Literature DB >> 28269898

Leveraging Terminology Services for Extract-Transform-Load Processes: A User-Centered Approach.

Kevin J Peterson1, Guoqian Jiang2, Scott M Brue1, Hongfang Liu2.   

Abstract

Terminology services serve an important role supporting clinical and research applications, and underpin a diverse set of processes and use cases. Through standardization efforts, terminology service-to-system interactions can leverage well-defined interfaces and predictable integration patterns. Often, however, users interact more directly with terminologies, and no such blueprints are available for describing terminology service-to-user interactions. In this work, we explore the main architecture principles necessary to build a user-centered terminology system, using an Extract-Transform-Load process as our primary usage scenario. To analyze our architecture, we present a prototype implementation based on the Common Terminology Services 2 (CTS2) standard using the Patient-Centered Network of Learning Health Systems (LHSNet) project as a concrete use case. We perform a preliminary evaluation of our prototype architecture using three architectural quality attributes: interoperability, adaptability and usability. We find that a design-time focus on user needs, cognitive models, and existing patterns is essential to maximize system utility.

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Year:  2017        PMID: 28269898      PMCID: PMC5333225     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  23 in total

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Authors:  A L Rector
Journal:  Methods Inf Med       Date:  1999-12       Impact factor: 2.176

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Journal:  J Am Med Inform Assoc       Date:  2011-11-10       Impact factor: 4.497

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Journal:  JAMA       Date:  2012-04-18       Impact factor: 56.272

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Journal:  Nat Methods       Date:  2012-06-28       Impact factor: 28.547

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Journal:  Methods Inf Med       Date:  1995-03       Impact factor: 2.176

7.  From terminology to terminology services.

Authors:  W A Nowlan; A L Rector; T W Rush; W D Solomon
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8.  Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium.

Authors:  Jyotishman Pathak; Kent R Bailey; Calvin E Beebe; Steven Bethard; David C Carrell; Pei J Chen; Dmitriy Dligach; Cory M Endle; Lacey A Hart; Peter J Haug; Stanley M Huff; Vinod C Kaggal; Dingcheng Li; Hongfang Liu; Kyle Marchant; James Masanz; Timothy Miller; Thomas A Oniki; Martha Palmer; Kevin J Peterson; Susan Rea; Guergana K Savova; Craig R Stancl; Sunghwan Sohn; Harold R Solbrig; Dale B Suesse; Cui Tao; David P Taylor; Les Westberg; Stephen Wu; Ning Zhuo; Christopher G Chute
Journal:  J Am Med Inform Assoc       Date:  2013-11-04       Impact factor: 4.497

9.  A study of diverse clinical decision support rule authoring environments and requirements for integration.

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Journal:  BMC Med Inform Decis Mak       Date:  2012-11-12       Impact factor: 2.796

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Authors:  Rachael L Fleurence; Lesley H Curtis; Robert M Califf; Richard Platt; Joe V Selby; Jeffrey S Brown
Journal:  J Am Med Inform Assoc       Date:  2014-05-12       Impact factor: 4.497

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  2 in total

1.  Clinical Concept Value Sets and Interoperability in Health Data Analytics.

Authors:  Sigfried Gold; Andrea Batch; Robert McClure; Guoqian Jiang; Hadi Kharrazi; Rishi Saripalle; Vojtech Huser; Chunhua Weng; Nancy Roderer; Ana Szarfman; Niklas Elmqvist; David Gotz
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

2.  Mining Hierarchies and Similarity Clusters from Value Set Repositories.

Authors:  Kevin J Peterson; Guoqian Jiang; Scott M Brue; Feichen Shen; Hongfang Liu
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16
  2 in total

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