Literature DB >> 8947734

The EON model of intervention protocols and guidelines.

S W Tu1, M A Musen.   

Abstract

We present a computational model of treatment protocols abstracted from implemented systems that we have developed previously. In our framework, a protocol is modeled as a hierarchical plan where high-level protocol steps are decomposed into descriptions of more specific actions. The clinical algorithms embodied in a protocol are represented by procedures that encode the sequencing, looping, and synchronization of protocol steps. The representation allows concurrent and optional protocol steps. We define the semantics of a procedure in terms of an execution model that specifies how the procedure should be interpreted. We show that the model can be applied to an asthma guideline different from the protocols for which the model was originally constructed.

Mesh:

Year:  1996        PMID: 8947734      PMCID: PMC2233213     

Source DB:  PubMed          Journal:  Proc AMIA Annu Fall Symp        ISSN: 1091-8280


  2 in total

1.  Ontology-based configuration of problem-solving methods and generation of knowledge-acquisition tools: application of PROTEGE-II to protocol-based decision support.

Authors:  S W Tu; H Eriksson; J H Gennari; Y Shahar; M A Musen
Journal:  Artif Intell Med       Date:  1995-06       Impact factor: 5.326

2.  Using intermediate states to improve the ability of the Arden Syntax to implement care plans and reuse knowledge.

Authors:  E H Sherman; G Hripcsak; J Starren; R A Jenders; P Clayton
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1995
  2 in total
  9 in total

1.  Integrating medical information and knowledge in the HL7 RIM.

Authors:  G Schadow; D C Russler; C N Mead; C J McDonald
Journal:  Proc AMIA Symp       Date:  2000

2.  Representing the work of medical protocols for organizational simulation.

Authors:  D B Fridsma
Journal:  Proc AMIA Symp       Date:  1998

3.  A simple, flexible and scalable approach for generating tailored questionnaires and health education messages.

Authors:  Jennifer M Macri; Stephen M Downs; Wendy Demark-Wahnefried; Denise C Snyder; David F Lobach
Journal:  Comput Inform Nurs       Date:  2005 Nov-Dec       Impact factor: 1.985

4.  Representation of clinical practice guidelines in conventional and augmented decision tables.

Authors:  R N Shiffman
Journal:  J Am Med Inform Assoc       Date:  1997 Sep-Oct       Impact factor: 4.497

5.  A patient workflow management system built on guidelines.

Authors:  L Dazzi; C Fassino; R Saracco; S Quaglini; M Stefanelli
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

6.  Automating complex guidelines for chronic disease: lessons learned.

Authors:  Saverio M Maviglia; Rita D Zielstorff; Marilyn Paterno; Jonathan M Teich; David W Bates; Gilad J Kuperman
Journal:  J Am Med Inform Assoc       Date:  2003 Mar-Apr       Impact factor: 4.497

7.  Implementation of workflow engine technology to deliver basic clinical decision support functionality.

Authors:  Vojtech Huser; Luke V Rasmussen; Ryan Oberg; Justin B Starren
Journal:  BMC Med Res Methodol       Date:  2011-04-10       Impact factor: 4.615

8.  A comparative study of pre-trained language models for named entity recognition in clinical trial eligibility criteria from multiple corpora.

Authors:  Jianfu Li; Qiang Wei; Omid Ghiasvand; Miao Chen; Victor Lobanov; Chunhua Weng; Hua Xu
Journal:  BMC Med Inform Decis Mak       Date:  2022-09-06       Impact factor: 3.298

9.  EliIE: An open-source information extraction system for clinical trial eligibility criteria.

Authors:  Tian Kang; Shaodian Zhang; Youlan Tang; Gregory W Hruby; Alexander Rusanov; Noémie Elhadad; Chunhua Weng
Journal:  J Am Med Inform Assoc       Date:  2017-11-01       Impact factor: 4.497

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.