our goal is to determine how physicians should prioritize triage versus treatment to balance initial delays with timely discharges. Triage and treatment are modeled as a two-phase stochastic service system, where patients may leave without receiving treatment. Patients leaving without receiving treatment increases the importance of the second phase. We introduce K-level threshold policies which prioritize treatment unless there are K or more patients in triage. The effect is a class of policies that capture a decision-maker’s valuation of the importance of each activity; lower K values signifies triage priority. Sufficient conditions are provided to ensure these policies yield a stable system. A heuristic is presented for choosing K. Using LMC data, K-level threshold policies, compared to other practical policies, perform well with respect to average rewards and waiting times over a range of parameters. These policies promise physicians an effective and simple way to allocate their time between triage and treatment.
KW - Abandonments
KW - ED triage and treatment process
KW - simulation
KW - tandem queue
UR - http://www.scopus.com/inward/record.url?scp=85067617616&partnerID=8YFLogxK
U2 - 10.1080/24725579.2019.1620384
DO - 10.1080/24725579.2019.1620384
M3 - Article
AN - SCOPUS:85067617616
SN - 2472-5579
VL - 9
SP - 342
EP - 356
JO - IISE Transactions on Healthcare Systems Engineering
JF - IISE Transactions on Healthcare Systems Engineering
IS - 4
ER -