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

1
Software Innovation Lab – SOFTWARELAB, Universidade do Vale do Rio dos Sinos – Unisinos São Leopoldo 93022-718, RS, Brazil
2
Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany
3
Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany
*
Author to whom correspondence should be addressed.
Current address: Software Innovation Lab – SOFTWARELAB, Universidade do Vale do Rio dos Sinos – Unisinos, Av. Unisinos, 950, 93022-718 São Leopoldo, RS, Brazil.
Sensors 2019, 19(10), 2303; https://doi.org/10.3390/s19102303
Received: 15 March 2019 / Revised: 26 April 2019 / Accepted: 6 May 2019 / Published: 18 May 2019
(This article belongs to the Special Issue Internet of Things Middleware Platforms and Sensing Infrastructure)
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Abstract

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) simultaneous user applications connecting the middleware; and (ii) 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. View Full-Text
Keywords: distributed systems; health informatics; middleware; operating room; quality of service distributed systems; health informatics; middleware; operating room; quality of service
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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 (CC BY 4.0).
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Facco Rodrigues, V.; da Rosa Righi, R.; André da Costa, C.; Eskofier, B.; Maier, A. On Providing Multi-Level Quality of Service for Operating Rooms of the Future. Sensors 2019, 19, 2303.

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