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Executable medical guidelines with Arden Syntax-Applications in dermatology and obstetrics.
- Source :
-
Artificial intelligence in medicine [Artif Intell Med] 2018 Nov; Vol. 92, pp. 71-81. Date of Electronic Publication: 2016 Aug 12. - Publication Year :
- 2018
-
Abstract
- Introduction: Clinical decision support systems (CDSSs) are being developed to assist physicians in processing extensive data and new knowledge based on recent scientific advances. Structured medical knowledge in the form of clinical alerts or reminder rules, decision trees or tables, clinical protocols or practice guidelines, score algorithms, and others, constitute the core of CDSSs. Several medical knowledge representation and guideline languages have been developed for the formal computerized definition of such knowledge. One of these languages is Arden Syntax for Medical Logic Systems, an International Health Level Seven (HL7) standard whose development started in 1989. Its latest version is 2.10, which was presented in 2014. In the present report we discuss Arden Syntax as a modern medical knowledge representation and processing language, and show that this language is not only well suited to define clinical alerts, reminders, and recommendations, but can also be used to implement and process computerized medical practice guidelines.<br />Methods: This section describes how contemporary software such as Java, server software, web-services, XML, is used to implement CDSSs based on Arden Syntax. Special emphasis is given to clinical decision support (CDS) that employs practice guidelines as its clinical knowledge base.<br />Results: Two guideline-based applications using Arden Syntax for medical knowledge representation and processing were developed. The first is a software platform for implementing practice guidelines from dermatology. This application employs fuzzy set theory and logic to represent linguistic and propositional uncertainty in medical data, knowledge, and conclusions. The second application implements a reminder system based on clinically published standard operating procedures in obstetrics to prevent deviations from state-of-the-art care. A to-do list with necessary actions specifically tailored to the gestational week/labor/delivery is generated.<br />Discussion: Today, with the latest versions of Arden Syntax and the application of contemporary software development methods, Arden Syntax has become a powerful and versatile medical knowledge representation and processing language, well suited to implement a large range of CDSSs, including clinical-practice-guideline-based CDSSs. Moreover, such CDS is provided and can be shared as a service by different medical institutions, redefining the sharing of medical knowledge. Arden Syntax is also highly flexible and provides developers the freedom to use up-to-date software design and programming patterns for external patient data access.<br /> (Copyright © 2016. Published by Elsevier B.V.)
- Subjects :
- Artificial Intelligence
Decision Support Systems, Clinical standards
Dermatology standards
Fuzzy Logic
Hospital Information Systems standards
Humans
Lyme Disease diagnosis
Lyme Disease therapy
Medical Informatics
Obstetrics standards
Practice Guidelines as Topic
Reminder Systems
Decision Support Systems, Clinical organization & administration
Dermatology organization & administration
Expert Systems
Hospital Information Systems organization & administration
Obstetrics organization & administration
Programming Languages
Subjects
Details
- Language :
- English
- ISSN :
- 1873-2860
- Volume :
- 92
- Database :
- MEDLINE
- Journal :
- Artificial intelligence in medicine
- Publication Type :
- Academic Journal
- Accession number :
- 27686851
- Full Text :
- https://doi.org/10.1016/j.artmed.2016.08.003