terminology
Vreeman DJ et al, Journal of Biomedical Informatics, 2012
Interoperable health information exchange depends on adoption of terminology standards, but international use of such standards can be challenging because of language differences between local concept names and the standard terminology. To address this important barrier, we describe the evolution of an efficient process for constructing translations of LOINC terms names, the foreign language functions in RELMA, and the current state of translations in LOINC. We also present the development of the Italian translation to illustrate how translation is enabling adoption in international contexts. We built a tool that finds the unique list of LOINC Parts that make up a given set of LOINC terms.
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Published:
21 February 2012 |
Keyword(s): Adoption, Electronic Health Records, LOINC, Standards, Terminology, Translating
Yu S et al, Journal of Biomedical Informatics, 2011
Clinical Archetypes provide a means for health professionals to design what should be communicated as part of an Electronic Health Record (EHR). An ever-growing number of archetype definitions follow this health information modelling approach, and this international archetype resource will eventually cover a large number of clinical concepts. On the other hand, Clinical Terminology systems that can be referenced by archetypes also have a wide coverage over many types of health-care information.
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Published:
17 December 2011 |
Keyword(s): Archetypes, Modeling, Ontologies, SNOMED CT, Terminology
Zhou L et al, Journal of Biomedical Informatics, 2011
Objective
To develop an automated method based on natural language processing (NLP) to facilitate the creation and maintenance of a mapping between RxNorm and a local medication terminology for interoperability and meaningful use purposes.
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Published:
28 November 2011 |
Keyword(s): Medication Systems, Natural Language Processing, RxNorm, Standards, Terminology
Bakhshi-Raiez F et al, International Journal of Medical Informatics, 2011
Objective
To evaluate the usability of a large compositional interface terminology based on SNOMED CT and the terminology application for registration of the reasons for intensive care admission in a Patient Data Management System.
Design
Observational study with user-based usability evaluations before and 3 months after the system was implemented and routinely used.
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Published:
24 October 2011 |
Keyword(s): Evaluation, Intensive care, Netherlands, SNOMED CT, Terminology, Usability
Rector AL et al, J Am Med Inform Assoc, 18(4)
Objectives
(a) To determine the extent and range of errors and issues in the Systematised Nomenclature of Medicine – Clinical Terms (SNOMED CT) hierarchies as they affect two practical projects. (b) To determine the origin of issues raised and propose methods to address them.
Methods
The hierarchies for concepts in the Core Problem List Subset published by the Unified Medical Language System were examined for their appropriateness in two applications. Anomalies were traced to their source to determine whether they were simple local errors, systematic inferences propagated by SNOMED’s classification process, or the result of problems with SNOMED’s schemas. Conclusions were confirmed by showing that altering the root cause and reclassifying had the intended effects, and not others.
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Published:
21 April 2011 |
Keyword(s): Electronic Health Records, Knowledge Bases, Knowledge Management, Knowledge representation, Modeling, Ontologies, SNOMED CT, Terminology
De Silva TS et al, Computer Methods and Programs in Biomedicine, 2011
Objective
To evaluate the ability of systematized nomenclature of medicine clinical terms (SNOMED CT) to represent computed tomography procedures in computed tomography dictionaries used in the Canadian province of Newfoundland and Labrador.
Methods
This study was conducted in two stages. In the first stage computed tomography dictionaries were collected and consolidated to one master list. The duplicated procedure names were deleted from the list. In the second stage the unique data items from the master list were matched with the SNOMED CT concepts. Sensitivity, specificity, and positive and negative predictive values of SNOMED CT were investigated.
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Published:
11 February 2011 |
Keyword(s): Computed tomography, Electronic Health Records, Nomenclature, SNOMED CT, Terminology, Vocabulary
Ahmadian L et al, International Journal of Medical Informatics, 2010
Introduction
Clinical decision support systems (CDSSs) should be seamlessly integrated with existing clinical information systems to enable automatic provision of advice at the time and place where decisions are made. It has been suggested that a lack of agreed data standards frequently hampers this integration. We performed a literature review to investigate whether CDSSs used standardized (i.e. coded or numerical) data and which terminological systems have been used to code data. We also investigated whether a lack of standardized data was considered an impediment for CDSS implementation.
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Published:
17 December 2010 |
Keyword(s): Decision Support Systems, ICD, Literature Review, LOINC, Medical Informatics, Standardization, Terminology
SNOMED- CT is is a concept-oriented and machine-readable medical terminology which has gained popularity this last ten years. It has been proposed as the reference terminology for use in electronic medical records and is supposed to cover the entire field needed to care and cure.
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Published:
July 2010 |
Keyword(s): General Practitioner, Semantic Interoperability, SNOMED CT, Standards, Terminology
Bonacina S, Pinciroli F. Medical and Care Compunetics 6, 2010
New services devoted to improve personalized healthcare are emerging from information technology developments. Personal health record systems allow the patients to participate actively in their healthcare process. However, the dissemination and use of personal health record systems face with some barriers, for example low health literacy that leads to discrepancy in understanding medical concepts.
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Published:
8 June 2010 |
Keyword(s): Databases, Ontology, Patient-clinician communication, Terminology
Häyrinen K, et al, International Journal of Medical Informatics, 2010
Purpose
The purpose of this study was to describe and evaluate whether nurses have documented patient care in compliance with the national nursing documentation model in electronic health records, which means the use of the nursing process and the use of standardized terminology in different phases of the nursing process.
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Published:
1 June 2010 |
Keyword(s): Classification, Electronic Health Records, Electronic nursing documentation, Evaluation, Finland, Terminology
Blobel B, Oemig F. Medical Informatics in a United and Healthy Europe, 2009
Following an architecture vision such as the Generic Component Model (GCM) architecture framework, health information systems for supporting personalized care have to be based on a component-oriented architecture. Representing concepts and their interrelations, the GCM perspectives system architecture, domains, and development process can be described by the domains’ ontologies.
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Published:
2009 |
Keyword(s): Computer Systems, Medical Informatics, Semantics, Systems Integration, Terminology
Steindel SJ, J Am Med Inform Assoc, 17(3)
Described are the changes to ICD-10-CM and PCS and potential challenges regarding their use in the US for financial and administrative transaction coding under HIPAA in 2013. Using author constructed derivative databases for ICD-10-CM and PCS it was found that ICD-10-CM’s overall term content is seven times larger than ICD-9-CM: only 3.2 times larger in those chapters describing disease or symptoms, but 14.1 times larger in injury and cause sections. A new multi-axial approach ICD-10-PCS increased size 18-fold from its prior version.
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Published:
May 2010 |
Keyword(s): ICD-10, Terminology, United States
Hovenga EJ, Garde S. electronic Journal of Health Informatics, 5(1)
An opinion paper exploring links between sustainable health systems, electronic health records, semantic interoperability, standards and national e-health strategies. It provides a rationale for why there needs to be a paradigm shift in thinking and explains the need for adopting a set of technical standards and establishing a supporting national infrastructure.
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Published:
19 August 2009 |
Keyword(s): e-Health, Electronic Health Records, Semantic Interoperability, Standards, Strategy, Terminology
Downs, Stephen M. et al, J Am Med Inform Assoc, 17(1)
Capture, coding and communication of newborn screening (NBS) information represent a challenge for public health laboratories, health departments, hospitals, and ambulatory care practices. An increasing number of conditions targeted for screening and the complexity of interpretation contribute to a growing need for integrated information-management strategies. This makes NBS an important test of tools and architecture for electronic health information exchange (HIE) in this convergence of individual patient care and population health activities. For this reason, the American Health Information Community undertook three tasks described in this paper.
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Published:
16 December 2009 |
Keyword(s): Health Information Exchange, Information Management, Interoperability, Laboratory Results, Neonatology, Newborn Screening, Privacy, Security, Terminology, United States
Blobel, Bernd et al, Medical Informatics in a United and Healthy Europe, 2009
The workshop is organized by HL7 and its affiliates to present and to discuss HL7’s activities for providing international standards and specifications to enable advanced semantically interoperable eHealth and pHealth solutions, adaptable to national health systems through localization.
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Published:
2009 |
Keyword(s): Education, Electronic Health Records, Electronic Medical Records, HL7, Semantic Interoperability, Terminology
Stefan Schulz, IFMBE Proceedings 2009, 25/12
Semantic interoperability is a major desideratum in health care for computer-based documentation and communication through electronic health records. They require structured data ideally represented via standardized information models, e.g., HL7 RIM or openEHR, connected to standardized terminologies or ontologies, e.g., SNOMED CT or LOINC. But since natural language is seen by health professionals as their most natural and effective form of expression, semantically interoperable architectures must adequately deal with unstructured data and be seamlessly integrated into the workflows of health professionals. Therefore we propose a self-learning natural language processing system, which automatically segments input narratives into sections, detects contexts such as negations, and assigns terminology codes. To be usable in clinical contexts, the system must properly handle the idiosyncratic medical language and grammar and spelling errors of narratives produced in everyday clinical practice. We present user interaction items that are important to make the interaction with the system as easy as possible to reach high acceptance among health professionals.
Published:
September 2009 |
Keyword(s): Clinical Documentation, Electronic Health Records, NLP, Semantic Interoperability, Terminology
Jiang, Guoqian et al, Journal of Biomedical Informatics, 42(3)
With the 11th revision of the International Classification of Disease (ICD) being officially launched by the World Health Organization (WHO), the significance of a formal representation for ICD coding rules has emerged as a pragmatic concern. To explore the role of Formal Concept Analysis (FCA) on examining ICD10 coding rules and to develop FCA-based auditing approaches for the formalization process.
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Published:
21 February 2009 |
Keyword(s): Clinical Terminologies, Formal Concept Analysis (FCA), ICD, ICD-10, ICD-11, Semantic, Semantic Web Rule Language (SWRL), Terminology
Wade, Geraldine, and S. Trent Rosenbloom, Journal of Biomedical Informatics, 42(3)
Large-scale mapping efforts have been done in attempts to migrate systems that use proprietary concepts to ones that use terminological standards such as SNOMED CT. As efforts move towards implementation, the target maps should retain a predictable structure including those targets requiring post-coordination of SNOMED CT concepts.
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Published:
12 March 2009 |
Keyword(s): Interface Terminology, SNOMED CT, SNOMED CT Implementation, Terminology, Terminology Audit, Terminology Mapping, Terminology Xersioning
Patel, Chintan O., and James J. Cimino, J Am Med Inform Assoc, 16(3)
OBJECTIVE
To use the semantic and structural properties in the Unified Medical Language System (UMLS) Metathesaurus to characterize and discover potential relationships.
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Published:
4 March 2009 |
Keyword(s): Biomedical, Semantic, Terminological Relationships, Terminology, UMLS
Pathak, Jyotishman et al, J Am Med Inform Assoc, 16(3)
Many biomedical terminologies, classifications, and ontological resources such as the NCI Thesaurus (NCIT), International Classification of Diseases (ICD), Systematized Nomenclature of Medicine (SNOMED), Current Procedural Terminology (CPT), and Gene Ontology (GO) have been developed and used to build a variety of IT applications in biology, biomedicine, and health care settings.
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Published:
4 March 2009 |
Keyword(s): Applications, HL7, ICD, Information Technology, Ontology, SNOMED CT, Standards, Terminology
