Title:	A MULTI-SENSOR APPROACH TO BUSINESS PROCESS MANAGEMENT: APPLICATION FOR THE HEALTH CARE FIELD
Author(s):	Syrine Khalfallah, Asma Daassa and Sonia Ayachi Ghannouchi
ISBN:	978-989-8704-48-1
Editors:	Miguel Baptista Nunes, Pedro Isaías and Philip Powell
Year:	2023
Edition:	Single
Keywords:	E-health, Internet of Things, Business Process Management, Covid-19, Multi-Sensor Approach, Decision Tree
Type:	Full Paper
First Page:	181
Last Page:	188
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	Since the global health disaster of COVID-19, the health professionals have been looking for new technologies to monitor and mitigate the number of patients affected by this pandemic. Through this research work, we seek to optimize the healthcare process of the infectious disease department of a hospital through the proposal of an approach that integrates IoT devices into the care process model. More generally, we propose the integration of a set of sensors in business processes and analyze their effect to improve their performance. To reach our objective we developed a Framework intended for the doctor which aims to group together the different measurements from the different IoT devices that can be used during COVID-19 health care. We tested the approach by collecting two different measures which are oxygen saturation and heart rate. These measurements were obtained thanks to an oximeter. Our approach is valid for a multi-sensor solution with several measured data. We have adopted an analysis through the decision tree which is one of the data mining techniques in order to facilitate the diagnosis and improve the process of care against the COVID-19 pandemic.
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