2017
DOI: 10.1016/j.cie.2016.11.036
|View full text |Cite
|
Sign up to set email alerts
|

A simulation and optimization based method for calibrating agent-based emergency department models under data scarcity

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
40
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
4
3
1

Relationship

2
6

Authors

Journals

citations
Cited by 52 publications
(40 citation statements)
references
References 22 publications
0
40
0
Order By: Relevance
“…The values of the PaT have been calculated from the calibration of the ED simulator using actual historical records from Tauli Hospital. Furthermore, it is important to note that the ED simulator contemplates a random exponential distribution to model the behavior of attention time by the staff, as well as the acuity level and the age of each patient [27]. We carried out a statistical analysis using the output of the simulation, which is given as the result of the mean PaT value for patients.…”
Section: A Distribution Of Non-critical Patients: System Statementioning
confidence: 99%
“…The values of the PaT have been calculated from the calibration of the ED simulator using actual historical records from Tauli Hospital. Furthermore, it is important to note that the ED simulator contemplates a random exponential distribution to model the behavior of attention time by the staff, as well as the acuity level and the age of each patient [27]. We carried out a statistical analysis using the output of the simulation, which is given as the result of the mean PaT value for patients.…”
Section: A Distribution Of Non-critical Patients: System Statementioning
confidence: 99%
“…In this method, a complex system can be modeled as a set of independent entities called agents who can interact with each other, make self-governing decisions, and indicate proactive behavior based on their goals [15], [16], [17], [18] and [19]. Linear and non-linear analyses with different levels of modeling complexities have been used in earlier studies to investigate impacts of patient's behavior, number of ED visits [20], [21] and [8], aging population and NCDs [22], on LoS and ED quality of care [23], [24]. Liu at [21] simulated ED using ABMS where patients were classified according to their level of acuity.…”
Section: Introductionmentioning
confidence: 99%
“…Linear and non-linear analyses with different levels of modeling complexities have been used in earlier studies to investigate impacts of patient's behavior, number of ED visits [20], [21] and [8], aging population and NCDs [22], on LoS and ED quality of care [23], [24]. Liu at [21] simulated ED using ABMS where patients were classified according to their level of acuity. In this model, patients, ED staff, and hospital physical resources were agents whose actions and interactions were modeled in the ED simulator.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…For example, in the context of a biomedical ABM one of those rules might be the definition of a cytokine signaling pathway, i.e., Tumor Necrosis Factor α (TNFα) upregulates Interleukin-10 (IL-10). The quantification of the effect that TNFα has on IL-10 in this hypothetical rule is determined during the model calibration, a critical step in the development and refinement of an ABM (11)(12)(13)(14)(15).…”
Section: Introductionmentioning
confidence: 99%