Conference proceeding
Can Existing Guideline Languages Meet the Requirements of Computerized Checklist Systems?
Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, pp 1500-1503
24 Jan 2019
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Computerized safety checklist systems designed for improving care-givers' situation awareness are emerging in recent years. These systems are proved to be effective for improving adherence to guidelines while keeping high user acceptance. However, most of these systems are still hard-coded since it is yet unclear to what extent can existing guideline modeling languages capture the requirements for such a type of systems. This paper answers this research question by carrying out three case studies using three distinct and representative type of guideline languages. The expressiveness, interoperability, and maintainability of these three languages are compared against the requirements of typical computerized safety checklists. The results indicate all of these languages can partially support the requirements of computerized safety checklists. Whereas some important features of computerized checklists are not yet covered these languages.
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Details
- Title
- Can Existing Guideline Languages Meet the Requirements of Computerized Checklist Systems?
- Creators
- Leixing LuShan NanSicui ZhangXudong LuHuilong DuanHarald SchmidtDavid GriolHaiying WangJan BaumbachHuiru ZhengZoraida CallejasXiaohua HuJulie DickersonLe Zhang
- Publication Details
- Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, pp 1500-1503
- Series
- IEEE International Conference on Bioinformatics and Biomedicine-BIBM
- Publisher
- Institute of Electrical and Electronics Engineers
- Number of pages
- 4
- Grant note
- Brain Bridge Project - Phillips Research
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000458654000264
- Scopus ID
- 2-s2.0-85062551688
- Other Identifier
- 991019189069704721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Mathematical & Computational Biology