» Articles » PMID: 8563276

Using Intermediate States to Improve the Ability of the Arden Syntax to Implement Care Plans and Reuse Knowledge

Overview
Date 1995 Jan 1
PMID 8563276
Citations 16
Authors
Affiliations
Soon will be listed here.
Abstract

The Arden Syntax is one of a few knowledge representation languages currently in use for clinical decision support. While some of these languages are being used in active patient care settings, none have gained widespread acceptance as a clinical tool. Prior attempts to represent temporally complex care plans in the Arden Syntax have revealed difficulties in representing and tracking series of consecutive time-oriented events and recommendations, in sharing and reusing knowledge and in dealing with unobtainable data. In an attempt to improve Arden's ability to deal with these problems and demonstrate the importance of these factors, the clinical event monitor has been adapted to store coded data representing Intermediate States in the Columbia Presbyterian Medical Center (CPMC) central data repository. The Intermediate States define the current state of the patient as laid out in the care plan. Four care plans were constructed. The findings include an improved ability to track complex series of events and recommendations over long periods of time. The knowledge generated by the electronic care plans was able to be reused by the care plan that generated it, by other elements of the knowledge base and by non-decision support applications. Modular development, facilitated by the changes, simplified dealing with data not available to the central data repository by aiding the implementation of those parts of the care plan for which sufficient data is available.

Citing Articles

Evolution of the Arden Syntax: Key Technical Issues from the Standards Development Organization Perspective.

Jenders R, Adlassnig K, Fehre K, Haug P Artif Intell Med. 2016; 92:10-14.

PMID: 27773563 PMC: 6193856. DOI: 10.1016/j.artmed.2016.08.001.


Integrating Arden-Syntax-based clinical decision support with extended presentation formats into a commercial patient data management system.

Kraus S, Castellanos I, Toddenroth D, Prokosch H, Burkle T J Clin Monit Comput. 2013; 28(5):465-73.

PMID: 23354988 DOI: 10.1007/s10877-013-9430-0.


A multi-layered framework for disseminating knowledge for computer-based decision support.

Boxwala A, Rocha B, Maviglia S, Kashyap V, Meltzer S, Kim J J Am Med Inform Assoc. 2011; 18 Suppl 1:i132-9.

PMID: 22052898 PMC: 3241169. DOI: 10.1136/amiajnl-2011-000334.


Computer-Interpretable Guideline formalisms.

de Clercq P, Kaiser K, Hasman A Stud Health Technol Inform. 2008; 139:22-43.

PMID: 18806319 PMC: 2858861.


PROTEMPA: a method for specifying and identifying temporal sequences in retrospective data for patient selection.

Post A, Harrison Jr J J Am Med Inform Assoc. 2007; 14(5):674-83.

PMID: 17600103 PMC: 1975802. DOI: 10.1197/jamia.M2275.


References
1.
Hripcsak G, Ludemann P, Pryor T, Wigertz O, Clayton P . Rationale for the Arden Syntax. Comput Biomed Res. 1994; 27(4):291-324. DOI: 10.1006/cbmr.1994.1023. View

2.
Johnston M, Langton K, Haynes R, Mathieu A . Effects of computer-based clinical decision support systems on clinician performance and patient outcome. A critical appraisal of research. Ann Intern Med. 1994; 120(2):135-42. DOI: 10.7326/0003-4819-120-2-199401150-00007. View

3.
Grimshaw J, Russell I . Effect of clinical guidelines on medical practice: a systematic review of rigorous evaluations. Lancet. 1993; 342(8883):1317-22. DOI: 10.1016/0140-6736(93)92244-n. View

4.
van der Lei J, Musen M . The separation of reviewing knowledge from medical knowledge. Methods Inf Med. 1995; 34(1-2):131-9. View