RESUMEN
Discrete-event simulation (DES) is a stochastic modeling approach widely used to address dynamic and complex systems, such as healthcare. In this review, academic databases were systematically searched to identify 231 papers focused on DES modeling in healthcare. These studies were sorted by year, approach, healthcare setting, outcome, provenance, and software use. Among the surveys, conceptual/theoretical studies, reviews, and case studies, it was found that almost two-thirds of the theoretical articles discuss models that include DES along with other analytical techniques, such as optimization and lean/six sigma, and one-third of the applications were carried out in more than one healthcare setting, with emergency departments being the most popular. Moreover, half of the applications seek to improve time- and efficiency-related metrics, and one-third of all papers use hybrid models. Finally, the most popular DES software is Arena and Simul8. Overall, there is an increasing trend towards using DES in healthcare to address issues at an operational level, yet less than 10% of DES applications present actual implementations following the modeling stage. Thus, future research should focus on the implementation of the models to assess their impact on healthcare processes, patients, and, possibly, their clinical value. Other areas are DES studies that emphasize their methodological formulation, as well as the development of frameworks for hybrid models.
Asunto(s)
Atención a la Salud , Instituciones de Salud , Humanos , Modelos Teóricos , Programas InformáticosRESUMEN
PURPOSE: The purpose of this study is to assess the state at which lean and six sigma (LSS) are used as a management system to improve the national health system national health system of Mexico. DESIGN/METHODOLOGY/APPROACH: Cross-sectional survey-research. The survey was administered at 30 different hospitals across six states in Mexico. These were selected using convenience sampling and participants (N = 258) were selected through random/snowball sampling procedures, including from top managers down to front-line staff. FINDINGS: Only 16 per cent of respondents reported participation in LSS projects. Still, these implementations are limited to using isolated tools, mainly 5s, failure mode and effects analysis (FMEA) and Fishbone diagram, with the lack of training/knowledge and financial resources as the top disabling factors. Overall, LSS has not become systematic in daily management and operations. RESEARCH LIMITATIONS/IMPLICATIONS: The sampling procedure was by convenience; however, every attempt was made to ensure a lack of bias in the individual responses. If still there was a bias, it is conjectured that this would likely be in overestimating the penetration of LSS. PRACTICAL IMPLICATIONS: The penetration of LSS management practices into the Mexican health system is in its infancy, and the sustainability of current projects is jeopardized given the lack of systematic integration. Hence, LSS should be better spread and communicated across healthcare organizations in Mexico. ORIGINALITY/VALUE: This is the first research work that evaluates the use of LSS management practices in a Latin American country, and the first journal paper that focuses on LSS in healthcare in Mexico.
Asunto(s)
Instituciones de Salud , Mejoramiento de la Calidad , Gestión de la Calidad Total , Estudios Transversales , Atención a la Salud , Eficiencia Organizacional , Humanos , México , Gestión de la Calidad Total/métodosRESUMEN
BACKGROUND AND OBJECTIVES: Health care is a complex industry in which professionals are facing the challenge of balancing lower costs with better health and quality of care. To remain competitive, health care organizations have promoted the use of Lean and Six Sigma in various settings. More than 300 refereed English-language articles about Lean and/or Six Sigma in health care are found in the literature, and many reviews have been published on this subject. METHODS: This article characterizes the literature by evaluating and classifying 22 reviews, based on year of publication, country, taxonomy, health care setting, outcome, tools, and enabling factors, in order to identify gaps in the literature and set new directions for research. RESULTS: Findings indicate that 90% of reviews are characterized by restrictive inclusion criteria that result in the inclusion of only 3% to 66% of the literature at the corresponding time. Furthermore, there is no full comprehensive literature review available on Lean and Six Sigma in health care. Other gaps in the literature include more studies with better research design, broader applications in various health care settings and various countries, sustainability assessment and long-term effects, and evidence of failed Lean and Six Sigma implementations. CONCLUSION: This study provides an updated starting point for future research to researchers and practitioners in the field.