Literature DB >> 22342733

The Arden Syntax standard for clinical decision support: experiences and directions.

Matthias Samwald1, Karsten Fehre, Jeroen de Bruin, Klaus-Peter Adlassnig.   

Abstract

Arden Syntax is a widely recognized standard for representing clinical and scientific knowledge in an executable format. It has a history that reaches back until 1989 and is currently maintained by the Health Level 7 (HL7) organization. We created a production-ready development environment, compiler, rule engine and application server for Arden Syntax. Over the course of several years, we have applied this Arden - Syntax - based CDS system in a wide variety of clinical problem domains, such as hepatitis serology interpretation, monitoring of nosocomial infections or the prediction of metastatic events in melanoma patients. We found the Arden Syntax standard to be very suitable for the practical implementation of CDS systems. Among the advantages of Arden Syntax are its status as an actively developed HL7 standard, the readability of the syntax, and various syntactic features such as flexible list handling. A major challenge we encountered was the technical integration of our CDS systems in existing, heterogeneous health information systems. To address this issue, we are currently working on incorporating the HL7 standard GELLO, which provides a standardized interface and query language for accessing data in health information systems. We hope that these planned extensions of the Arden Syntax might eventually help in realizing the vision of a global, interoperable and shared library of clinical decision support knowledge.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22342733     DOI: 10.1016/j.jbi.2012.02.001

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  21 in total

1.  Creating Clinical Fuzzy Automata with Fuzzy Arden Syntax.

Authors:  Jeroen S de Bruin; Heinz Steltzer; Andrea Rappelsberger; Klaus-Peter Adlassnig
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

2.  Using Arden Syntax to identify registry-eligible very low birth weight neonates from the Electronic Health Record.

Authors:  Indra Neil Sarkar; Elizabeth S Chen; Paul T Rosenau; Matthew B Storer; Beth Anderson; Jeffrey D Horbar
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

3.  An Algorithm Using Twelve Properties of Antibiotics to Find the Recommended Antibiotics, as in CPGs.

Authors:  R Tsopra; A Venot; C Duclos
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

4.  Decision Support Provided by a Temporally Oriented Health Care Assistant : An Implementation of Computer-Interpretable Guidelines.

Authors:  Tiago Oliveira; António Silva; José Neves; Paulo Novais
Journal:  J Med Syst       Date:  2016-11-26       Impact factor: 4.460

5.  An adaptive semantic based mediation system for data interoperability among Health Information Systems.

Authors:  Wajahat Ali Khan; Asad Masood Khattak; Maqbool Hussain; Muhammad Bilal Amin; Muhammad Afzal; Christopher Nugent; Sungyoung Lee
Journal:  J Med Syst       Date:  2014-06-26       Impact factor: 4.460

Review 6.  Clinical Decision Support: a 25 Year Retrospective and a 25 Year Vision.

Authors:  B Middleton; D F Sittig; A Wright
Journal:  Yearb Med Inform       Date:  2016-08-02

7.  Mapping the Entire Record-An Alternative Approach to Data Access from Medical Logic Modules.

Authors:  Stefan Kraus; Dennis Toddenroth; Martin Staudigel; Wolfgang Rödle; Philipp Unberath; Lena Griebel; Hans-Ulrich Prokosch; Sebastian Mate
Journal:  Appl Clin Inform       Date:  2020-05-13       Impact factor: 2.342

8.  Effectiveness of an automated surveillance system for intensive care unit-acquired infections.

Authors:  Jeroen S de Bruin; Klaus-Peter Adlassnig; Alexander Blacky; Harald Mandl; Karsten Fehre; Walter Koller
Journal:  J Am Med Inform Assoc       Date:  2012-08-07       Impact factor: 4.497

9.  Feasibility study of a sensor-based autonomous load control exercise training system for COPD patients.

Authors:  Bianying Song; Marcus Becker; Matthias Gietzelt; Reinhold Haux; Martin Kohlmann; Mareike Schulze; Uwe Tegtbur; Klaus-Hendrik Wolf; Michael Marschollek
Journal:  J Med Syst       Date:  2014-11-16       Impact factor: 4.460

10.  Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.

Authors:  Ning Shang; Cong Liu; Luke V Rasmussen; Casey N Ta; Robert J Caroll; Barbara Benoit; Todd Lingren; Ozan Dikilitas; Frank D Mentch; David S Carrell; Wei-Qi Wei; Yuan Luo; Vivian S Gainer; Iftikhar J Kullo; Jennifer A Pacheco; Hakon Hakonarson; Theresa L Walunas; Joshua C Denny; Ken Wiley; Shawn N Murphy; George Hripcsak; Chunhua Weng
Journal:  J Biomed Inform       Date:  2019-09-19       Impact factor: 6.317

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