Improving Complete Access To Data Within Collaborative Systems In Healthcare Domain

The problem of accessing complete data especially involving different sources had been a major concern in many fields. Due to the absence of data model that become the barrier to access and manage complete datasets, data providers within the collaborative environment may affect users to have fast an...

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Main Author:	Md Leza, Fathin Nabilla
Format:	Thesis
Language:	English English
Published:	2016
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/18543/1/Improving%20Complete%20Access%20To%20Data%20Within%20Collaborative%20Systems%20In%20Healthcare%20Domain%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/18543/2/Improving%20Complete%20Access%20To%20Data%20Within%20Collaborative%20Systems%20In%20Healthcare%20Domain.pdf
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id	my-utem-ep.18543
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Emran, Nurul Akmar
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Md Leza, Fathin Nabilla Improving Complete Access To Data Within Collaborative Systems In Healthcare Domain
description	The problem of accessing complete data especially involving different sources had been a major concern in many fields. Due to the absence of data model that become the barrier to access and manage complete datasets, data providers within the collaborative environment may affect users to have fast and seamless accessibility. There had been many data accessibility improvements methods such as: data replication, data sharing, cloud computing and much more. This dissertation had presented the critical review of these methods based on their criteria of accessibility. However, studies to measure complete access to data were limited. A data accessibility model has been proposed within a collaborative environment named as Collaborative Integrated Database System (COLLIDS), in order to overcome the issue to complete access to data. COLLIDS aims to improve complete access to data in multi-data provider‟s context in a case study. The highlighted feature in COLLIDS which is the completeness analyzer provides relative completeness analysis among data provider. Population-based Completeness (PBC) was applied in COLLIDS completeness analyzer to measure the completeness for the dimension of interest, among the population of data providers. It has been hypothesized that there will have an increment in the ratio of completeness of data accessible by data providers. Therefore, COLLIDS have been evaluated in terms of increment of data completeness for all data providers. Further analysis also has been conducted to compute the completeness cases of data providers. In this dissertation, healthcare domain has been chosen as the case study in order to explore the problem of accessing complete data seamlessly. Sample data have been collected from 106 healthcare providers called as „panel clinics‟. PBC have been used in this dissertation to measure the reference population which is the union of patient datasets collected from all the clinics. Two groups of datasets have been measured; „As-Is Completeness‟ and „ Completeness Increment‟ in normality test and Wilcoxon-Sign Rank test, in order to know the significance differences between both groups. The outcome of this dissertation will have to contribute towards understanding for the practical analysis and the evaluation of COLLIDS data model, in measuring complete access to data within multiple data providers‟ environments.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Md Leza, Fathin Nabilla
author_facet	Md Leza, Fathin Nabilla
author_sort	Md Leza, Fathin Nabilla
title	Improving Complete Access To Data Within Collaborative Systems In Healthcare Domain
title_short	Improving Complete Access To Data Within Collaborative Systems In Healthcare Domain
title_full	Improving Complete Access To Data Within Collaborative Systems In Healthcare Domain
title_fullStr	Improving Complete Access To Data Within Collaborative Systems In Healthcare Domain
title_full_unstemmed	Improving Complete Access To Data Within Collaborative Systems In Healthcare Domain
title_sort	improving complete access to data within collaborative systems in healthcare domain
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Information and Communication Technology
publishDate	2016
url	http://eprints.utem.edu.my/id/eprint/18543/1/Improving%20Complete%20Access%20To%20Data%20Within%20Collaborative%20Systems%20In%20Healthcare%20Domain%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/18543/2/Improving%20Complete%20Access%20To%20Data%20Within%20Collaborative%20Systems%20In%20Healthcare%20Domain.pdf
_version_	1747833933013188608
spelling	my-utem-ep.185432021-10-08T15:12:42Z Improving Complete Access To Data Within Collaborative Systems In Healthcare Domain 2016 Md Leza, Fathin Nabilla T Technology (General) TK Electrical engineering. Electronics Nuclear engineering The problem of accessing complete data especially involving different sources had been a major concern in many fields. Due to the absence of data model that become the barrier to access and manage complete datasets, data providers within the collaborative environment may affect users to have fast and seamless accessibility. There had been many data accessibility improvements methods such as: data replication, data sharing, cloud computing and much more. This dissertation had presented the critical review of these methods based on their criteria of accessibility. However, studies to measure complete access to data were limited. A data accessibility model has been proposed within a collaborative environment named as Collaborative Integrated Database System (COLLIDS), in order to overcome the issue to complete access to data. COLLIDS aims to improve complete access to data in multi-data provider‟s context in a case study. The highlighted feature in COLLIDS which is the completeness analyzer provides relative completeness analysis among data provider. Population-based Completeness (PBC) was applied in COLLIDS completeness analyzer to measure the completeness for the dimension of interest, among the population of data providers. It has been hypothesized that there will have an increment in the ratio of completeness of data accessible by data providers. Therefore, COLLIDS have been evaluated in terms of increment of data completeness for all data providers. Further analysis also has been conducted to compute the completeness cases of data providers. In this dissertation, healthcare domain has been chosen as the case study in order to explore the problem of accessing complete data seamlessly. Sample data have been collected from 106 healthcare providers called as „panel clinics‟. PBC have been used in this dissertation to measure the reference population which is the union of patient datasets collected from all the clinics. Two groups of datasets have been measured; „As-Is Completeness‟ and „ Completeness Increment‟ in normality test and Wilcoxon-Sign Rank test, in order to know the significance differences between both groups. The outcome of this dissertation will have to contribute towards understanding for the practical analysis and the evaluation of COLLIDS data model, in measuring complete access to data within multiple data providers‟ environments. UTeM 2016 Thesis http://eprints.utem.edu.my/id/eprint/18543/ http://eprints.utem.edu.my/id/eprint/18543/1/Improving%20Complete%20Access%20To%20Data%20Within%20Collaborative%20Systems%20In%20Healthcare%20Domain%2024%20Pages.pdf text en public http://eprints.utem.edu.my/id/eprint/18543/2/Improving%20Complete%20Access%20To%20Data%20Within%20Collaborative%20Systems%20In%20Healthcare%20Domain.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=100985 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Information and Communication Technology Emran, Nurul Akmar 1. Abd Ghani, M.K., Bali, R.K., Naguib, R.N.G., Marshall, I.M., Baskaran, V., Wickramasinghe, N., and Puentes, J., 2008. A Flexible Telemedicine Framework For The Continuous Upkeep Of Patient Health Record. In: Proceedings of the Fourteenth Americas Conference on Information Systems, Toronto, Canada. 2. Abdi, H. and Molin, P., 2007. Lilliefors/Van Soest’s Test of Normality. 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