VITAL SIGNS MONITORING FOR COVID-19 PATIENTS WITH INTEGRATING IOT DEVICE WITH HEALTH DATA STANDARDS
DOI:
https://doi.org/10.61306/jnastek.v2i2.28Keywords:
Internet of Things, Middleware, Health Level 7, Vital Signs, Hospital Information SystemAbstract
Direct visits to patients who are confirmed positive for COVID-19 are very risky and medical personnel are among those who have a risk of being exposed to COVID-19. Use of technology to reduce the risk of medical personnel being exposed is very necessary,use of sensors for remote monitoring of vital signs that can reduce the workload and risk of exposure and reduce manual recording errors.The research objective is to design and build an IoT based vital signs monitoring tool and build a prototype that supports the security and accuracy of data exchange.IoT for vital signs monitoring tool will be integrated with the hospital information system using middleware.uses the Engineering Design Process method which has been proven to be frequently used in the design process.processes carried out are data requests and data transmission,data transformation and data presentation, using middleware as the recipient of requests and sending HL7, in the process of requesting and receiving that has been transformed according to health data standards. IoT for vital signs monitoring tools can be used as a means to protect medical workers from the risk of being exposed to COVID-19 and digital integration can facilitate the flow of information better and with minimal errors as well as the use of HL7.and has a more structured data form and can define the data structure of the information sent between systems,the Interoperability can reduce the need to perform manual data input which results in saving time and avoiding the problem of difficulty/errors in reading one's handwriting.
Downloads
References
Yung-Chung Tsao, Fu-Jen Cheng, Yi-Hua Li, dan Lun-De Liao. (2022). “An IoT-Based Smart System with an MQTT Broker for Individual Patient Vital Sign Monitoring in Potential.” Emergency or Prehospital Applications. Volume 2022, Article ID 7245650 DOI: https://doi.org/10.1155/2022/7245650
Ali I. Siam, Mohammed Amin Almaiah. (2021). Secure Health Monitoring Communication Systems Based on IoT and Cloud Computing for Medical Emergency Applications. Volume 2021, Article ID 8016525 DOI: https://doi.org/10.1155/2021/8016525
Adi A. AlQudahID, Mostafa Al-EmranID. (2021). Medical data integration using HL7 standards for patient’s early identification. PLoS ONE 16(12): e0262067 DOI: https://doi.org/10.1371/journal.pone.0262067
Sofiene Mansouri. (2021) The Development of the Vital Signs Tele-monitoring System for the Elderly by Using ‘UML’ Language and the Interoperability Standard ‘Continua’. 1875-0362/20
Nor Shahanim Mohamad Hadis, Muhammad Nazri Amirnazarullah. (2020). IoT Based Patient Monitoring System using Sensors to Detect, Analyse and Monitor Two Primary Vital Signs. 1535 (2020) 012004 IOP Publishing doi:10.1088/1742-6596/1535/1/012004 DOI: https://doi.org/10.1088/1742-6596/1535/1/012004
Leonardo Juan Ramı´rez Lo´pez, Arturo Rodriguez Garcia. (2020). Internet of things in healthcare monitoring to enhance acquisition performance of respiratory disorder sensors. DOI: 10.1177/1550147719847127 DOI: https://doi.org/10.1177/1550147719847127
Jorge Calvillo-Arbizua,I sabel Román-Martínez. (2020). Internet of things in health: Requirements, issues, and gaps. https://doi.org/10.1016/j.cmpb.2021.106231 DOI: https://doi.org/10.1016/j.cmpb.2021.106231
Soe Ye Yint Tun, Samaneh Madanian. (2020). Clinical Perspective on Internet of Things Applications for Care of the Elderly. https://doi.org/10.3390/electronics9111925 DOI: https://doi.org/10.3390/electronics9111925
Demtania Gusti Kristiani, Triwiyanto Triwiyanto. (2019) The Measuring of Vital Signs Using Internet Of Things Technology (Heart Rate And Respiration). DOI:10.1109/ISEMANTIC.2019.8884312 DOI: https://doi.org/10.1109/ISEMANTIC.2019.8884312
Argyro Mavrogiorgou, Athanasios Kiourtis, Konstantinos Perakis. (2019). IoT in Healthcare: Achieving Interoperability of High-Quality Data Acquired by IoT Medical Devices. DOI: 10.3390/s19091978 DOI: https://doi.org/10.3390/s19091978
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Jurnal Nasional Teknologi Komputer
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
HAK CIPTA
Hak cipta atas artikel apapun pada Jurnal Nasional Teknologi Komputer (JNASTEK) dipegang penuh oleh penulisnya dibawah lisensi Creative Commons Attribution-ShareAlike 4.0 International License.
1. Penulis mengakui bahwa Jurnal Nasional Teknologi Komputer (JNASTEK) berhak sebagai yang mempublikasikan pertama kali dengan lisensi Creative Commons Attribution-ShareAlike 4.0 International License - CC BY-SA.
2. Penulis dapat memasukan tulisan secara terpisah, mengatur distribusi non-ekskulif dari naskah yang telah terbit di jurnal ini kedalam versi yang lain (misal: dikirim ke respository institusi penulis, publikasi kedalam buku, dll), dengan mengakui bahwa naskah telah terbit pertama kali pada Jurnal Nasional Teknologi Komputer (JNASTEK).
LISENSI
Jurnal Nasional Teknologi Komputer (JNASTEK) diterbitkan berdasarkan ketentuan Creative Commons Attribution-ShareAlike 4.0 International License. Lisensi ini mengizinkan setiap orang untuk menyalin dan menyebarluaskan kembali materi ini dalam bentuk atau format apapun, menggubah, mengubah, dan membuat turunan dari materi ini untuk kepentingan apapun, termasuk kepentingan komersial, selama mereka mencantumkan kredit kepada Penulis atas ciptaan asli.
