Literature DB >> 15061551

Archetypes and the EHR.

Thomas Beale1.   

Abstract

The health information systems of today lack many of the desirable characteristics for clinical care or cost-effective data management which are required for shared care in an ever-changing domain. One of the most important aspects of the clinical information environment is knowledge, as distinct from information. This paper describes how small constraint models of domain concepts, known as archetypes, can be added to the knowledge environment, significantly improving interoperability, software economics and quality of care.

Mesh:

Year:  2003        PMID: 15061551

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  10 in total

1.  Clinical element models in the SHARPn consortium.

Authors:  Thomas A Oniki; Ning Zhuo; Calvin E Beebe; Hongfang Liu; Joseph F Coyle; Craig G Parker; Harold R Solbrig; Kyle Marchant; Vinod C Kaggal; Christopher G Chute; Stanley M Huff
Journal:  J Am Med Inform Assoc       Date:  2015-11-13       Impact factor: 4.497

2.  Standardized Representation of Clinical Study Data Dictionaries with CIMI Archetypes.

Authors:  Deepak K Sharma; Harold R Solbrig; Eric Prud'hommeaux; Jyotishman Pathak; Guoqian Jiang
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

3.  Lessons learned in detailed clinical modeling at Intermountain Healthcare.

Authors:  Thomas A Oniki; Joseph F Coyle; Craig G Parker; Stanley M Huff
Journal:  J Am Med Inform Assoc       Date:  2014-07-03       Impact factor: 4.497

Review 4.  Temporal data representation, normalization, extraction, and reasoning: A review from clinical domain.

Authors:  Mohcine Madkour; Driss Benhaddou; Cui Tao
Journal:  Comput Methods Programs Biomed       Date:  2016-02-23       Impact factor: 5.428

5.  Detailed clinical models: a review.

Authors:  William Goossen; Anneke Goossen-Baremans; Michael van der Zel
Journal:  Healthc Inform Res       Date:  2010-12-31

6.  Towards Semantic-Web Based Representation and Harmonization of Standard Meta-data Models for Clinical Studies.

Authors:  Cui Tao; Guoqian Jiang; Weiqi Wei; Harold R Solbrig; Christopher G Chute
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2011-03-07

Review 7.  Detailed clinical models: representing knowledge, data and semantics in healthcare information technology.

Authors:  William T F Goossen
Journal:  Healthc Inform Res       Date:  2014-07-31

8.  Building a semantic web-based metadata repository for facilitating detailed clinical modeling in cancer genome studies.

Authors:  Deepak K Sharma; Harold R Solbrig; Cui Tao; Chunhua Weng; Christopher G Chute; Guoqian Jiang
Journal:  J Biomed Semantics       Date:  2017-06-05

9.  An EHR prototype using structured ISO/EN 13606 documents to respond to identified clinical information needs of diabetes specialists: a controlled study on feasibility and impact.

Authors:  Gudrun Huebner-Bloder; Georg Duftschmid; Michael Kohler; Christoph Rinner; Samrend Saboor; Elske Ammenwerth
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

10.  Representation of Time-Relevant Common Data Elements in the Cancer Data Standards Repository: Statistical Evaluation of an Ontological Approach.

Authors:  Henry W Chen; Jingcheng Du; Hsing-Yi Song; Xiangyu Liu; Guoqian Jiang; Cui Tao
Journal:  JMIR Med Inform       Date:  2018-02-22
  10 in total

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