Cargando…
Axiomatic Design of a Framework for the Comprehensive Optimization of Patient Flows in Hospitals
Lean Management and Six Sigma are nowadays applied not only to the manufacturing industry but also to service industry and public administration. The manifold variables affecting the Health Care system minimize the effect of a narrow Lean intervention. Therefore, this paper aims to discuss a compreh...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5494774/ https://www.ncbi.nlm.nih.gov/pubmed/29065578 http://dx.doi.org/10.1155/2017/2309265 |
_version_ | 1783247718992314368 |
---|---|
author | Arcidiacono, Gabriele Matt, Dominik T. Rauch, Erwin |
author_facet | Arcidiacono, Gabriele Matt, Dominik T. Rauch, Erwin |
author_sort | Arcidiacono, Gabriele |
collection | PubMed |
description | Lean Management and Six Sigma are nowadays applied not only to the manufacturing industry but also to service industry and public administration. The manifold variables affecting the Health Care system minimize the effect of a narrow Lean intervention. Therefore, this paper aims to discuss a comprehensive, system-based approach to achieve a factual holistic optimization of patient flows. This paper debates the efficacy of Lean principles applied to the optimization of patient flows and related activities, structures, and resources, developing a theoretical framework based on the principles of the Axiomatic Design. The demand for patient-oriented and efficient health services leads to use these methodologies to improve hospital processes. In the framework, patients with similar characteristics are clustered in families to achieve homogeneous flows through the value stream. An optimization checklist is outlined as the result of the mapping between Functional Requirements and Design Parameters, with the right sequence of the steps to optimize the patient flow according to the principles of Axiomatic Design. The Axiomatic Design-based top-down implementation of Health Care evidence, according to Lean principles, results in a holistic optimization of hospital patient flows, by reducing the complexity of the system. |
format | Online Article Text |
id | pubmed-5494774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-54947742017-07-13 Axiomatic Design of a Framework for the Comprehensive Optimization of Patient Flows in Hospitals Arcidiacono, Gabriele Matt, Dominik T. Rauch, Erwin J Healthc Eng Research Article Lean Management and Six Sigma are nowadays applied not only to the manufacturing industry but also to service industry and public administration. The manifold variables affecting the Health Care system minimize the effect of a narrow Lean intervention. Therefore, this paper aims to discuss a comprehensive, system-based approach to achieve a factual holistic optimization of patient flows. This paper debates the efficacy of Lean principles applied to the optimization of patient flows and related activities, structures, and resources, developing a theoretical framework based on the principles of the Axiomatic Design. The demand for patient-oriented and efficient health services leads to use these methodologies to improve hospital processes. In the framework, patients with similar characteristics are clustered in families to achieve homogeneous flows through the value stream. An optimization checklist is outlined as the result of the mapping between Functional Requirements and Design Parameters, with the right sequence of the steps to optimize the patient flow according to the principles of Axiomatic Design. The Axiomatic Design-based top-down implementation of Health Care evidence, according to Lean principles, results in a holistic optimization of hospital patient flows, by reducing the complexity of the system. Hindawi 2017 2017-06-19 /pmc/articles/PMC5494774/ /pubmed/29065578 http://dx.doi.org/10.1155/2017/2309265 Text en Copyright © 2017 Gabriele Arcidiacono et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Arcidiacono, Gabriele Matt, Dominik T. Rauch, Erwin Axiomatic Design of a Framework for the Comprehensive Optimization of Patient Flows in Hospitals |
title | Axiomatic Design of a Framework for the Comprehensive Optimization of Patient Flows in Hospitals |
title_full | Axiomatic Design of a Framework for the Comprehensive Optimization of Patient Flows in Hospitals |
title_fullStr | Axiomatic Design of a Framework for the Comprehensive Optimization of Patient Flows in Hospitals |
title_full_unstemmed | Axiomatic Design of a Framework for the Comprehensive Optimization of Patient Flows in Hospitals |
title_short | Axiomatic Design of a Framework for the Comprehensive Optimization of Patient Flows in Hospitals |
title_sort | axiomatic design of a framework for the comprehensive optimization of patient flows in hospitals |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5494774/ https://www.ncbi.nlm.nih.gov/pubmed/29065578 http://dx.doi.org/10.1155/2017/2309265 |
work_keys_str_mv | AT arcidiaconogabriele axiomaticdesignofaframeworkforthecomprehensiveoptimizationofpatientflowsinhospitals AT mattdominikt axiomaticdesignofaframeworkforthecomprehensiveoptimizationofpatientflowsinhospitals AT raucherwin axiomaticdesignofaframeworkforthecomprehensiveoptimizationofpatientflowsinhospitals |