Latest visual analytic tools help physicians to visualize temporal data in regards to medical health records. Existing systems lack vast support in the generalized collaboration, a single user-centered and task based design for Electronic Health Records (EHR). Already existing frameworks are unable to mentor the interface gaps due to problems like complexity of data sets, increased temporal information density and no support to live databases. These are significant reasons for a single model to comply the end user requirements. We propose an integrated model termed as CARE 1.0 as a future Visual analytic process model for resolving these kinds of issues based on mix method studies. This will base on different disciplines of HCI, Statistics as well as Computer Sciences. This proposed model encompasses the cognitive behavioral requirements of its stake holder’s i.e. physicians, database administrators and visualization designers. It helps in presenting a more generalized and detailed visualization for desired medical data sets.
%0 Journal Article
%1 IJACSA.2012.030936
%A Muhammad Sheraz Arshad Malik, Dr.Suziah Sulaiman
%D 2012
%J International Journal of Advanced Computer Science and Applications(IJACSA)
%K 1.0. CARE EHR; Information Systems; Visual analytic visualization;
%N 9
%T An integrated modular approach for Visual Analytic Systems in Electronic Health Records
%U http://ijacsa.thesai.org/
%V 3
%X Latest visual analytic tools help physicians to visualize temporal data in regards to medical health records. Existing systems lack vast support in the generalized collaboration, a single user-centered and task based design for Electronic Health Records (EHR). Already existing frameworks are unable to mentor the interface gaps due to problems like complexity of data sets, increased temporal information density and no support to live databases. These are significant reasons for a single model to comply the end user requirements. We propose an integrated model termed as CARE 1.0 as a future Visual analytic process model for resolving these kinds of issues based on mix method studies. This will base on different disciplines of HCI, Statistics as well as Computer Sciences. This proposed model encompasses the cognitive behavioral requirements of its stake holder’s i.e. physicians, database administrators and visualization designers. It helps in presenting a more generalized and detailed visualization for desired medical data sets.
@article{IJACSA.2012.030936,
abstract = {Latest visual analytic tools help physicians to visualize temporal data in regards to medical health records. Existing systems lack vast support in the generalized collaboration, a single user-centered and task based design for Electronic Health Records (EHR). Already existing frameworks are unable to mentor the interface gaps due to problems like complexity of data sets, increased temporal information density and no support to live databases. These are significant reasons for a single model to comply the end user requirements. We propose an integrated model termed as CARE 1.0 as a future Visual analytic process model for resolving these kinds of issues based on mix method studies. This will base on different disciplines of HCI, Statistics as well as Computer Sciences. This proposed model encompasses the cognitive behavioral requirements of its stake holder’s i.e. physicians, database administrators and visualization designers. It helps in presenting a more generalized and detailed visualization for desired medical data sets.},
added-at = {2014-02-21T08:00:08.000+0100},
author = {{Muhammad Sheraz Arshad Malik}, Dr.Suziah Sulaiman},
biburl = {https://www.bibsonomy.org/bibtex/273ec64662ede7aeb521fc230180ffd43/thesaiorg},
interhash = {85409f72f98c6ada2469da6a1bac8f00},
intrahash = {73ec64662ede7aeb521fc230180ffd43},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA)},
keywords = {1.0. CARE EHR; Information Systems; Visual analytic visualization;},
number = 9,
timestamp = {2014-02-21T08:00:08.000+0100},
title = {{An integrated modular approach for Visual Analytic Systems in Electronic Health Records}},
url = {http://ijacsa.thesai.org/},
volume = 3,
year = 2012
}