Can F-MTI semantic-mined drug codes be used for adverse drug events detection when no CPOE is available?

Studies in Health Technology and Informatics

Volumn 160, Issue PART 1, 2010, Pages 1025-1029

  Merlin, Béatrice ^a   Chazard, Emmanuel ^a   Pereira, Suzanne ^b   Serrot, Elisabeth ^c   Sakji, Saoussen ^b   Beuscart, Régis ^a   Darmoni, Stefan ^b  

^a LILLE UNIVERSITY HOSPITAL   (France)

^b University of Rouen   (France)

^c Vidal SA   (France)

Author keywords

Adverse drug events; Discharge summaries; Electronic health records; F MTI; Medical reports; Semantic mining; Terminology as topic

Indexed keywords

CODES (SYMBOLS); DIAGNOSIS; HOSPITALS; SEMANTICS;

ADVERSE DRUG EVENTS; DISCHARGE SUMMARY; ELECTRONIC HEALTH RECORD; MEDICAL REPORTS; SEMANTIC MININGS; TERMINOLOGY AS TOPICS;

DATA MINING;

EID: 78649520766     PISSN: 09269630     EISSN: 18798365     Source Type: Conference Proceeding    
DOI: 10.3233/978-1-60750-588-4-1025     Document Type: Conference Paper

References (13)

1. Vidal SA. [cited 2010 march 8]; Available from: http://www.vidal.fr/ societe/vidal.
2. Pereira S, Sakji S, Névéol A, Kergoulay I, Kerdelhué G, Serrot E, Joubert M, & Darmoni SJ. Abstract multiterminology indexing for the assignment of MeSH descriptors. AMIA symp., 521-525, IOS Press, 2009.
3. Makhoul J, Kubala F, Schwartz R, Weischedel R: Performance measures for information extraction. In: Proceedings of DARPA Broadcast News Workshop, Herndon, VA, February 1999.
4. Nakache D., Metais E., Timsit J. Evaluation and NLP. proceedings of DEXA Database and Expert System Application, 626-632, 2005.
5. Pereira S, Névéol A, Kerdelhué G, Serrot E, Joubert M & Darmoni SJ. Using multi-terminology indexing for the assignment of MeSH descriptors to health resources in a French online catalogue. AMIA symp., 586-590, 2008.
6. Chazard E, Preda C, Merlin B, Ficheur G; PSIP consortium, Beuscart R. Data-mining-based detection of adverse drug events. Stud Health Technol Inform. 2009;150:552-6.
7. Chazard E, Ficheur G, Merlin B, Serrot E, Beuscart R. Adverse Drug Events Prevention Rules: Multi-site Evaluation of Rules from Various Sources. Stud Health Technol Inform. 2009;148:102-11.
8. Evans DA, Brownlow ND, Hersh WR, Campbell EM. Automating Concept Identification in the Electronic Medical Record: An Experiment in Extracting Dosage Information. AMIA 1996 Symposium Proceedings. 1996:388-92.
9. Sirohi E, Peissig P. Study of Effect of Drug Lexicons on Medication Extraction from Electronic Medical Records. Pacific Symposium on Biocomputing; 10:308-18. 2005
10. Gold S, Elhadad N, Zhu X, Cimino JJ, George Hripcsak, Extracting Structured Medication Event Information from Discharge Summaries AMIA 2008 Symposium Proceedings 237-241
11. Henderson T, Shepheard J, Sundararajan V. Quality of diagnosis and procedure coding in ICD-10 administrative data. Med Care. 2006 Nov; 44(11):1011-9.
12. Pereira, S; Névéol, A; Massari, P; Joubert, M & Darmoni, SJ. Construction of a semi-automated ICD-10 coding help system to optimize medical and economic coding. Stud Health Technol Inform, Volume 124, Pages 845-850, 2006.
13. Patient Safety by Intelligent Procedures in medication. [cited 2010 march 8]; Available from: http://www.psipproject.eu.