On Providing Multi-Level Quality of Service for Operating Rooms of the Future

The Operating Room (OR) plays an important role in delivering vital medical services to patients in hospitals. Such environments contain several medical devices, equipment, and systems producing valuable information which might be combined for biomedical and surgical workflow analysis. Considering t...

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Main Authors: Vinicius Facco Rodrigues, Rodrigo da Rosa Righi, Cristiano André da Costa, Björn Eskofier, Andreas Maier
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/10/2303
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author Vinicius Facco Rodrigues
Rodrigo da Rosa Righi
Cristiano André da Costa
Björn Eskofier
Andreas Maier
author_facet Vinicius Facco Rodrigues
Rodrigo da Rosa Righi
Cristiano André da Costa
Björn Eskofier
Andreas Maier
author_sort Vinicius Facco Rodrigues
collection DOAJ
description The Operating Room (OR) plays an important role in delivering vital medical services to patients in hospitals. Such environments contain several medical devices, equipment, and systems producing valuable information which might be combined for biomedical and surgical workflow analysis. Considering the sensibility of data from sensors in the OR, independently of processing and network loads, the middleware that provides data from these sensors have to respect applications quality of service (QoS) demands. In an OR middleware, there are two main bottlenecks that might suffer QoS problems and, consequently, impact directly in user experience: (<i>i</i>) simultaneous user applications connecting the middleware; and (<i>ii</i>) a high number of sensors generating information from the environment. Currently, many middlewares that support QoS have been proposed by many fields; however, to the best of our knowledge, there is no research on this topic or the OR environment. OR environments are characterized by being crowded by persons and equipment, some of them of specific use in such environments, as mobile x-ray machines. Therefore, this article proposes QualiCare, an adaptable middleware model to provide multi-level QoS, improve user experience, and increase hardware utilization to middlewares in OR environments. Our main contributions are a middleware model and an orchestration engine in charge of changing the middleware behavior to guarantee performance. Results demonstrate that adapting middleware parameters on demand reduces network usage and improves resource consumption maintaining data provisioning.
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spelling doaj.art-8c3646fb98b0410eabb69560a48ca86b2022-12-22T04:23:37ZengMDPI AGSensors1424-82202019-05-011910230310.3390/s19102303s19102303On Providing Multi-Level Quality of Service for Operating Rooms of the FutureVinicius Facco Rodrigues0Rodrigo da Rosa Righi1Cristiano André da Costa2Björn Eskofier3Andreas Maier4Software Innovation Lab – SOFTWARELAB, Universidade do Vale do Rio dos Sinos – Unisinos São Leopoldo 93022-718, RS, BrazilSoftware Innovation Lab – SOFTWARELAB, Universidade do Vale do Rio dos Sinos – Unisinos São Leopoldo 93022-718, RS, BrazilSoftware Innovation Lab – SOFTWARELAB, Universidade do Vale do Rio dos Sinos – Unisinos São Leopoldo 93022-718, RS, BrazilMachine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, GermanyPattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, GermanyThe Operating Room (OR) plays an important role in delivering vital medical services to patients in hospitals. Such environments contain several medical devices, equipment, and systems producing valuable information which might be combined for biomedical and surgical workflow analysis. Considering the sensibility of data from sensors in the OR, independently of processing and network loads, the middleware that provides data from these sensors have to respect applications quality of service (QoS) demands. In an OR middleware, there are two main bottlenecks that might suffer QoS problems and, consequently, impact directly in user experience: (<i>i</i>) simultaneous user applications connecting the middleware; and (<i>ii</i>) a high number of sensors generating information from the environment. Currently, many middlewares that support QoS have been proposed by many fields; however, to the best of our knowledge, there is no research on this topic or the OR environment. OR environments are characterized by being crowded by persons and equipment, some of them of specific use in such environments, as mobile x-ray machines. Therefore, this article proposes QualiCare, an adaptable middleware model to provide multi-level QoS, improve user experience, and increase hardware utilization to middlewares in OR environments. Our main contributions are a middleware model and an orchestration engine in charge of changing the middleware behavior to guarantee performance. Results demonstrate that adapting middleware parameters on demand reduces network usage and improves resource consumption maintaining data provisioning.https://www.mdpi.com/1424-8220/19/10/2303distributed systemshealth informaticsmiddlewareoperating roomquality of service
spellingShingle Vinicius Facco Rodrigues
Rodrigo da Rosa Righi
Cristiano André da Costa
Björn Eskofier
Andreas Maier
On Providing Multi-Level Quality of Service for Operating Rooms of the Future
Sensors
distributed systems
health informatics
middleware
operating room
quality of service
title On Providing Multi-Level Quality of Service for Operating Rooms of the Future
title_full On Providing Multi-Level Quality of Service for Operating Rooms of the Future
title_fullStr On Providing Multi-Level Quality of Service for Operating Rooms of the Future
title_full_unstemmed On Providing Multi-Level Quality of Service for Operating Rooms of the Future
title_short On Providing Multi-Level Quality of Service for Operating Rooms of the Future
title_sort on providing multi level quality of service for operating rooms of the future
topic distributed systems
health informatics
middleware
operating room
quality of service
url https://www.mdpi.com/1424-8220/19/10/2303
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