
CHRONIC DISEASE MONITORING SYSTEM MODEL: STUDY ON EXISTING SYSTEM FEATURES AND TECHNOLOGIES
Author(s) -
Akmal Afiq Abdul Haris,
Norshita Mat Nayan
Publication year - 2021
Publication title -
journal of information system and technology management
Language(s) - English
Resource type - Journals
ISSN - 0128-1666
DOI - 10.35631/jistm.622009
Subject(s) - computer science , cloud computing , variety (cybernetics) , ehealth , healthcare system , process (computing) , data science , health care , medicine , artificial intelligence , economics , economic growth , operating system
The aim of this study is to review the currently available health monitoring systems to search for a gap in features and technologies that are available now. We performed a systematic literature review between January 2010 and March 2020 on few journal databases such as Elsevier ScienceDirect, IEEE Xplore, CORE, and Academia. A total of 1746 records were identified. In the selection process, we found 8 papers meeting the inclusion criteria. Data drawn from the 8 papers were synthesized in this study. All of the studies were on health monitoring systems that included their features and technologies and contained a model or prototype of a system and a list of diseases that the system supports. The results in this article show that all the health monitoring systems have similar use cases for each study but utilize different methodologies and technology. The Fourth Industrial Revolution capable devices such as IoT, smart devices, sensors,s and cloud computing are the most important pieces of technology for remote monitoring patients. We found that heart and lung-related chronic diseases such as congestive heart failure (CHF) and chronic obstructive pulmonary disease (COPD) are the most in-focus chronic diseases that are currently using the health monitoring system. Based on the result, it can be seen that all of the studies on features of health monitoring systems are quite similar, with different approaches. The study was able to show us the advancement and variety of technologies used within the healthcare industry. Since this study focuses more on the features, technology, and disease listing, information on clinical trials is not included.