Integration of IoMT Sensors’ Data from Mobile Applications into Cloud Based Personal Health Record

Savoska, Snezana and Blazheska-Tabakovska, Natasha and Jolevski, Ilija and Bocevska, Andrijana and Ristevski, Blagoj and Trajkovik, Vladimir (2021) Integration of IoMT Sensors’ Data from Mobile Applications into Cloud Based Personal Health Record. In: 13th International Conference, ICT Innovations 2021, September 27–28, 2021.

Text Integration of IoMT Sensors’ Data_Paper.pdf Download (2MB)

Abstract

Mobile applications for vital signs measurement are popular in ambient
assisted living environments. They typically include various wearables and
devices with their applications connected with the production company with some
security preferences. When a manufacturer develops and markets a specific sensor,
a smartphone application is developed. Many of the sensors and devices are
secured and can work only with its host application developed by the manufacturer.
However, for these sensors and devices related to a patient’s cloud-based
Personal Health Record (PHR), different mobile applications must be created to
connect all additional wearables or IoT-based medical sensors or devices to the
appropriate cloud-based PHR. All data from these mobile applications needs be
collected into the PHR database securely and in time to store medical information
for the patient’s health in the PHR. This paper presents the integration of
two types of mobile applications – for medical professionals and citizens with
the PHR, intended for the Cross4all project. The paper explains how the mobile
application is integrated with different sensors and devices and the cloud PHR.We
also describe the challenges that have arisen from the pilot project implementation
and solutions. The presented concept improves cross-border evidence-based
healthcare and integrates the e-prescription and e-referral system intended to solve
some cross-border healthcare problems for foreign citizens.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Scientific Fields (Frascati) > Natural sciences > Computer and information sciences
Divisions:	Faculty of Information and Communication Technologies
Depositing User:	Prof. d-r. Andrijana Bocevska
Date Deposited:	19 Apr 2022 11:32
Last Modified:	06 Jul 2022 08:53
URI:	https://eprints.uklo.edu.mk/id/eprint/6964

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