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From text to knowledge: a unifying document-centered view of analyzed medical language
P Zweigenbaum1, J Bouaud, B Bachimont
1Service d'informatique médicale, Assistance Publique, Hôpitaux de Paris. pz@biomath.jussieu.fr
Methods of Information in Medicine
|December 29, 1998
Summary
Medical language processing (MLP) data use is limited. An "enriched-document" paradigm can improve data dissemination and adoption for researchers and end-users.
Area of Science:
- Biomedical Informatics
- Natural Language Processing
- Clinical Data Management
Background:
- Medical Language Processing (MLP) systems extract valuable data from clinical text.
- Current data dissemination and utilization from MLP are significantly limited.
- Bridging the gap between data extraction and practical application remains a challenge.
Purpose of the Study:
- To introduce and explain the 'enriched-document' paradigm.
- To demonstrate how this paradigm can be implemented in practice.
- To discuss the anticipated advantages for both end-users and MLP researchers.
Main Methods:
- Conceptualization of the 'enriched-document' paradigm.
- Explanation of implementation strategies for the proposed paradigm.
- Analysis of potential benefits and challenges.
Main Results:
- The 'enriched-document' paradigm offers a novel approach to data management.
- Implementation guidelines for the paradigm are provided.
- Potential benefits for data accessibility and usability are outlined.
Conclusions:
- The 'enriched-document' paradigm can enhance the utility and dissemination of MLP-extracted data.
- This approach is expected to improve data accessibility for end-users.
- Further adoption of this paradigm can advance MLP research and application.