Balancing prescriptions with constraint solvers
- Submitting institution
-
University of St Andrews
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 260364919
- Type
- C - Chapter in book
- DOI
-
10.1007/978-3-030-17297-8_9
- Book title
- Automated Reasoning for Systems Biology and Medicine
- Publisher
- Springer
- ISBN
- 9783030172961
- Open access status
- -
- Month of publication
- June
- 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
-
1
- Research group(s)
-
C - Health Informatics
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The third WHO Global Patient Safety Challenge launched in 2017 concerns medication without harm. The severity of medication errors requires solutions able to reduce their potential sources. This paper describes a formal approach to detect and correct some such errors when treating patients with multiple chronic conditions. Our approach is unique in determining optimal medication patterns across the different diseases considering adverse drug reactions, measures of medication effectiveness, intolerances and parameters such as side-effects and patient preferences. An ongoing GCRF project with leading hospitals in South America is integrating this work in an ODA context for a wider benefit.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
