Adaptative vital signs monitoring system based on the early warning score approach in smart hospital context
Abstract Changes in vital signs are an important indicator of physiological decline and provide opportunities for early recognition and intervention. The collected vital signs data can be evaluated using several approaches such as the Early warning score (EWS) approach to predict the risk level of p...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-03-01
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| Series: | IET Smart Cities |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/smc2.12004 |
| _version_ | 1811215866592755712 |
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| author | Imen Ben Ida Moez Balti Sondes Chaabane Abderrazak Jemai |
| author_facet | Imen Ben Ida Moez Balti Sondes Chaabane Abderrazak Jemai |
| author_sort | Imen Ben Ida |
| collection | DOAJ |
| description | Abstract Changes in vital signs are an important indicator of physiological decline and provide opportunities for early recognition and intervention. The collected vital signs data can be evaluated using several approaches such as the Early warning score (EWS) approach to predict the risk level of patients. By exploring the Internet of things (IoT), vital signs monitoring solutions are automated based on various medical devices and sensors. However, there is a lack of efficient tools that enable an adaptative monitoring depending on the patient situations. This article explores the IoT technologies to provide an EWS system in smart hospital situation. The proposed solution presents an adaptative configuration of the vital signs monitoring process depending on the patient’s health status variation and the medical staff decisions. Also, an intelligent notification mechanism that reduces the delay of the medical staff intervention in the case of risk detection is proposed. |
| first_indexed | 2024-04-12T06:30:43Z |
| format | Article |
| id | doaj.art-d5a4da6d03f145d5bb7546bc1f641830 |
| institution | Directory Open Access Journal |
| issn | 2631-7680 |
| language | English |
| last_indexed | 2024-04-12T06:30:43Z |
| publishDate | 2021-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Smart Cities |
| spelling | doaj.art-d5a4da6d03f145d5bb7546bc1f6418302022-12-22T03:44:02ZengWileyIET Smart Cities2631-76802021-03-0131162810.1049/smc2.12004Adaptative vital signs monitoring system based on the early warning score approach in smart hospital contextImen Ben Ida0Moez Balti1Sondes Chaabane2Abderrazak Jemai3Polytechnic School of Tunisia Electronic Systems and Communications Networks Laboratory (SERCOM) Carthage University Tunis TunisiaPolytechnic School of Tunisia Electronic Systems and Communications Networks Laboratory (SERCOM) Carthage University Tunis TunisiaHauts‐de‐France Polytechnic University CNRS UMR 8201 – LAMIH – Laboratory of Automatic Mechanics and Industrial and Human Informatics F‐59313 Valenciennes FrancePolytechnic School of Tunisia Electronic Systems and Communications Networks Laboratory (SERCOM) Carthage University Tunis TunisiaAbstract Changes in vital signs are an important indicator of physiological decline and provide opportunities for early recognition and intervention. The collected vital signs data can be evaluated using several approaches such as the Early warning score (EWS) approach to predict the risk level of patients. By exploring the Internet of things (IoT), vital signs monitoring solutions are automated based on various medical devices and sensors. However, there is a lack of efficient tools that enable an adaptative monitoring depending on the patient situations. This article explores the IoT technologies to provide an EWS system in smart hospital situation. The proposed solution presents an adaptative configuration of the vital signs monitoring process depending on the patient’s health status variation and the medical staff decisions. Also, an intelligent notification mechanism that reduces the delay of the medical staff intervention in the case of risk detection is proposed.https://doi.org/10.1049/smc2.12004biomedical equipmenthealth carehospitalsmedical information systemspatient monitoringInternet of Things |
| spellingShingle | Imen Ben Ida Moez Balti Sondes Chaabane Abderrazak Jemai Adaptative vital signs monitoring system based on the early warning score approach in smart hospital context IET Smart Cities biomedical equipment health care hospitals medical information systems patient monitoring Internet of Things |
| title | Adaptative vital signs monitoring system based on the early warning score approach in smart hospital context |
| title_full | Adaptative vital signs monitoring system based on the early warning score approach in smart hospital context |
| title_fullStr | Adaptative vital signs monitoring system based on the early warning score approach in smart hospital context |
| title_full_unstemmed | Adaptative vital signs monitoring system based on the early warning score approach in smart hospital context |
| title_short | Adaptative vital signs monitoring system based on the early warning score approach in smart hospital context |
| title_sort | adaptative vital signs monitoring system based on the early warning score approach in smart hospital context |
| topic | biomedical equipment health care hospitals medical information systems patient monitoring Internet of Things |
| url | https://doi.org/10.1049/smc2.12004 |
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