Clinical information extraction applications: A literature review
Mayo Clinic in Florida · Mayo Clinic in Arizona
Indexed incrossrefpubmed
Abstract
Background
With the rapid adoption of electronic health records (EHRs), it is desirable to harvest information and knowledge from EHRs to support automated systems at the point of care and to enable secondary use of EHRs for clinical and translational research. One critical component used to facilitate the secondary use of EHR data is the information extraction (IE) task, which automatically extracts and encodes clinical information from text.
Objectives
In this literature review, we present a review of recent published research on clinical information extraction (IE) applications.
Citation impact
901
total citations
- FWCI
- 29.49
- Percentile
- 100%
- References
- 211
Citations per year
Authors
11Topics & keywords
Topics
Keywords
- MEDLINE
- Computer science
- Workflow
- Data extraction
- Scopus
- Digital library
- Information retrieval
- Data science
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