Multi-objective design of risk-adjusted control chart in healthcare systems with economic and statistical considerations

Rafiei, Navid; Asadzadeh, Shervin; Niaki, Seyed Taghi Akhavan

doi:10.1080/03610918.2021.1923744

Cited by 3 publications

(1 citation statement)

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“…However, the economic design of control charts may lead to poor statistical properties, making managers' decisions to use control charts doubtful. Statistical properties include the probability of type I and II errors or the in-control and out-of-control Average Run Length (ARL) [8]. Saniga [9] introduced the Economic-Statistical Design (ESD) by adding type I and type II errors as constraints to Duncan's economic model to improve the statistical properties of a control chart designed with economic models.…”

Section: Introductionmentioning

confidence: 99%

Designing a Log-Logistic-Based EWMA Control Chart Using MOPSO and VIKOR Approaches for Monitoring Cardiac Surgery Performance

Pour,

Azizi,

Rahimzadeh

et al. 2023

Decis. Mak. Appl. Manag. Eng.

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This study aims to develop a risk-adjusted Exponentially Weighted Moving Average (EWMA) control chart for computer-based performance monitoring in cardiac surgery. Patients have distinct risk factors that impact the surgical process before it even begins. As a result, risk adjustment is carried out utilizing the Accelerated Failure Time (AFT) model to consider these factors. Before using the risk-adjusted EWMA chart, the optimal parameter design should be established, considering the required statistical and economic factors. A model for Multi-Objective Decision Making (MODM) with multiple assignable causes has been proposed to accomplish this. The model is solved using a two-stage methodology based on the Multi-Objective Particle Swarm Optimization (MOPSO) method and the VIekriterijumsko KOmpromisno Rangiranje (VIKOR) method. An actual case study for cardiovascular patients has been undertaken to demonstrate the performance and effectiveness of the suggested model. The multi-objective and pure economic models have been thoroughly compared. The economic model with statistical constraints and the multi-objective model have also been compared again. The findings suggest that the multi-objective design of the risk-adjusted EWMA chart exhibits higher statistical performance in both cases against a small augment in cost.

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Section: Introductionmentioning

confidence: 99%