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Biomedical informatics: we are what we publish.
P L Elkin1, S H Brown, G Wright
1Peter L. Elkin, MD, MACP, FACMI, FNYAM, Department of Biomedical Informatics, University at Buffalo Buffalo, NY USA,
Methods of Information in Medicine
|November 20, 2013
Summary
Analyzing publications in Biomedical Informatics reveals how the field defines itself through research. This study uses publication data to enhance consensus-driven definitions of Biomedical Informatics.
Area of Science:
- Biomedical Informatics
- Health Informatics
- Medical Informatics
- Bioinformatics
Background:
- Existing definitions of Biomedical Informatics rely on consensus projects by organizations like AMIA and IMIA.
- This study contributes to defining the field by analyzing its published literature.
Purpose of the Study:
- To analyze PubMed publications to further define the field of Biomedical Informatics.
- To compare consensus-based definitions with the content of published research.
Main Methods:
- Combined terms from AMIA and IMIA consensus documents to create the Health Informatics Ontology.
- Utilized an Intelligent Natural Language Processor (iNLP) for a terminology server.
- Parsed Medline articles identified by 'Medical Informatics' or 'Bioinformatics' using the Health Informatics Ontology, SNOMED CT, and HGNC Ontology.
Main Results:
- Identified 168,298 unique articles, with 37% containing concepts from the Health Informatics Ontology.
- SNOMED CT indexing indicated interactions between Biomedical Informatics and most clinical fields.
- Analysis of publication data provides empirical insights into the scope of Biomedical Informatics.
Conclusions:
- Analyzing publications offers a valuable complement to consensus-driven definitions of Biomedical Informatics.
- Future work includes extracting uncovered terms, creating class hierarchies, and examining MeSH terms.
- Enhanced understanding of Biomedical Informatics literature can foster greater self-awareness within the field.
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