Drug safety surveillance using de-identified EMR and claims data: Issues and challenges

Journal of the American Medical Informatics Association

Volumn 17, Issue 6, 2010, Pages 671-674

  Nadkarni, Prakash M ^a  

^a YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADVERSE OUTCOME; ARTICLE; BILLING AND CLAIMS; DRUG INFORMATION; DRUG SAFETY; DRUG SURVEILLANCE PROGRAM; HUMAN; INTERNET; LINGUISTICS; MEDICAL INFORMATION SYSTEM; NATURAL LANGUAGE PROCESSING; NOMENCLATURE; RELIABILITY; SCORING SYSTEM; SIGNAL DETECTION; SYMPTOMATOLOGY; SYSTEMATIZED NOMENCLATURE OF MEDICINE;

ADVERSE DRUG REACTION REPORTING SYSTEMS; DOSE-RESPONSE RELATIONSHIP, DRUG; ELECTRONIC HEALTH RECORDS; HUMANS; INSURANCE CLAIM REVIEW; PRODUCT SURVEILLANCE, POSTMARKETING; SENSITIVITY AND SPECIFICITY; UNITED STATES; VOCABULARY, CONTROLLED;

EID: 78650495544     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/jamia.2010.008607     Document Type: Article

References (26)

1. Reisinger SJ, Ryan PB, O'Hara DJ, et al. Development and evaluation of a common data model enabling active drug safety surveillance using disparate healthcare databases. J Am Med Inform Assoc 2010;17:652-62.
2. Observational Medical Outcomes Partnership. OMOP Common Data Model Specifications, Version 2.0. 2009. http://omop.fnih.org (accessed 9 Jan 2010).
3. Lindberg DAB, Humphreys BL, McCray AT. The unified medical language system. Meth Inform Med 1993;32:281-91.
4. World Health Organization. International Classification of Diseases, 10th edn. Geneva, Switzerland, 1992.
5. MedDRA Maintenance and Support Organization. Medical Dictionary of Regulatory Activities. 2009. http://www.meddramsso.com (accessed 10 Sep 2009).
6. Harris G. Use of Antipsychotics in Children Is Criticized. The New York Times, 2008.
7. International Health Terminology Standards Development Organization. SNOMED Clinical Terms (SNOMED CT). 2009. http://www.snomed.org (accessed 2 Jan 2009).
8. Chute C, Cohn S, Campbell K, et al. The content coverage of clinical classifications. For The Computer-Based Patient Record Institute's Work Group on Codes & Structures. J Am Med Inform Assoc 1996;3:224-33.
9. Brouch K. AHIMA project offers insights into SNOMED, ICD-9-CM mapping process. J AHIMA 2003;74:52-5.
10. Stein H, Nadkarni P, Erdos J, et al. Exploring the degree of concordance of coded and textual data in answering clinical queries from a clinical data repository. J Am Med Inform Assoc 2000;7:42-54.
11. Warren J, Collins J, Sorrentino C, et al. Just-in-time coding of the problem list in a clinical environment. Proc AMIA Symp 1998; Washington DC:280-4.
12. US National Library of Medicine. The CORE problem list subset of SNOMED-CT. 2009. http://www.nlm.nih.gov/research/umls/Snomed/core_subset.html (accessed 6 Jan 2010).
13. Nadkarni P, Darer J. Migrating existing clinical content from ICD-9 to SNOMED. J Am Med Inform Assoc 2010;17:602-7.
14. Wang X, Hripcsak G, Markatou M, et al. Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study. J Am Med Inform Assoc 2009;16:328-37.
15. Cimino JJ. Desiderata for controlled medical vocabularies in the twenty-first century. Methods Inf Med 1998;37:394-403.
16. Merrill G. The MedDRA paradox. AMIA Annu Fall Symp 2008:470-4.
17. Richesson R, Fung K, Krischer J. Heterogeneous but "standard" coding systems for adverse events: Issues in achieving interoperability between apples and oranges. Contemp Clin Trials 2008;29:635-45.
18. Bousquet C, Lagier G, Liio-Le-Lou A, et al. Appraisal of the MedDRA conceptual structure for Describing and Grouping Adverse Drug Reactions. Drug Saf 2005;28:19-34.
19. Bodenreider O. Using SNOMED CT in combination with MedDRA for reporting signal detection and adverse drug reactions reporting. AMIA Annu Fall Symp Am Med Inform Assoc 2009;2009:45-9.
20. National Cancer Institute. Common Terminology Criteria for Adverse Events (CTCAE) and Common Toxicity Criteria (CTC). 2009. http://ctep.cancer.gov/protocolDevelopment/electronic_applications/ctc.htm (accessed 9 Jan 2009).
21. Daly A, Song K, Nevill T, et al. Stem cell transplantation for myelofibrosis: a report from two Canadian centers. Bone Marrow Transplant 2003;32:35-40.
22. Woodworth T, Furst DE, Alten R, et al. Standardizing assessment and reporting of adverse effects in rheumatology clinical trials II: the Rheumatology Common Toxicity Criteria v.2.0. J Rheumatol 2007;34:1401-14.
23. Landers S. FDA requires black-box warnings for fluoroquinolones. 2008. http://www.ama-assn.org/amednews/2008/07/28/hlsc0728.htm (accessed 9 Feb 2010).
24. Cerner Corporation. Multum Lexicon. 2005. http://www.multum.com/VantageRxDB.htm (accessed 6 Aug 2005).
25. National Library of Medicine. RxNorm. 2010. http://www.nlm.nih.gov/research/umls/rxnorm (accessed 9 Feb 2010).
26. National Library of Medicine. About DailyMed. 2010. http://www.dailymed.nlm.nih.gov/dailymed/about.cfm (accessed 9 Feb 2010).