This paper presents a framework which makes use of Sentiment Analysis techniques for retrieving Real World Data (RWD) starting from scheduled and corrective maintenance data. The scope of the analysis is to automatically extract features from maintenance work orders, in order to calculate Key Performance Indicators of maintenance operations on medical devices, for Health Technologies Assessment purposes. Data are extracted from Computerized Maintenance Management System reports of healthcare facilities.
Mascii, L., Luschi, A., Iadanza, E. (2021). Sentiment Analysis for Performance Evaluation of Maintenance in Healthcare. In Proceedings of the International Conference on Medical and Biological Engineering, CMBEBIH 2021 (pp.359-367). Cham : Springer [10.1007/978-3-030-73909-6_41].
Sentiment Analysis for Performance Evaluation of Maintenance in Healthcare
alessio luschi;ernesto iadanza
2021-01-01
Abstract
This paper presents a framework which makes use of Sentiment Analysis techniques for retrieving Real World Data (RWD) starting from scheduled and corrective maintenance data. The scope of the analysis is to automatically extract features from maintenance work orders, in order to calculate Key Performance Indicators of maintenance operations on medical devices, for Health Technologies Assessment purposes. Data are extracted from Computerized Maintenance Management System reports of healthcare facilities.
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https://hdl.handle.net/11365/1215440