Implementation of Industry 4.0 in Transformation of Medical Device Maintenance Systems

Author:

Gurbeta Pokvic Lejla1,Spahic Lemana2,Badnjevic Almir1

Affiliation:

1. International Burch University, Sarajevo, Bosnia and Herzegovina & Medical Device Inspection Laboratory Verlab, Sarajevo, Bosnia and Herzegovina

2. International Burch University, Bosnia and Herzegovina

Abstract

Due to the development of information communication technologies (ICT), the number of medical devices (MDs) with telemetric possibilities is rising, so the concept of homecare is gaining importance. Also, new generation medical devices are equipped with artificial intelligence that is able to perform real-time analysis of measurement result and provide diagnosis prediction. This is the Industry 4.0 happening now. However, there is still traditional approach in management of medical devices. As medical devices have been sophisticated, management systems should improve so they can encompass all the important aspects regarding safety of patients and quality of care. This chapter presents how the technology of Industry 4.0 can be used to improve medical device maintenance systems by application of artificial intelligence (AI). Clinical engineering and health technology management departments benefit from such systems in terms of increase of safety and quality of patient diagnosis and treatments, and cost optimization in medical device management.

Publisher

IGI Global

Reference42 articles.

1. Access to European Union Law. (n.d.). EU LEX. Available at: https://eur-lex.europa.eu

2. CLASSIFICATION OF METABOLIC SYNDROME PATIENTS USING IMPLEMENTED EXPERT SYSTEM

3. Andriţoi, D., Luca, C., Corciovă, C., & Ciorap, R. (2013, May). Predictive maintenance application for health technology management. In 2013 8th International Symposium on Advanced Topics in Electrical Engineering (ATEE) (pp. 1-4). IEEE.

4. Classification of Respiratory Abnormalities Using Adaptive Neuro Fuzzy Inference System

5. Big data advancing the way Parkinson’s disease is detected. (2018). Retrieved from https://ec.europa.eu/digital-single-market/en/news/big-data-advancing-way-parkinsons-disease-detected

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