DMAIC in improving patient care processes: Replication and Lessons learned in context of healthcare

Reis, Milena Estanislau Diniz Mansur dos; Abreu, Melissa Felix de; Neto, Olavo de Oliveira Braga; Viera, Luis Enrique Valdiviezo; Torres, Luis Fernando; Calado, Robisom Damasceno

doi:10.1016/j.ifacol.2022.09.451

Cited by 2 publications

(5 citation statements)

References 14 publications

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“…Statistical Process Control (SPC) is used to analyze and control the process. performance, proactive control of processes, distinguishing between natural and assignable variation, identifying and preventing the process of special causes, and involves the use of control charts to determine if a process is operating under control (Estanislau et al 2022). The best tool for investigating variation in a process is a control chart.…”

Section: Statistical Process Controlmentioning

confidence: 99%

6 Sigma Methodology: Basic Tool Teaching and Application for Beginning Practitioners in Automotive Assembly

Baro

Reyes

2023

Preprint

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6 Sigma works with projects called DMAIC to reduce problems that are classified as quality-critical, transportation-critical, or cost critical. A DMAIC project stands for Define, Measure, Analyze, Implement Improvements, and Control. With this DMAIC methodology, the reduction of the variation that arises from the types of problems that were mentioned within the 6 Sigma methodology is sought. In this way, in each phase of the project or DMAIC process, different types of quality tools are used that serve to obtain the objective of each stage. Then, the objective of this research is the presentation of the most effective tools of the methodology and how they can be applied to any type of problem to increase efficiency and productivity, only and so that beginning practitioners can begin to implement it in any project regardless of the degree they are studying.

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Section: Statistical Process Controlmentioning

confidence: 99%

6 Sigma Methodology: Basic Tool Teaching and Application for Beginning Practitioners in Automotive Assembly

Baro

Reyes

2023

Preprint

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“…Various healthcare practices are highlighted in literature, nevertheless they focus on hard factors, such as SS, or soft ones, like Lean, and not on their combination. For example, in the sphere of SS, the application of the DMAIC, Value Stream Mapping (VSM) and Visual Management as hard factors has proven effective in improving patient care processes (dos Reis et al, 2022). Conversely, for Lean Management, the emphasis is placed on the impact of incorporating soft and human aspects in fostering hospital performance, such as continuous improvement, effective leadership, collaboration and communication (Waring and Bishop, 2010;Alkhaldi and Abdallah, 2020).…”

Section: Theoretical Background 21 Lean Six Sigma In Healthcarementioning

confidence: 99%

“…This study examined LSS&QPI initiatives in public and private Italian hospitals to identify differences in their implementation and to investigate the effects of gender differences on healthcare professionals' behaviour. Previous studies have investigated LSS in public or private healthcare settings by focusing on specific processes (dos Reis et al, 2022;Marin-Garcia et al, 2021). However, this study provides a more holistic analysis, comparing Italian public and private hospitals and assessing the different perceptions of implementing LSS&QPI initiatives hospital-wide.…”

Section: Conclusion Limitations and Further Research Directionsmentioning

confidence: 99%

Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Conclusion Limitations and Further Research Directionsmentioning

confidence: 99%

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Lean Six Sigma and quality performance in Italian public and private hospitals: a gender perspective

Ciasullo,

Douglas,

Romeo

et al. 2023

IJQRM

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PurposeLean Six Sigma in public and private healthcare organisations has received considerable attention over the last decade. Nevertheless, such process improvement methodologies are not generalizable, and their effective implementation relies on contextual variables. The purpose of this study is to explore the readiness of Italian hospitals for Lean Six Sigma and Quality Performance Improvement (LSS&QPI), with a focus on gender differences.Design/methodology/approachA survey comprising 441 healthcare professionals from public and private hospitals was conducted. Multivariate analysis of variance was used to determine the mean scores on the LSS&QPI dimensions based on hospital type, gender and their interaction.FindingsThe results showed that public healthcare professional are more aware of quality performance improvement initiatives than private healthcare professionals. Moreover, gender differences emerged according to the type of hospital, with higher awareness for men than women in public hospitals, whereas for private hospitals the opposite was true.Research limitations/implicationsThis study contributes to the Lean Six Sigma literature by focusing on the holistic assessment of LSS&QPI implementation.Practical implicationsThis study informs healthcare managers about the revolution within healthcare organisations, especially public ones. Healthcare managers should spend time understanding Lean Six Sigma as a strategic orientation to promote the “lean hospital”, improving processes and fostering patient-centredness.Originality/valueThis is a preliminary study focussing on analysing inter-relationship between perceived importance of soft readiness factors such as gender dynamics as a missing jigsaw in the current literature. In addition, the research advances a holistic assessment of LSS&QPI, which sets it apart from the studies on single initiatives that have been documented to date.

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DMAIC in improving patient care processes: Replication and Lessons learned in context of healthcare

Cited by 2 publications

References 14 publications

6 Sigma Methodology: Basic Tool Teaching and Application for Beginning Practitioners in Automotive Assembly

6 Sigma Methodology: Basic Tool Teaching and Application for Beginning Practitioners in Automotive Assembly

Lean Six Sigma and quality performance in Italian public and private hospitals: a gender perspective

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