Desiderata for Controlled Medical Vocabularies in the Twenty-First Century

Builders of medical informatics applications need controlled medical vocabularies to support their applications and it is to their advantage to use available standards. In order to do so, however, these standards need to address the requirements of their intended users. Over the past decade, medical informatics researchers have begun to articulate some of these requirements. This paper brings together some of the common themes which have been described, including: vocabulary content, concept orientation, concept permanence, nonsemantic concept identifiers, polyhierarchy, formal definitions, rejection of "not elsewhere classified" terms, multiple granularities, multiple consistent views, context representation, graceful evolution, and recognized redundancy. Standards developers are beginning to recognize and address these desiderata and adapt their offerings to meet them.

[1]  J Anderson The computer: medical vocabulary and information. , 1968, British medical bulletin.

[2]  R W Howell,et al.  Disease coding by computer. The "fruit machine" method. , 1968, British journal of preventive & social medicine.

[3]  J. Bates,et al.  Preparation of clinical data for computers. , 1968, British medical bulletin.

[4]  S. Robboy,et al.  Progress in medical information management. Systematized nomenclature of medicine (SNOMED). , 1980, JAMA.

[5]  E. R. Gabrieli Interface Problems between Medicine and Computers. , 1984 .

[6]  M G Pacak,et al.  Three solutions to problems of categorized medical nomenclatures. , 1984, Methods of information in medicine.

[7]  Marsden S. Blois The Effect of Hierarchy on the Encoding of Meaning. , 1986 .

[8]  G O Barnett,et al.  How medical professionals evaluate expressions of probability. , 1986, The New England journal of medicine.

[9]  Gabrieli Er Computerizing text from office records. , 1987 .

[10]  Stanley M. Huff,et al.  A Medical Data Dictionary for Decision Support Applications. , 1987 .

[11]  E R Gabrieli Computerizing text from office records. , 1987, M.D. computing : computers in medical practice.

[12]  David A. Evans Pragmatically-Structured, Lexical-Semantic Knowledge Bases for Unified Medical Language Systems , 1988 .

[13]  Edward Pattison-Gordon,et al.  Conceptual Modeling for the Unified Medical Language System. , 1988 .

[14]  M. S. Blois Medicine and the nature of vertical reasoning. , 1988, The New England journal of medicine.

[15]  Peter Szolovits,et al.  Representing Medical Knowledge in a Terminological Language is Difficult , 1988 .

[16]  Rothwell Dj,et al.  Optimizing the Structure of a Standardized Vocabulary-The SNOMED Model. , 1990 .

[17]  D R Masys Of codes and keywords: standards for biomedical nomenclature , 1990, Academic medicine : journal of the Association of American Medical Colleges.

[18]  D A Evans,et al.  Toward Representations for Medical Concepts , 1991, Medical decision making : an international journal of the Society for Medical Decision Making.

[19]  H. Warner,et al.  An interlingua for electronic interchange of medical information: using frames to map between clinical vocabularies. , 1991, Computers and biomedical research, an international journal.

[20]  J Bernauer Conceptual graphs as an operational model for descriptive findings. , 1991, Proceedings. Symposium on Computer Applications in Medical Care.

[21]  G Hripcsak,et al.  Conceptual data model for a central patient database. , 1991, Proceedings. Symposium on Computer Applications in Medical Care.

[22]  J J Cimino,et al.  Representation of clinical laboratory terminology in the Unified Medical Language System. , 1991, Proceedings. Symposium on Computer Applications in Medical Care.

[23]  James J. Cimino,et al.  Using the UMLS to Bring the Library to the Bedside , 1991, Medical decision making : an international journal of the Society for Medical Decision Making.

[24]  M A Musen,et al.  Representation of clinical data using SNOMED III and conceptual graphs. , 1992, Proceedings. Symposium on Computer Applications in Medical Care.

[25]  P W Moorman,et al.  Towards unambiguous representation of patient data. , 1992, Proceedings. Symposium on Computer Applications in Medical Care.

[26]  M A Musen,et al.  Dimensions of knowledge sharing and reuse. , 1992, Computers and biomedical research, an international journal.

[27]  D. Lindberg,et al.  The Unified Medical Language System , 1993, Yearbook of Medical Informatics.

[28]  C Lovis,et al.  Modelling for natural language understanding. , 1993, Proceedings. Symposium on Computer Applications in Medical Care.

[29]  J. Cimino,et al.  Automatic knowledge acquisition from MEDLINE. , 1993, Methods of information in medicine.

[30]  M Fieschi,et al.  Structuration and acquisition of medical knowledge. Using UMLS in the conceptual graph formalism. , 1993, Proceedings. Symposium on Computer Applications in Medical Care.

[31]  J Bernauer Subsumption principles underlying medical concept systems and their formal reconstruction. , 1994, Proceedings. Symposium on Computer Applications in Medical Care.

[32]  P J Haug,et al.  Interfacing a stand-alone diagnostic expert system with a hospital information system. , 1994, Computers and biomedical research, an international journal.

[33]  Joanne McCloskey,et al.  Toward Data Standards for Clinical Nursing Information , 1994, J. Am. Medical Informatics Assoc..

[34]  Judy G. Ozbolt,et al.  Research Paper: Toward data standards for clinical nursing information , 1994, J. Am. Medical Informatics Assoc..

[35]  J J Cimino Controlled medical vocabulary construction: methods from the Canon Group. , 1994, Journal of the American Medical Informatics Association : JAMIA.

[36]  Mark A. Musen,et al.  Research Paper: A Logical Foundation for Representation of Clinical Data , 1994, J. Am. Medical Informatics Assoc..

[37]  George Hripcsak,et al.  Research Paper: Knowledge-based Approaches to the Maintenance of a Large Controlled Medical Terminology , 1994, J. Am. Medical Informatics Assoc..

[38]  A. V. van Ginneken,et al.  A Model for Structured Data Entry Based on Explicit Descriptional Knowledge , 1994, Methods of Information in Medicine.

[39]  J J Cimino,et al.  Coping with changing controlled vocabularies. , 1994, Proceedings. Symposium on Computer Applications in Medical Care.

[40]  Mark S. Tuttle The Position of the Canon Group: A Reality Check , 1994, J. Am. Medical Informatics Assoc..

[41]  Carol Friedman,et al.  Research Paper: The Canon Group's Effort: Working Toward a Merged Model , 1995, J. Am. Medical Informatics Assoc..

[42]  J R Moehr,et al.  Advanced patient information systems and medical concept representation. , 1995, Medinfo. MEDINFO.

[43]  P J Haug,et al.  An event model of medical information representation. , 1995, Journal of the American Medical Informatics Association : JAMIA.

[44]  Pierre Zweigenbaum,et al.  Issues in the Structuring and Acquisition of an Ontology for Medical Language Understanding , 1995, Methods of Information in Medicine.

[45]  S. Kaihara,et al.  Methodology for the Construction of a Disease Nomenclature and Classification System for Clinical Use , 1995, Methods of Information in Medicine.

[46]  D P Pretschner,et al.  The compositional approach for representing medical concept systems. , 1995, Medinfo. MEDINFO.

[47]  Lawrence M. Fagan,et al.  Development of a Controlled Medical Terminology: Knowledge Acquisition and Knowledge Representation , 1995, Methods of Information in Medicine.

[48]  J J Cimino,et al.  Applying a controlled medical terminology to a distributed, production clinical information system. , 1995, Proceedings. Symposium on Computer Applications in Medical Care.

[49]  G Hripcsak,et al.  Managing vocabulary for a centralized clinical system. , 1995, Medinfo. MEDINFO.

[50]  J J Cimino,et al.  Coding Systems in Health Care , 1995, Yearbook of Medical Informatics.

[51]  J. Cimino,et al.  Use of the Unified Medical Language System in Patient Care at the Columbia-Presbyterian Medical Center , 1995, Methods of Information in Medicine.

[52]  C Lovis,et al.  Representing Clinical Narratives Using Conceptual Graphs , 1995, Methods of Information in Medicine.

[53]  J Dudeck,et al.  A semantic network model for the medical record of a rheumatology clinic. , 1995, Medinfo. MEDINFO.

[54]  M. Roux,et al.  A Model for Medical Knowledge Representation Application to the Analysis of Descriptive Pathology Reports , 1995, Methods of Information in Medicine.

[55]  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.

[56]  W. Goossen,et al.  Classification Systems in Nursing: Formalizing Nursing Knowledge and Implications for Nursing Information Systems , 1996, Methods of Information in Medicine.

[57]  J J Cimino,et al.  Formal Descriptions and Adaptive Mechanisms for Changes in Controlled Medical Vocabularies , 1996, Methods of Information in Medicine.

[58]  George Hripcsak,et al.  Research Paper: Access to Data: Comparing AccessMed With Query by Review , 1996, J. Am. Medical Informatics Assoc..

[59]  Colin Price,et al.  Semantic representation of disorders in Version 3 of the Read Codes , 1996 .

[60]  S B Henry,et al.  Standardized nursing classification systems: necessary, but not sufficient, for representing what nurses do. , 1996, Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium.

[61]  R A Rocha,et al.  Coupling vocabularies and data structures: lessons from LOINC. , 1996, Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium.

[62]  E H Shortliffe,et al.  Gálapagos: computer-based support for evolution of a convergent medical terminology. , 1996, Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium.

[63]  S J Nelson,et al.  A Poor Precedent , 1996, Methods of Information in Medicine.

[64]  C. Chute,et al.  The content coverage of clinical classifications. For The Computer-Based Patient Record Institute's Work Group on Codes & Structures. , 1996, Journal of the American Medical Informatics Association : JAMIA.

[65]  J R Scherrer,et al.  Modeling principles for QMR medical findings. , 1996, Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium.

[66]  E. B Schulz,et al.  Application of Technology: Symbolic Anatomic Knowledge Representation in the Read Codes Version 3: Structure and Application , 1997, J. Am. Medical Informatics Assoc..

[67]  P Carpenter,et al.  Phase II evaluation of clinical coding schemes: completeness, taxonomy, mapping, definitions, and clarity. CPRI Work Group on Codes and Structures. , 1997, Journal of the American Medical Informatics Association : JAMIA.

[68]  A. Rossi Mori,et al.  Standards to Support Development of Terminological Systems for Healthcare Telematics , 1998, Methods of Information in Medicine.

[69]  J Bernauer,et al.  Formal Classification of Medical Concept Descriptions: Graph-Oriented Operators , 1998, Methods of Information in Medicine.

[70]  C. Price,et al.  Exploring the ontology of surgical procedures in the Read Thesaurus. , 1998, Methods of information in medicine.

[71]  A. Rector Thesauri and Formal Classifications: Terminologies for People and Machines , 1998, Methods of Information in Medicine.

[72]  S M Huff,et al.  Linking a Medical Vocabulary to a Clinical Data Model using Abstract Syntax Notation 1 , 1998, Methods of Information in Medicine.

[73]  E H Shortliffe,et al.  Scalable Methodologies for Distributed Development of Logic-Based Convergent Medical Terminology , 1998, Methods of Information in Medicine.

[74]  James R. Campbell,et al.  n Phase II Evaluation of Clinical Coding Schemes : Completeness , Taxonomy , Mapping , Definitions , and Clarity , 2022 .

[75]  H. S. Pinto Knowledge Sharing and Reuse , 2022 .

[76]  J. Cimino,et al.  Toward a Medical-concept Representation Language , 2022 .