Authors:
Abdulrahman Ahmed Jasim, Oguz Ata, Omar Hussein Salman
Publication date: 2024/12/1
Journal: International Journal of Medical Informatics
Volume: 192
Pages: 105608
Publisher: Elsevier
Description:
Background and Objective
The Internet of Medical Things (IoMT) has revolutionized telemedicine by enabling the remote monitoring and management of patient care. Nevertheless, the process of regeneration presents the difficulty of effectively prioritizing the information of emergency patients in light of the extensive amount of data generated by several integrated health care devices. The main goal of this study is to be improving the procedure of prioritizing emergency patients by implementing the Real-time Triage Optimization Framework (RTOF), an innovative method that utilizes diverse data from the Internet of Medical Things (IoMT).
Methods:
The study’s methodology utilized a variety of Internet of Medical Things (IoMT) data, such as sensor data and texts derived from electronic medical records. Tier 1 supplies sensor and textual data, and Tier 3 imports textual data from electronic medical records. We employed …
Total citations: Cited by 8
Scholar articles:
Multisource data framework for prehospital emergency triage in real-time IoMT-based telemedicine systems
AA Jasim, O Ata, OH Salman – International Journal of Medical Informatics, 2024