Extracting medical information from narrative patient records: The case of medication-related information

Journal of the American Medical Informatics Association

Volumn 17, Issue 5, 2010, Pages 555-558

  Deléger, Louise ^a   Grouin, Cyril ^a   Zweigenbaum, Pierre ^a  

^a CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACETYLSALICYLIC ACID; ALPRAZOLAM; ANTIBIOTIC AGENT; CLOPIDOGREL; FUROSEMIDE; HORMONE; LORAZEPAM; METFORMIN; PARACETAMOL; TAMSULOSIN; VITAMIN; WARFARIN; DRUG;

ARTICLE; AUTOMATION; COMPUTER SYSTEM; DRUG DOSAGE FORM; DRUG INFORMATION; DRUG NOMENCLATURE; ELIXIR; FOOD AND DRUG ADMINISTRATION; HUMAN; MEDICAL DOCUMENTATION; MEDICAL INFORMATION; MEDICAL RECORD; MORNING DOSAGE; NATURAL LANGUAGE PROCESSING; PATIENT CARE; PRESCRIPTION; SEMANTICS; INFORMATION RETRIEVAL; METHODOLOGY;

ELECTRONIC HEALTH RECORDS; HUMANS; INFORMATION STORAGE AND RETRIEVAL; NATURAL LANGUAGE PROCESSING; PHARMACEUTICAL PREPARATIONS; SEMANTICS;

EID: 78149474640     PISSN: 10675027     EISSN: None     Source Type: Journal    
DOI: 10.1136/jamia.2010.003962     Document Type: Article

References (19)

1. Sager N, Friedman C, Lyman M, et al. The analysis and processing of clinical narrative. In: Salamon R, Blum B, Jorgensen M, eds. Proceedings of the fifth conference on medical informatics. Washington DC, USA: Elsevier Science Publishers B.V, 1986:1101-5.
2. Friedman C, Alderson P, Austin J, et al. A general natural language text processor for clinical radiology. J Am Med Inform Assoc 1994;1:161-74.
3. Meystre S, Savova G, Kipper-Schuler K, et al. Extracting information from textual documents in the electronic health record: a review of recent research. Yearb Med Inform 2008:128-44.
4. Lussier Y, Shagina L, Friedman C. Automating SNOMED coding using medical language understanding: a feasibility study. Proc AMIA Symp 2001:418-22.
5. Baud R. A natural language based search engine for ICD10 diagnosis encoding. Med Arh 2004;58(1 Suppl 2):79-80.
6. Melton G, Hripcsak G. Automated detection of adverse events using natural language processing of discharge summaries. J Am Med Inform Assoc 2005;12:448-57.
7. Penz J, Wilcox A, Hurdle J. Automated identification of adverse events related to central venous catheters. J Biomed Inform 2007;40:174-82.
8. Jain N, Friedman C. Identification of findings suspicious for breast cancer based on natural language processing of mammogram reports. Proc AMIA Annu Fall Symp 1997:829-33.
9. Fiszman M, Chapman W, Aronsky D, et al. Automatic detection of acute bacterial pneumonia from chest x-ray reports. J Am Med Inform Assoc 2000;7:593-604.
10. Chapman W, Fiszman M, Dowling J, et al. Identifying respiratory findings in emergency department reports for biosurveillance using MetaMap. Stud Health Technol Inform 2004;107(Pt 1):487-91.
11. Levin MA, Krol M, Doshi AM, et al. Extraction and mapping of drug names from free text to a standardized nomenclature. AMIA Annu Symp Proc 2007:438-42.
12. Sirohi E, Peissig P. Study of effect of drug lexicons on medication extraction from electronic medical records. Pac Symp Biocomput 2005;10:308-18.
13. Shah A, Martinez C. An algorithm to derive a numerical daily dose from unstructured text dosage instructions. Pharmacoepidemiol Drug Saf 2006;15:161-6.
14. Evans D, Brownlow N, Hersh W, et al. Automating concept identification in the electronic medical record: an experiment in extracting dosage information. Proc AMIA Annu Fall Symp 1996:388-92.
15. Gold S, Elhadad N, Zhu X, et al. Extracting structured medication event information from discharge summaries. AMIA Annu Symp Proc 2008:237-41.
16. Jagannathan V, Mullett CJ, Arbogast JG, et al. Assessment of commercial NLP engines for medication information extraction from dictated clinical notes. Int J Med Inform 2009;78:284-91.
17. Xu H, Stenner S, Doan S, et al. MedEx: a medication information extraction system for clinical narratives. J Am Med Inform Assoc 2010;17:19-24.
18. Uzuner Ö, Solti I, Cadag E. Extracting medication information from clinical text. J Am Med Inform Assoc 2010;17:514-8.
19. Chapman W, Bridewell W, Hanbury P, et al. A simple algorithm for identifying negated findings and diseases in discharge summaries. J Biomed Inform 2001;34:301-10.