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Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards.
- Source :
-
Artificial intelligence in medicine [Artif Intell Med] 2018 Jul; Vol. 89, pp. 61-69. Date of Electronic Publication: 2018 Jun 02. - Publication Year :
- 2018
-
Abstract
- Background: Large amounts of patient data are routinely manually collected in hospitals by using standalone medical devices, including vital signs. Such data is sometimes stored in spreadsheets, not forming part of patients' electronic health records, and is therefore difficult for caregivers to combine and analyze. One possible solution to overcome these limitations is the interconnection of medical devices via the Internet using a distributed platform, namely the Internet of Things. This approach allows data from different sources to be combined in order to better diagnose patient health status and identify possible anticipatory actions.<br />Methods: This work introduces the concept of the Internet of Health Things (IoHT), focusing on surveying the different approaches that could be applied to gather and combine data on vital signs in hospitals. Common heuristic approaches are considered, such as weighted early warning scoring systems, and the possibility of employing intelligent algorithms is analyzed.<br />Results: As a result, this article proposes possible directions for combining patient data in hospital wards to improve efficiency, allow the optimization of resources, and minimize patient health deterioration.<br />Conclusion: It is concluded that a patient-centered approach is critical, and that the IoHT paradigm will continue to provide more optimal solutions for patient management in hospital wards.<br /> (Copyright © 2018 Elsevier B.V. All rights reserved.)
- Subjects :
- Clinical Alarms
Health Status
Humans
Machine Learning
Monitoring, Ambulatory instrumentation
Patient-Centered Care methods
Prognosis
Telemedicine instrumentation
Wireless Technology
Artificial Intelligence
Data Mining methods
Electronic Health Records
Hospital Units
Internet
Medical Record Linkage methods
Monitoring, Ambulatory methods
Telemedicine methods
Vital Signs
Subjects
Details
- Language :
- English
- ISSN :
- 1873-2860
- Volume :
- 89
- Database :
- MEDLINE
- Journal :
- Artificial intelligence in medicine
- Publication Type :
- Academic Journal
- Accession number :
- 29871778
- Full Text :
- https://doi.org/10.1016/j.artmed.2018.05.005