Cover Image

A model of knowledge management system and early warning system (KMS@EWS) for clinical diagnostic environment

Early warning system (EWS) is a technology to mitigate risk in multi disciplinary areas. Issues on timeliness for timely reporting are still regarded as a main challenge in EWS. Therefore in this paper, we suggest the model of the integration between knowledge management system (KMS) and EWS known a...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohamad Noor, Norzaliha, Abdullah, Rusli, Selamat, Mohd Hasan
Format: Conference or Workshop Item
Language:English
Published: Springer 2011
Online Access:http://psasir.upm.edu.my/id/eprint/22529/1/A%20model%20of%20knowledge%20management%20system%20and%20early%20warning%20system%20%28KMS%40EWS%29%20for%20clinical%20diagnostic%20environment.pdf
http://psasir.upm.edu.my/id/eprint/22529/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.22529
record_format eprints
spelling my.upm.eprints.225292019-11-12T08:33:51Z http://psasir.upm.edu.my/id/eprint/22529/ A model of knowledge management system and early warning system (KMS@EWS) for clinical diagnostic environment Mohamad Noor, Norzaliha Abdullah, Rusli Selamat, Mohd Hasan Early warning system (EWS) is a technology to mitigate risk in multi disciplinary areas. Issues on timeliness for timely reporting are still regarded as a main challenge in EWS. Therefore in this paper, we suggest the model of the integration between knowledge management system (KMS) and EWS known as KMS@EWS for clinical diagnostics (CD) environment. The integration model is to combine the advantage of KM system with the EWS functionalities and its components. The proposed model is based on empirical study by using literatures on KMS and EWS. We synthesize the findings of KMS and EWS model of integration. To demonstrate the application of this model, we propose into CD environment as a platform KMS@EWS system implementation. Our propose model can provide early warning when any abnormalities or peculiar pattern of disease and symptoms arise and detected during the interaction between physicians and patients. Thus, this model can support the managing of data and information for timely reporting and detection by providing decision facilitation thru early warning during the CD processes. Springer 2011 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/22529/1/A%20model%20of%20knowledge%20management%20system%20and%20early%20warning%20system%20%28KMS%40EWS%29%20for%20clinical%20diagnostic%20environment.pdf Mohamad Noor, Norzaliha and Abdullah, Rusli and Selamat, Mohd Hasan (2011) A model of knowledge management system and early warning system (KMS@EWS) for clinical diagnostic environment. In: Second International Conference on Software Engineering and Computer Systems (ICSECS 2011), 27-29 June 2011, Kuantan, Pahang, Malaysia. (pp. 78-91). 10.1007/978-3-642-22170-5_7
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Early warning system (EWS) is a technology to mitigate risk in multi disciplinary areas. Issues on timeliness for timely reporting are still regarded as a main challenge in EWS. Therefore in this paper, we suggest the model of the integration between knowledge management system (KMS) and EWS known as KMS@EWS for clinical diagnostics (CD) environment. The integration model is to combine the advantage of KM system with the EWS functionalities and its components. The proposed model is based on empirical study by using literatures on KMS and EWS. We synthesize the findings of KMS and EWS model of integration. To demonstrate the application of this model, we propose into CD environment as a platform KMS@EWS system implementation. Our propose model can provide early warning when any abnormalities or peculiar pattern of disease and symptoms arise and detected during the interaction between physicians and patients. Thus, this model can support the managing of data and information for timely reporting and detection by providing decision facilitation thru early warning during the CD processes.
format Conference or Workshop Item
author Mohamad Noor, Norzaliha
Abdullah, Rusli
Selamat, Mohd Hasan
spellingShingle Mohamad Noor, Norzaliha
Abdullah, Rusli
Selamat, Mohd Hasan
A model of knowledge management system and early warning system (KMS@EWS) for clinical diagnostic environment
author_facet Mohamad Noor, Norzaliha
Abdullah, Rusli
Selamat, Mohd Hasan
author_sort Mohamad Noor, Norzaliha
title A model of knowledge management system and early warning system (KMS@EWS) for clinical diagnostic environment
title_short A model of knowledge management system and early warning system (KMS@EWS) for clinical diagnostic environment
title_full A model of knowledge management system and early warning system (KMS@EWS) for clinical diagnostic environment
title_fullStr A model of knowledge management system and early warning system (KMS@EWS) for clinical diagnostic environment
title_full_unstemmed A model of knowledge management system and early warning system (KMS@EWS) for clinical diagnostic environment
title_sort model of knowledge management system and early warning system (kms@ews) for clinical diagnostic environment
publisher Springer
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/22529/1/A%20model%20of%20knowledge%20management%20system%20and%20early%20warning%20system%20%28KMS%40EWS%29%20for%20clinical%20diagnostic%20environment.pdf
http://psasir.upm.edu.my/id/eprint/22529/
_version_ 1651869021400727552
score 13.211869

Similar Items