Assessment of Patient Treatment and Rehabilitation Processes Using Electromyography Signals and Selected Industry 4.0 Solutions

Ewa Stawiarska () and Maciej Stawiarski
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Ewa Stawiarska: Faculty of Organisation and Management, Silesian University of Technology, 44-100 Gliwice, Poland
Maciej Stawiarski: Faculty of Medical Biotechnology, Medical University of Lodz, 90-419 Łódz, Poland

IJERPH, 2023, vol. 20, issue 4, 1-17

Abstract: Funding treatment and rehabilitation processes for patients with musculoskeletal conditions is an important part of public health insurance in European Union countries. By 2030, these processes will be planned in national health strategies (sequential process activities will be identified, care packages will be defined, service standards will be described, roles in the implementation of activities will be distinguished). Today, in many countries of the world (including the EU countries), these processes tend not to be very effective and to be expensive for both patients and insurance companies. This article aims to raise awareness of the need for process re-engineering and describes possible tools for assessing patient treatment and rehabilitation processes (using electromyographic signals—EMG and selected Industry 4.0 solutions). This article presents the research methodology prepared for the purpose of process evaluation. The use of this methodology will confirm the hypothesis that the use of EMG signals and selected Industry 4.0 solutions will improve the effectiveness and efficiency of treatment and rehabilitation processes for patients with musculoskeletal injuries.

Keywords: process management; treatment and rehabilitation; electromyography signal; Industry 4.0; e-health (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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