Using natural language processing to improve accuracy of automated notifiable disease reporting.

作者: Shaun J. Grannis , J. Marc Overhage , Jeff Friedlin

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摘要: We examined whether using a natural language processing (NLP) system results in improved accuracy and completeness of automated electronic laboratory reporting (ELR) notifiable conditions. used data from community-wide health information exchange that has ELR functionality. focused on methicillin-resistant Staphylococcus Aureus (MRSA), reportable infection found unstructured, free-text culture result reports. the Regenstrief EXtraction tool (REX) for this work. REX processed 64,554 reports mentioned MRSA we compared its output to gold standard (human review). correctly identified 39,491(99.96%) 39,508 positive MRSA, committed only 74 false errors. It achieved high sensitivity, specificity, predicted value F-measure. over two times as many without NLP. Using NLP can improve ELR.

参考文章(15)
Clement J. McDonald, J. Marc Overhage, Michael Barnes, Gunther Schadow, Lonnie Blevins, Paul R. Dexter, Burke Mamlin, , The Indiana Network For Patient Care: A Working Local Health Information Infrastructure Health Affairs. ,vol. 24, pp. 1214- 1220 ,(2005) , 10.1377/HLTHAFF.24.5.1214
Wendy W. Chapman, Will Bridewell, Paul Hanbury, Gregory F. Cooper, Bruce G. Buchanan, A simple algorithm for identifying negated findings and diseases in discharge summaries Journal of Biomedical Informatics. ,vol. 34, pp. 301- 310 ,(2001) , 10.1006/JBIN.2001.1029
Cynthia L. Maree, Robert S. Daum, Susan Boyle-Vavra, Kelli Matayoshi, Loren G. Miller, Community-associated methicillin-resistant Staphylococcus aureus isolates causing healthcare-associated infections. Emerging Infectious Diseases. ,vol. 13, pp. 236- 242 ,(2007) , 10.3201/EID1302.060781
Clement J McDonald, Stanley M Huff, Jeffrey G Suico, Gilbert Hill, Dennis Leavelle, Raymond Aller, Arden Forrey, Kathy Mercer, Georges DeMoor, John Hook, Warren Williams, James Case, Pat Maloney, None, LOINC, a Universal Standard for Identifying Laboratory Observations: A 5-Year Update Clinical Chemistry. ,vol. 49, pp. 624- 633 ,(2003) , 10.1373/49.4.624
Lawrence D. Ward, C. Victor Spain, Mindy J. Perilla, Knashawn H. Morales, Darren R. Linkin, Improving disease reporting by clinicians: the effect of an internet-based intervention. Journal of Public Health Management and Practice. ,vol. 14, pp. 56- 61 ,(2008) , 10.1097/01.PHH.0000303414.19851.D9
M M Schramm, M Mamolen, R L Vogt, The surveillance of communicable disease in Vermont: who reports? Public Health Reports. ,vol. 106, pp. 95- 97 ,(1991)
Randolph C. Barrows, Carol Friedman, M. Busuioc, Limited parsing of notational text visit notes: ad-hoc vs. NLP approaches. american medical informatics association annual symposium. pp. 51- 55 ,(2000)
Jeff Friedlin, Clement J. McDonald, A natural language processing system to extract and code concepts relating to congestive heart failure from chest radiology reports. american medical informatics association annual symposium. ,vol. 2006, pp. 269- 273 ,(2006)
C. Friedman, P. O. Alderson, J. H. M. Austin, J. J. Cimino, S. B. Johnson, A General Natural-language Text Processor for Clinical Radiology Journal of the American Medical Informatics Association. ,vol. 1, pp. 161- 174 ,(1994) , 10.1136/JAMIA.1994.95236146
G. Hripcsak, C. A. Knirsch, N. L. Jain, A. Pablos-Mendez, Automated Tuberculosis Detection Journal of the American Medical Informatics Association. ,vol. 4, pp. 376- 381 ,(1997) , 10.1136/JAMIA.1997.0040376