Discrete-Event Simulation for Primary Care Redesign: Review and a Case Study

Zhou, Zheng–Yi; Matteson, David S.

doi:10.1002/9781118919408.ch13

Cited by 8 publications

(2 citation statements)

References 83 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Given these potentials, the use of computer simulation to study health care delivery systems has significantly increased over the recent years [68]. The resulting body of literature on applications of simulation in health care is rich and can, from a methodological point of view, be classified into four main groups [14]: System dynamics [32,11], discreteevent simulations [30,36], agent-based models [7,64], and hybrid simulations that combine two or more of the former paradigms [13,12].…”

Section: Related Workmentioning

confidence: 99%

“…Simulation models aimed at studying microsystem improvements in primary care systems mostly include a detailed model of a single (specific) outpatient practice and focus on a predefined subset of potential improvements. Zong et al [68] present a discrete event simulation for a pediatric clinic at the University of Wisconsin Health. Their model includes a very detailed representation of the sequential stages during a patient's visit.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Patients, Primary Care, and Policy: Simulation Modeling for Health Care Decision Support

Comis,

Cleophas,

Büsing

2019

Preprint

View full text Add to dashboard Cite

Demand for health care is constantly increasing due to the ongoing demographic change, while at the same time health service providers face difficulties in finding skilled personnel. This creates pressure on health care systems around the world, such that the efficient, nationwide provision of primary health care has become one of society's greatest challenges. Due to the complexity of health care systems, unforeseen future events, and a frequent lack of data, analyzing and optimizing the performance of health care systems means tackling a wicked problem. To support this task for primary care, this paper introduces the hybrid agent-based simulation model SiM-Care. SiM-Care models the interactions of patients and primary care physicians on an individual level. By tracking agent interactions, it enables modelers to assess multiple key indicators such as patient waiting times and physician utilization. Based on these indicators, primary care systems can be assessed and compared. Moreover, changes in the infrastructure, patient behavior, and service design can be directly evaluated. To showcase the opportunities offered by SiM-Care and aid model validation, we present a case study for a primary care system in Germany. Specifically, we in-

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Patients, Primary Care, and Policy: Simulation Modeling for Health Care Decision Support

Comis,

Cleophas,

Büsing

2019

Preprint

View full text Add to dashboard Cite

show abstract

Reducing COPD readmissions through predictive modeling and incentive-based interventions

Zhong

Lee

Zhao

et al. 2017

Health Care Manag Sci

View full text Add to dashboard Cite

This paper introduces a case study at a community hospital to develop a predictive model to quantify readmission risks for patients with chronic obstructive pulmonary disease (COPD), and use it to support decision making for appropriate incentive-based interventions. Data collected from the community hospital's database are analyzed to identify risk factors and a logistic regression model is developed to predict the readmission risk within 30 days post-discharge of an individual COPD patient. By targeting on the high-risk patients, we investigate the implementability of the incentive policy which encourages patients to take interventions and helps them to overcome the compliance barrier. Specifically, the conditions and scenarios are identified for either achieving the desired readmission rate while minimizing the total cost, or reaching the lowest readmission rate under incentive budget constraint. Currently, such models are under consideration for a pilot study at the community hospital.

show abstract