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CDAPubMed: a browser extension to retrieve EHR-based biomedical literature.
David Perez-Rey1, Ana Jimenez-Castellanos, Miguel Garcia-Remesal
1Biomedical Informatics Group, Facultad de Informática, Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Campus de Montegancedo, s/n, 28660 Madrid, Spain. dperezdelrey@fi.upm.es
BMC Medical Informatics and Decision Making
|April 7, 2012
Summary
CDAPubMed is a novel tool that enhances biomedical literature searches by integrating electronic health record (EHR) data. This open-source browser extension helps clinicians find specific research papers more efficiently, reducing irrelevant results.
Area of Science:
- Biomedical Informatics
- Medical Informatics
- Health Information Technology
Background:
- The increasing volume of scientific publications presents challenges for healthcare professionals seeking relevant literature.
- Existing information retrieval methods require enhancement for specific biomedical applications, particularly in clinical settings.
- Integrating patient data from electronic health records (EHRs) into literature searches necessitates tools that ensure data security and confidentiality.
Purpose of the Study:
- To develop a novel tool that facilitates the building of search queries for scientific literature retrieval, specifically linked to EHR data.
- To create an open-source web browser extension that integrates EHR features into biomedical literature search workflows.
Main Methods:
- Development of CDAPubMed, an open-source web browser extension.
- Implementation of functionality to load patient clinical documents (EHRs) compliant with Health Level 7-Clinical Document Architecture (HL7-CDA) standards.
- Automated identification of relevant terms (Medical Subject Headings - MeSH) within EHR documents for query generation.
- Generation and execution of literature search queries against PubMed.
Main Results:
- CDAPubMed successfully integrates EHR features into biomedical literature retrieval.
- The tool enables users to load EHRs, identify relevant search terms, and generate targeted PubMed queries.
- Searches using CDAPubMed yielded significantly fewer, more focused citations compared to broad searches (e.g., <10 citations with EHR features vs. >200,000 for 'breast neoplasm').
Conclusions:
- CDAPubMed is a platform-independent tool that streamlines literature searching by utilizing keywords from specific EHRs.
- The extension integrates visually within the PubMed interface, enhancing user experience.
- CDAPubMed is an open-source solution suitable for non-profit use and integration with other systems, improving research efficiency in clinical environments.
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