Extracting Information from Textual Documents in the Electronic Health Record: A Review of Recent Research

• Published in: Yearbook of medical informatics Vol. 17; no. 1; pp. 128 - 144
• Main Authors: Meystre, S. M., Savova, G. K., Kipper-Schuler, K. C., Hurdle, J. F.
• Format: Journal Article
• Language: English
• Published: Stuttgart Schattauer Verlag für Medizin und Naturwissenschaften 2008; Georg Thieme Verlag KG
• Subjects: Biomedical Research - methods; Electronic health record; Humans; information extraction; Information Storage and Retrieval - methods; Medical Records Systems, Computerized; Natural Language Processing; Original Article; Population Surveillance - methods; state-of-the-art review; Text Mining; Vocabulary, Controlled; information extraction; text mining; Electronic health record; natural language processing; state-of-the-art review

Objectives: We examine recent published research on the extraction of information from textual documents in the Electronic Health Record (EHR). Methods: Literature review of the research published after 1995, based on PubMed, conference proceedings, and the ACM Digital Library, as well as on relevan...