A framework for automated conflict detection and resolution in medical guidelines
- Submitting institution
-
University of St Andrews
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 260364918
- Type
- D - Journal article
- DOI
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10.1016/j.scico.2019.07.002
- Title of journal
- Science of Computer Programming
- Article number
- -
- First page
- 42
- Volume
- 182
- Issue
- -
- ISSN
- 0167-6423
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
C - Health Informatics
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper describes the range of work carried out in the EPSRC project EP/M014290/1 to provide rich and novel solutions to automated conflict resolution in clinical pathways. From describing ontologies and languages capable of capturing different clinical pathways, to automatically generating internal formal representations which can be searched to identify conflicts as well as deviate them effectively, and visualise the results obtained.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
