Applications in Predictive Analytics

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.

An Internet of Things-based Predictive Maintenance Architecture for Intensive Care Unit Ventilators

“…A second method was proposed by M. Ullrich, K. Ten Hagen, and J. Lässig, who described a new approach for categorizing maintenance visits according to PdM [19]. To enhance medical device decisionmaking, the following study [20] details a comprehensive PdM management system that makes use of Information and Communication Technologies (ICT) and predictive analysis tools. This paper [21] proposes the following guidelines for a PdM model: It is important to 1) conduct daily QA treatment; 2) transfer and automatically interrogate the resulting log files; 3) analyze daily operating and performance values using statistical process control (SPC) once baselines are established; 4) determine if any alarms have been triggered; and 5) notify facility and system service engineers.…”