Files and links (1)
CC BY V4.0, Open Access
Journal article
Issues Associated With the Use of Semantic Web Technology in Knowledge Acquisition for Clinical Decision Support Systems: Systematic Review of the Literature
JMIR Medical Informatics, Vol.5(3), e18
2017
PMCID: PMC5517823
PMID: 28679487
Abstract
Background: Knowledge-based clinical decision support system (KB-CDSS) can be used to help practitioners make diagnostic decisions. KB-CDSS may use clinical knowledge obtained from a wide variety of sources to make decisions. However, knowledge acquisition is one of the well-known bottlenecks in KB-CDSSs, partly because of the enormous growth in health-related knowledge available and the difficulty in assessing the quality of this knowledge as well as identifying the "best" knowledge to use. This bottleneck not only means that lower-quality knowledge is being used, but also that KB-CDSSs are difficult to develop for areas where expert knowledge may be limited or unavailable. Recent methods have been developed by utilizing Semantic Web (SW) technologies in order to automatically discover relevant knowledge from knowledge sources.
Objective: The two main objectives of this study were to (1) identify and categorize knowledge acquisition issues that have been addressed through using SW technologies and (2) highlight the role of SW for acquiring knowledge used in the KB-CDSS.
Methods: We conducted a systematic review of the recent work related to knowledge acquisition MeM for clinical decision support systems published in scientific journals. In this regard, we used the keyword search technique to extract relevant papers.
Results: The retrieved papers were categorized based on two main issues: (1) format and data heterogeneity and (2) lack of semantic analysis. Most existing approaches will be discussed under these categories. A total of 27 papers were reviewed in this study.
Conclusions: The potential for using SW technology in KB-CDSS has only been considered to a minor extent so far despite its promise. This review identifies some questions and issues regarding use of SW technology for extracting relevant knowledge for a KB-CDSS.
Details
- Title
- Issues Associated With the Use of Semantic Web Technology in Knowledge Acquisition for Clinical Decision Support Systems: Systematic Review of the Literature
- Authors/Creators
- Seyedjamal Zolhavarieh - Auckland University of TechnologyDavid Parry - Auckland University of TechnologyQuan Bai - Auckland University of Technology
- Publication Details
- JMIR Medical Informatics, Vol.5(3), e18
- Publisher
- JMIR Publications, Inc.
- Number of pages
- 11
- Grant note
- R01HS025141 / AGENCY FOR HEALTHCARE RESEARCH AND QUALITY; United States Department of Health & Human Services; Agency for Healthcare Research & Quality
- Identifiers
- 991005618146207891
- Copyright
- © Seyedjamal Zolhavarieh, David Parry, Quan Bai
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Journal article
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Metrics
1 File views/ downloads
7 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Citation topics
- 1 Clinical & Life Sciences
- 1.14 Nursing
- 1.14.703 Electronic Health Records
- Web Of Science research areas
- Medical Informatics
- ESI research areas
- Clinical Medicine