Ali, T and Hussain, M and Afzal, M and Khan, WA and Hur, T and Amin, MB and Kim, D and Kang, BH and Lee, S, Clinically harmonized wellness concepts model for health and wellness services, IEEE Access, 6 pp. 26660-26674. ISSN 2169-3536 (2018) [Refereed Article]
Copyright 2018 IEEE
Objective: A considerable number of frameworks and platforms are available to model terminologies in the clinical domains, but wellness domain lacks a development framework. The objective of this study is to develop a clinically influenced and harmonized wellness concepts model (WCM) in order to support diverse wellness applications and services. This model is supported by a novel framework in the wellness domain.
Methods and materials: In order to develop wellness concepts model, the proposed framework is divided into four processes; start-up and initiation process, WCM modeling and evolution process, WCM production process, and release process. The WCM modeling and evolution process extracts top level hierarchical concepts from the existing published literature using a systematic review process. The framework also extends its scope to evolution using the wellness recommendations guidelines. The evolution process is supported by clinical concepts harmonization with the help of terminology standard, SNOMED CT.
Results:2) test and root mean square error of approximation (RMSEA) test results demonstrated the acceptable goodness of fit indices for the WCM with respect to expertsí and usersí opinions.
Conclusions: In order to fill the gap that existed in wellness and clinical domain, this study systematically investigated concepts for building a clinically harmonized model called the wellness concepts model (WCM). The proposed WCM development framework is validated through the nominal group technique (NGT) and structured equation modeling (SEM).
|Item Type:||Refereed Article|
|Keywords:||wellness concepts model, wellness domain, interoperable and shareable knowledge, holistic wellness model, harmonization with SNOMED CT|
|Research Division:||Information and Computing Sciences|
|Research Group:||Artificial intelligence|
|Research Field:||Knowledge representation and reasoning|
|Objective Division:||Information and Communication Services|
|Objective Group:||Information systems, technologies and services|
|Objective Field:||Information systems, technologies and services not elsewhere classified|
|UTAS Author:||Amin, MB (Dr Muhammad Bilal Amin)|
|UTAS Author:||Kang, BH (Professor Byeong Kang)|
|Web of Science® Times Cited:||11|
|Deposited By:||Information and Communication Technology|
|Downloads:||55 View Download Statistics|
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