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Profiling patterns in healthcare system: A preliminary study

In the 21st century, our planet revolves around data and is known as a digital earth. The astonishing growth in data has resulted in an increase in interest of Big Data Analytics to capture, store, process, analyze and visualize unprecedented amount of information. Big data has undoubtedly and will...

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Main Authors: Chan, Khin Whai *, Lee, Angela Siew Hoong *, Zuraini Zainol,
Format: Article
Language:English
Published: The Science and Information (SAI) Organization Limited 2020
Subjects:
QA76 Computer software
RA Public aspects of medicine
Online Access:http://eprints.sunway.edu.my/1316/1/Angela%20Lee%20Profiling_Patterns_in_Healthcare_System_Published_AngelaLee2020.pdf
http://eprints.sunway.edu.my/1316/
https://thesai.org/Publications/Archives?code=IJACSA
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spelling my.sunway.eprints.13162020-10-07T04:50:24Z http://eprints.sunway.edu.my/1316/ Profiling patterns in healthcare system: A preliminary study Chan, Khin Whai * Lee, Angela Siew Hoong * Zuraini Zainol, QA76 Computer software RA Public aspects of medicine In the 21st century, our planet revolves around data and is known as a digital earth. The astonishing growth in data has resulted in an increase in interest of Big Data Analytics to capture, store, process, analyze and visualize unprecedented amount of information. Big data has undoubtedly and will continue to shape modern information driven society where behind all the available data, there is a hidden potential to discover meaningful insights and patterns which may impact businesses in unexpected measures. The exponential growth of data is also present in the healthcare sector. In Malaysia, most employees are provided with medical benefits which includes general medical costs to hospitalization benefits and insurance coverages. With the healthcare data and information stored with the Human Resource (HR), employers could potentially analyze and identify patterns in the historical medical claims which could then help in making specific decisions to understand their employee population health and the usage of the premium coverage. Therefore, the aim of this research is to better understand the patterns presented in the employees’ healthcare data. Through the analysis and understanding of the patterns in past medical claim history, potential strategies can be proposed to allow employers to provide proactive and reactive measures to potentially help sustain medical expenditure. The Science and Information (SAI) Organization Limited 2020 Article PeerReviewed text en cc_by_nc_4 http://eprints.sunway.edu.my/1316/1/Angela%20Lee%20Profiling_Patterns_in_Healthcare_System_Published_AngelaLee2020.pdf Chan, Khin Whai * and Lee, Angela Siew Hoong * and Zuraini Zainol, (2020) Profiling patterns in healthcare system: A preliminary study. International Journal of Advanced Computer Science and Application, 11 (4). pp. 661-668. ISSN 2158-107X https://thesai.org/Publications/Archives?code=IJACSA
institution Sunway University
building Sunway Campus Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Sunway University
content_source Sunway Institutional Repository
url_provider http://eprints.sunway.edu.my/
language English
topic QA76 Computer software
RA Public aspects of medicine
spellingShingle QA76 Computer software
RA Public aspects of medicine
Chan, Khin Whai *
Lee, Angela Siew Hoong *
Zuraini Zainol,
Profiling patterns in healthcare system: A preliminary study
description In the 21st century, our planet revolves around data and is known as a digital earth. The astonishing growth in data has resulted in an increase in interest of Big Data Analytics to capture, store, process, analyze and visualize unprecedented amount of information. Big data has undoubtedly and will continue to shape modern information driven society where behind all the available data, there is a hidden potential to discover meaningful insights and patterns which may impact businesses in unexpected measures. The exponential growth of data is also present in the healthcare sector. In Malaysia, most employees are provided with medical benefits which includes general medical costs to hospitalization benefits and insurance coverages. With the healthcare data and information stored with the Human Resource (HR), employers could potentially analyze and identify patterns in the historical medical claims which could then help in making specific decisions to understand their employee population health and the usage of the premium coverage. Therefore, the aim of this research is to better understand the patterns presented in the employees’ healthcare data. Through the analysis and understanding of the patterns in past medical claim history, potential strategies can be proposed to allow employers to provide proactive and reactive measures to potentially help sustain medical expenditure.
format Article
author Chan, Khin Whai *
Lee, Angela Siew Hoong *
Zuraini Zainol,
author_facet Chan, Khin Whai *
Lee, Angela Siew Hoong *
Zuraini Zainol,
author_sort Chan, Khin Whai *
title Profiling patterns in healthcare system: A preliminary study
title_short Profiling patterns in healthcare system: A preliminary study
title_full Profiling patterns in healthcare system: A preliminary study
title_fullStr Profiling patterns in healthcare system: A preliminary study
title_full_unstemmed Profiling patterns in healthcare system: A preliminary study
title_sort profiling patterns in healthcare system: a preliminary study
publisher The Science and Information (SAI) Organization Limited
publishDate 2020
url http://eprints.sunway.edu.my/1316/1/Angela%20Lee%20Profiling_Patterns_in_Healthcare_System_Published_AngelaLee2020.pdf
http://eprints.sunway.edu.my/1316/
https://thesai.org/Publications/Archives?code=IJACSA
_version_ 1680323426329296896
score 13.232683

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