Quarcare - IoT Based Patient Health Monitoring System

Visvesvaran, C; Shankar, B. Maruthi; Kaviya, Somkuan; Kaviya, P.; Monika, K.; Kumar, I J John Bharath

doi:10.1109/icesc51422.2021.9532652

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Past studies also suggested way to increase adoption is to educate and raise awareness among senior citizens about the benefits of digital healthcare (Yuan, and Cheah, 2020). It was advised for awareness to be raised through community outreach programs and workshops that highlight the advantages of using technology in healthcare, such as remote consultations, online appointment scheduling, and easy access to medical records (Caballero et al, 2021;Visvesvaran et al, 2021). In addition, Godinho et al (2020) state that it is essential to address the issues of limited access to technology by providing affordable and accessible digital healthcare solutions where potentially can be achieved by partnering with technology companies and telecommunication providers to offer low-cost devices and internet access to seniors (Lousado et al, 2021).…”

Section: Development Of Digital Healthcare In Malaysiamentioning

confidence: 99%

Framework analysis on the adoption of digital healthcare services among senior citizens by using the extended technology acceptance model (ETAM)

Omar,

Che Zainal,

Abdul Rashid

et al. 2023

F1000Res

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Over the years, the digital healthcare sector has started taking shape across the world with the intention to deliver social benefits to all citizens. In Malaysia, a lot of effort has taken place to improve the healthcare system to be more efficient and accessible. SELangkah mobile application developed by Selgate Corporation for instance provided multi-step health features for users. Besides the proliferation of mobile technology, the aging population is one of the key drivers that cause healthcare-related stakeholders in Malaysia to start making considerable improvements toward digital healthcare services. Thus, senior citizens are considered one of the more important age-groups for service providers to focus on. However, the adoption of the health technology in Malaysia is relatively low and as of the year 2020, only 10.7% of Malaysia’s senior citizens aged 60 years and above have adopted digital healthcare services. This number may grow as the population of Malaysia’s senior citizen are expected to rise to 14.5% of the total population by 2040. Therefore, this study utilizes framework analysis in identifying potential challenges for senior citizens to adopt to technology alongside framework analysis method to assess framework models that uses the extended technology acceptance model (ETAM) to measure user adoption of digital healthcare services. The framework analysis consists of five stages which includes familiarization, identifying framework, indexing, charting, mapping and interpretation. The findings show the relationship between users’ acceptance model with senior citizens’ actual use of the digital healthcare system in addition to the main challenges being information quality, privacy and security, trust, and health literacy. This will contribute to the foundation for future research aimed at improving digital healthcare services and bridge the gap in technology access to be the opportunity to use digital means as a tool for a healthier life.

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Section: Development Of Digital Healthcare In Malaysiamentioning

confidence: 99%

Framework analysis on the adoption of digital healthcare services among senior citizens by using the extended technology acceptance model (ETAM)

Omar,

Che Zainal,

Abdul Rashid

et al. 2023

F1000Res

View full text Add to dashboard Cite

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“…Recently, researchers have been interested in developing machine learning models using data measured by these systems to predict and diagnose diseases early, such as COVID. Due to the use of IoT technology, these systems addressed the problem of patients in remote areas being unable to reach doctors [ 18 , 19 , 20 , 21 ]. Although the efforts made in the field of designing health and emotional-state monitoring systems are large, multiple, and highly accurate, most previous research did not use any more than three measurement sensors.…”

Section: Introductionmentioning

confidence: 99%

New Method to Implement and Analysis of Medical System in Real Time

et al. 2022

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The use of information technology and technological medical devices has contributed significantly to the transformation of healthcare. Despite that, many problems have arisen in diagnosing or predicting diseases, either as a result of human errors or lack of accuracy of measurements. Therefore, this paper aims to provide an integrated health monitoring system to measure vital parameters and diagnose or predict disease. Through this work, the percentage of various gases in the blood through breathing is determined, vital parameters are measured and their effect on feelings is analyzed. A supervised learning model is configured to predict and diagnose based on biometric measurements. All results were compared with the results of the Omron device as a reference device. The results proved that the proposed design overcame many problems as it contributed to expanding the database of vital parameters and providing analysis on the effect of emotions on vital indicators. The accuracy of the measurements also reached 98.8% and the accuracy of diagnosing COVID-19 was 64%. The work also presents a user interface model for clinicians as well as for smartphones using the Internet of things.

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