Chapter 17 – Ontologies, Vocabularies and Data Models

The purpose of this chapter is to describe current vocabulary and terminology issues and challenges related specifically to the successful implementation of clinical decision support (CDS) systems. The chapter discusses: why standard coded data are essential for accurate and reliable execution of decision logic; how to unambiguously reference data in the electronic health record (EHR) from CDS expressions; alternatives for pre- and post-coordinated representations of data; representation of patient data as name-value pairs; the relationship between terms and information/data models which provide the context of use; terminology in the life cycle of CDS; the next steps that are needed in standardizing models and terminology for use in CDS.

[1]  C. McDonald,et al.  Logical observation identifier names and codes (LOINC) database: a public use set of codes and names for electronic reporting of clinical laboratory test results. , 1996, Clinical chemistry.

[2]  D. Lindberg,et al.  The Unified Medical Language System , 1993, Methods of Information in Medicine.

[3]  Ian Horrocks,et al.  The GRAIL concept modelling language for medical terminology , 1997, Artif. Intell. Medicine.

[4]  Paul A. Harris,et al.  Procurement of shared data instruments for Research Electronic Data Capture (REDCap) , 2013, J. Biomed. Informatics.

[5]  Alan L. Rector,et al.  The Interface between Information, Terminology, and Inference Models , 2001, MedInfo.

[6]  Stanley M. Huff,et al.  Detailed Clinical Models for Sharable, Executable Guidelines , 2004, MedInfo.

[7]  Perry L. Miller,et al.  Application of Information Technology: Organization of Heterogeneous Scientific Data Using the EAV/CR Representation , 1999, J. Am. Medical Informatics Assoc..

[8]  Stanley M. Huff,et al.  Standards for detailed clinical models as the basis for medical data exchange and decision support , 2003, Int. J. Medical Informatics.

[9]  James J. Cimino Editorial Comments: Controlled Medical Vocabulary Construction: Methods from the Canongroup , 1994, J. Am. Medical Informatics Assoc..

[10]  P M Nadkarni,et al.  QAV: querying entity-attribute-value metadata in a biomedical database. , 1997, Computer methods and programs in biomedicine.

[11]  Samson W. Tu,et al.  Protégé-2000: An Open-Source Ontology-Development and Knowledge-Acquisition Environment: AMIA 2003 Open Source Expo , 2003, AMIA.

[12]  C. McDonald,et al.  LOINC, a universal standard for identifying laboratory observations: a 5-year update. , 2003, Clinical chemistry.

[13]  D. Lindberg,et al.  Building the Unified Medical Language System , 1989 .

[14]  D. Blumenthal,et al.  Achieving a Nationwide Learning Health System , 2010, Science Translational Medicine.

[15]  J. Cimino Desiderata for Controlled Medical Vocabularies in the Twenty-First Century , 1998, Methods of Information in Medicine.

[16]  Betsy L. Humphreys,et al.  Technical Milestone: The Unified Medical Language System: An Informatics Research Collaboration , 1998, J. Am. Medical Informatics Assoc..

[17]  Clement J. McDonald,et al.  Development of the Logical Observation Identifier Names and Codes (LOINC) vocabulary. , 1998, Journal of the American Medical Informatics Association : JAMIA.

[18]  Stanley M. Huff,et al.  Integrating Detailed Clinical Models Into Application Development Tools , 2004, MedInfo.

[19]  Kent A. Spackman,et al.  SNOMED clinical terms: overview of the development process and project status , 2001, AMIA.

[20]  J Michael McCoy,et al.  The SMART Platform: early experience enabling substitutable applications for electronic health records , 2012, J. Am. Medical Informatics Assoc..

[21]  Tonya Hongsermeier,et al.  A study of diverse clinical decision support rule authoring environments and requirements for integration , 2012, BMC Medical Informatics and Decision Making.

[22]  Franz Baader Description Logics , 2009, Reasoning Web.

[23]  T A Pryor,et al.  The arden syntax for medical logic modules , 1990, International journal of clinical monitoring and computing.

[24]  Omolola Ogunyemi,et al.  GELLO: An Object-Oriented Query and Expression Language for Clinical Decision Support: AMIA 2003 Open Source Expo , 2003, AMIA.

[25]  Adam Wright,et al.  Using a Service Oriented Architecture Approach to Clinical Decision Support: Performance Results from Two CDS Consortium Demonstrations , 2012, AMIA.

[26]  Steven H. Brown,et al.  A semantic normal form for clinical drugs in the UMLS: early experiences with the VANDF , 2002, AMIA.

[27]  Kent A. Spackman,et al.  The SNOMED clinical terms development process: refinement and analysis of content , 2002, AMIA.

[28]  Alan L. Rector Defaults, Context, and Knowledge: Alternatives for OWL-Indexed Knowledge Bases , 2004, Pacific Symposium on Biocomputing.

[29]  Guilherme Del Fiol,et al.  Implementations of the HL7 Context-Aware Knowledge Retrieval ("Infobutton") Standard: Challenges, strengths, limitations, and uptake , 2012, J. Biomed. Informatics.