학술논문
Linguistic and ontological challenges of multiple domains contributing to transformed health ecosystems.
Document Type
Academic Journal
Author
Kreuzthaler M; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.; Brochhausen M; Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, United States.; Zayas C; Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, United States.; Blobel B; Medical Faculty, University of Regensburg, Regensburg, Germany.; eHealth Competence Center Bavaria, Deggendorf Institute of Technology, Deggendorf, Germany.; First Medical Faculty, Charles University Prague, Prague, Czechia.; Schulz S; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.; Averbis GmbH, Freiburg, Germany.
Source
Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE
Subject
Language
English
ISSN
2296-858X
Abstract
This paper provides an overview of current linguistic and ontological challenges which have to be met in order to provide full support to the transformation of health ecosystems in order to meet precision medicine (5 PM) standards. It highlights both standardization and interoperability aspects regarding formal, controlled representations of clinical and research data, requirements for smart support to produce and encode content in a way that humans and machines can understand and process it. Starting from the current text-centered communication practices in healthcare and biomedical research, it addresses the state of the art in information extraction using natural language processing (NLP). An important aspect of the language-centered perspective of managing health data is the integration of heterogeneous data sources, employing different natural languages and different terminologies. This is where biomedical ontologies, in the sense of formal, interchangeable representations of types of domain entities come into play. The paper discusses the state of the art of biomedical ontologies, addresses their importance for standardization and interoperability and sheds light to current misconceptions and shortcomings. Finally, the paper points out next steps and possible synergies of both the field of NLP and the area of Applied Ontology and Semantic Web to foster data interoperability for 5 PM.
Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
(Copyright © 2023 Kreuzthaler, Brochhausen, Zayas, Blobel and Schulz.)
Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
(Copyright © 2023 Kreuzthaler, Brochhausen, Zayas, Blobel and Schulz.)