Predictive Maintenance in healthcare system: A Survey
نویسندگان
چکیده
Medical devices are a vital component of healthcare systems, the advantages they may give continue to grow as crucial for safe and effective prevention, diagnosis, treatment, rehabilitation illnesses diseases. Therefore, it is critical maintain them in good operating order ensure optimum availability, minimal failures, guarantee patients’ users’ safety. The stages involved medical regulation management complex, but necessary their quality, safety, compatibility with settings which used. equipment complexity has increased due technological advancement traditional maintenance strategies do not meet needs today’s organizations. integrating information technology, social networking technologies, digitization devices, use big data technologies Machine Learning (ML) techniques potential significantly improve services. Integrating autonomous intelligent systems where sophisticated analytics be employed led enhanced collecting via deployment communication notably devices. With this came an increase Predictive Maintenance (PdM) solutions. PdM become commonly used approach, described set procedures evaluate condition predict future failures. These estimations then utilized schedule activities through smart scheduling procedures, aids preventing or at least minimizing impacts unanticipated purpose article present Systematic Literature Review (SLR) exploring reviewing prior research on subject developments method, particularly field. In addition supporting new projects sector, paper offers foundation understanding approaches, key findings, problems, potential. This review focuses two scientific databases from substantial number articles dedicated solely field have been retrieved analysis. Our us conclude that, despite many benefits predictive field, concept still being under-exploited faces obstacles.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2023
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2023.3287490