NDLI: Task manifestation-based clinical protocol specification for ubiquitous healthcare services

Content Provider	IEEE Xplore Digital Library
Author	Kyoung Soon Hwang Keon Myung Lee Wun-Jae Kim Chan Hee Lee
Copyright Year	2010
Description	Author affiliation: School of Electrical and Computer Engineering, Chungbuk National University, Korea (Kyoung Soon Hwang; Keon Myung Lee) \|\| School of Medicine, Chungbuk National University, Korea (Wun-Jae Kim) \|\| School of Natural Science, Chungbuk National University, Korea (Chan Hee Lee)
Abstract	Various approaches have been proposed for clinical protocol development, but few attentions have been paid to the ubiquitous healthcare services. This paper introduces a clinical protocol development methodology which is applicable to ubiquitous healthcare services. The methodology presents a systematic procedure which helps build up a protocol. It focuses on how to elucidate all participants' role and tasks, and how to efficiently specify the workflow of tasks. The methodology employs the so-called 6W1H model to specify constituent tasks of a clinical protocol. It provides a Petri net-based visualization method which generates graphical workflow for a clinical protocol described by the 6W1H model. The proposed methodology has been successfully applied to specify a ubiquitous Overactive Bladder Syndrome (OAB) patient care service protocol.
Starting Page	128
Ending Page	131
File Size	609317
Page Count	4
File Format	PDF
ISBN	9781424491674
ISSN	10637125
e-ISBN	9781424491681
DOI	10.1109/CBMS.2010.6042627
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-12
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protocols Diseases Educational institutions Guidelines Visualization Personnel healthcare clinical protocol ubiquitous service e-health protocol description
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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