Literature DB >> 7705071

The use of medical logic modules at LDS hospital.

T A Pryor1.   

Abstract

The development of medical knowledge bases for use in a clinical information system (HELP) has been an ongoing goal at LDS Hospital in Salt Lake City, Utah, for the past 25 years. In building our medical knowledge base we felt the need to implement a decision support syntax which could capture the logic of our experts in a way that was not only executable, but also easily read and shared by others. During these 25 years we defined several simple syntaxes to express this medical logic. Our current approach is to cooperate with international standards groups (ASTM) and use the Arden Syntax for medical logic modules. We are working with the 3M Corporation in the joint development of an Arden Compiler for HELP. We plan to use the Arden Syntax initially to support our alert/reminder system and computerized management protocols.

Mesh:

Year:  1994        PMID: 7705071     DOI: 10.1016/0010-4825(94)90007-8

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  8 in total

1.  Distributing knowledge maintenance for clinical decision-support systems: the "knowledge library" model.

Authors:  A Geissbuhler; R A Miller
Journal:  Proc AMIA Symp       Date:  1999

2.  A UMLS-based knowledge acquisition tool for rule-based clinical decision support system development.

Authors:  S L Achour; M Dojat; C Rieux; P Bierling; E Lepage
Journal:  J Am Med Inform Assoc       Date:  2001 Jul-Aug       Impact factor: 4.497

3.  Arden/J: an architecture for MLM execution on the Java platform.

Authors:  Harry C Karadimas; Christophe Chailloleau; François Hemery; Julien Simonnet; Eric Lepage
Journal:  J Am Med Inform Assoc       Date:  2002 Jul-Aug       Impact factor: 4.497

4.  Executing medical logic modules expressed in ArdenML using Drools.

Authors:  Chai Young Jung; Katherine A Sward; Peter J Haug
Journal:  J Am Med Inform Assoc       Date:  2011-12-16       Impact factor: 4.497

5.  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

Review 6.  The introduction of a diagnostic decision support system (DXplain™) into the workflow of a teaching hospital service can decrease the cost of service for diagnostically challenging Diagnostic Related Groups (DRGs).

Authors:  Peter L Elkin; Mark Liebow; Brent A Bauer; Swarna Chaliki; Dietlind Wahner-Roedler; John Bundrick; Mark Lee; Steven H Brown; David Froehling; Kent Bailey; Kathleen Famiglietti; Richard Kim; Ed Hoffer; Mitchell Feldman; G Octo Barnett
Journal:  Int J Med Inform       Date:  2010-10-14       Impact factor: 4.046

7.  Artificial Intelligence: Bayesian versus Heuristic Method for Diagnostic Decision Support.

Authors:  Peter L Elkin; Daniel R Schlegel; Michael Anderson; Jordan Komm; Gregoire Ficheur; Leslie Bisson
Journal:  Appl Clin Inform       Date:  2018-06-13       Impact factor: 2.342

8.  Sustainable Health Informatics: Health Informaticians as Alchemists.

Authors:  Christian Nøhr; Craig E Kuziemsky; Peter L Elkin; Romaric Marcilly; Sylvia Pelayo
Journal:  Stud Health Technol Inform       Date:  2019-08-09
  8 in total

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