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Applications in Predictive Analytics: Ubiquitous Management Methodology for Predictive Maintenance in Medical Devices

Applications in Predictive Analytics: Ubiquitous Management Methodology for Predictive Maintenance in Medical Devices

William Alberto Cruz Castañeda, Renato Garcia Ojeda
Copyright: © 2014 |Pages: 21
ISBN13: 9781466650633|ISBN10: 146665063X|EISBN13: 9781466650640
DOI: 10.4018/978-1-4666-5063-3.ch003
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MLA

Castañeda, William Alberto Cruz, and Renato Garcia Ojeda. "Applications in Predictive Analytics: Ubiquitous Management Methodology for Predictive Maintenance in Medical Devices." Emerging Methods in Predictive Analytics: Risk Management and Decision-Making, edited by William H. Hsu, IGI Global, 2014, pp. 42-62. https://doi.org/10.4018/978-1-4666-5063-3.ch003

APA

Castañeda, W. A. & Ojeda, R. G. (2014). Applications in Predictive Analytics: Ubiquitous Management Methodology for Predictive Maintenance in Medical Devices. In W. Hsu (Ed.), Emerging Methods in Predictive Analytics: Risk Management and Decision-Making (pp. 42-62). IGI Global. https://doi.org/10.4018/978-1-4666-5063-3.ch003

Chicago

Castañeda, William Alberto Cruz, and Renato Garcia Ojeda. "Applications in Predictive Analytics: Ubiquitous Management Methodology for Predictive Maintenance in Medical Devices." In Emerging Methods in Predictive Analytics: Risk Management and Decision-Making, edited by William H. Hsu, 42-62. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-5063-3.ch003

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Abstract

According to the World Health Organization, Healthcare Technology (HT) is defined as the application of techniques and knowledge in the way of devices, medicaments, vaccines, procedures, and systems in order to develop solutions for healthcare problems and enhance the quality of life. Clinical Engineering has emerged as an interdisciplinary profession in the areas of medical equipment and technology management. With the correct support of Information and Communication Technologies (ICTs), these and others questions may be resolved through the ubiquitous environments and services that allow the acquisition, processing, diagnostic, transmission, and information-sharing in real time. Ubiquitous healthcare is a new paradigm that allows developing models and tools that improve the processes through monitoring, evaluation, prediction, and decision-making of the medical equipment condition. This chapter presents an ubiquitous management methodology for predictive maintenance with support of ICT and predictive analysis techniques that enhance decision-making in medical equipment.

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