Improving information quality requirements for online health information systems: a review on the previous frameworks
Access to online health information has increased tremendously as it gives patients competency to find answers related to their health. The value of online health information is strongly depends on the quality of the information provided to the users. However, there are evidences that some online...
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Main Authors: | , , , |
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Format: | Article |
Language: | English English |
Published: |
American Scientific Publishers
2019
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Subjects: | |
Online Access: | http://irep.iium.edu.my/90084/7/90084_Improving%20information%20quality%20requirements%20for%20online%20health%20information%20systems_SCOPUS.pdf http://irep.iium.edu.my/90084/8/90084_Improving%20information%20quality%20requirements%20for%20online%20health%20information%20systems.pdf http://irep.iium.edu.my/90084/ https://doi.org/10.1166/jctn.2019.8485 |
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Summary: | Access to online health information has increased tremendously as it gives patients competency to
find answers related to their health. The value of online health information is strongly depends on
the quality of the information provided to the users. However, there are evidences that some online
health information portals provide poor quality of information, due to the exclusion of information
quality requirements in the early stages of the system development process. The objective of this
research is to review existing frameworks that capture information quality requirements and to select
a framework that is appropriate for the research. A total of six frameworks were searched and
analyzed from various sources. The findings show that most frameworks focus more on technical
aspect when capturing information quality requirements rather than the human aspect, which is
the actual use of the information by the users. This research provide some insights to the health
practitioners and system developers about the importance of capturing information quality at the
early stage of system development based on actual information use. |
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