Abstract
This paper presents a methodology proposal for defining indicators in ubiquitous management on primary health care. With a multidisciplinary team, health technology indicators were identified through quality tools to classify fault parameters. Data collection was performed in a clinical engineering information system, with equipment that compose the technologic park of primary health care from 2014 to 2018. In the categorization of the data, sixty classes of equipment were listed, totaling 3053 equipment distributed in the network of primary care in the city of Florianópolis-Santa Catarina-Brazil. In these five years, 17638 work order accounted for the study were generated. After applying quality tools, such as Ishikawa diagrams, the dental compressor was chosen to validate the proposal and determine the parameters to be monitored in order to support the performance of clinical engineering in a predictive model. This methodology enables maintenance management, providing reliability and safety to the primary care system.
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Filho, R.D.S., Martins, J., Garcia, R. (2020). Methodology for Defining Ubiquitous Management Indicators in Primary Health Care. In: González Díaz, C., et al. VIII Latin American Conference on Biomedical Engineering and XLII National Conference on Biomedical Engineering. CLAIB 2019. IFMBE Proceedings, vol 75. Springer, Cham. https://doi.org/10.1007/978-3-030-30648-9_167
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DOI: https://doi.org/10.1007/978-3-030-30648-9_167
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