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Performance and availability evaluation of an smart hospital architecture
Low latency and high availability of resources are essential characteristics to guarantee the quality of services in health systems. Hospital systems must be efficient to prevent loss of human life. Smart hospitals promise a health revolution by capturing and transmitting patient data to doctors in...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254637/ http://dx.doi.org/10.1007/s00607-021-00979-x |
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author | Rodrigues, Laécio Gonçalves, Igor Fé, Iure Endo, Patricia Takako Silva, Francisco Airton |
author_facet | Rodrigues, Laécio Gonçalves, Igor Fé, Iure Endo, Patricia Takako Silva, Francisco Airton |
author_sort | Rodrigues, Laécio |
collection | PubMed |
description | Low latency and high availability of resources are essential characteristics to guarantee the quality of services in health systems. Hospital systems must be efficient to prevent loss of human life. Smart hospitals promise a health revolution by capturing and transmitting patient data to doctors in real-time via a wireless sensor network. However, there is a significant difficulty in assessing the performance and availability of such systems in real contexts due to failures not being tolerated and high implementation costs. This paper adopts analytical models to assess the performance and availability of intelligent hospital systems without having to invest in real equipment beforehand. Two Stochastic Petri Net models were proposed to represent intelligent hospital architectures. One model is used to assess performance, and another to assess availability. The models are pretty parametric, making it possible to calibrate the resources, service times, times between failures, and times between repairs. The availability model, for example, allows you to define 48 parameters, allowing you to evaluate a large number of scenarios. The analysis showed that the arrival rate in the performance model is an impacting parameter. It was possible to observe the close relationship between MRT, resource utilization, and discard rate in different scenarios, especially for high arrival rates. Three scenarios were explored considering the second model. The highest availability results were observed in scenario A, composed of server redundancy (local and remote). Such scenario—with redundancy—presented an availability of 99.9199%, that is, 7.01 h/year of inactivity. In addition, this work presents a sensitivity analysis that identifies the most critical components of the architecture. Therefore, this work can help hospital system administrators plan more optimized architectures according to their needs. |
format | Online Article Text |
id | pubmed-8254637 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-82546372021-07-06 Performance and availability evaluation of an smart hospital architecture Rodrigues, Laécio Gonçalves, Igor Fé, Iure Endo, Patricia Takako Silva, Francisco Airton Computing Regular Paper Low latency and high availability of resources are essential characteristics to guarantee the quality of services in health systems. Hospital systems must be efficient to prevent loss of human life. Smart hospitals promise a health revolution by capturing and transmitting patient data to doctors in real-time via a wireless sensor network. However, there is a significant difficulty in assessing the performance and availability of such systems in real contexts due to failures not being tolerated and high implementation costs. This paper adopts analytical models to assess the performance and availability of intelligent hospital systems without having to invest in real equipment beforehand. Two Stochastic Petri Net models were proposed to represent intelligent hospital architectures. One model is used to assess performance, and another to assess availability. The models are pretty parametric, making it possible to calibrate the resources, service times, times between failures, and times between repairs. The availability model, for example, allows you to define 48 parameters, allowing you to evaluate a large number of scenarios. The analysis showed that the arrival rate in the performance model is an impacting parameter. It was possible to observe the close relationship between MRT, resource utilization, and discard rate in different scenarios, especially for high arrival rates. Three scenarios were explored considering the second model. The highest availability results were observed in scenario A, composed of server redundancy (local and remote). Such scenario—with redundancy—presented an availability of 99.9199%, that is, 7.01 h/year of inactivity. In addition, this work presents a sensitivity analysis that identifies the most critical components of the architecture. Therefore, this work can help hospital system administrators plan more optimized architectures according to their needs. Springer Vienna 2021-07-03 2021 /pmc/articles/PMC8254637/ http://dx.doi.org/10.1007/s00607-021-00979-x Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Regular Paper Rodrigues, Laécio Gonçalves, Igor Fé, Iure Endo, Patricia Takako Silva, Francisco Airton Performance and availability evaluation of an smart hospital architecture |
title | Performance and availability evaluation of an smart hospital architecture |
title_full | Performance and availability evaluation of an smart hospital architecture |
title_fullStr | Performance and availability evaluation of an smart hospital architecture |
title_full_unstemmed | Performance and availability evaluation of an smart hospital architecture |
title_short | Performance and availability evaluation of an smart hospital architecture |
title_sort | performance and availability evaluation of an smart hospital architecture |
topic | Regular Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254637/ http://dx.doi.org/10.1007/s00607-021-00979-x |
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