Trends in biomedical informatics: Most cited topics from recent years

Journal of the American Medical Informatics Association

Volumn 18, Issue SUPPL. 1, 2011, Pages 166-170

  Kim, Hyeon Eui ^a   Jiang, Xiaoqian ^a   Kim, Jihoon ^a   Ohno Machado, Lucila ^a  

^a UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCESS TO INFORMATION; ARTICLE; BIOINFORMATICS; ELECTRONIC MEDICAL RECORD; INFORMATION RETRIEVAL; INFORMATION STORAGE; INTERNET; LANGUAGE PROCESSING; PUBLICATION; PUBLISHING; TREND STUDY; BIBLIOMETRICS; MEDICAL INFORMATICS; MEDICAL RESEARCH; MEDICAL SUBJECT HEADINGS;

BIBLIOMETRICS; BIOMEDICAL RESEARCH; MEDICAL INFORMATICS; MEDICAL SUBJECT HEADINGS; PERIODICALS AS TOPIC;

EID: 84865305347     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2011-000706     Document Type: Article

References (63)

1. PubMed. http://www.ncbi.nlm.nih.gov/pubmed/ (accessed 16 Nov 2011).
2. Web of Science. Thomson Reuters. http://wokinfo.com/products_tools/multidisciplinary/webofscience/ (accessed 15 Nov 2011).
3. Backus LI, Gavrilov S, Loomis TP, et al. Clinical case registries: simultaneous local and national disease registries for population quality management. J Am Med Inform Assoc 2009;16:775-83.
4. Denny JC, Spickard A 3rd, Johnson KB, et al. Evaluation of a method to identify and categorize section headers in clinical documents. J Am Med Inform Assoc 2009;16:806-15.
5. El Emam K, Brown A, AbdelMalik P. Evaluating predictors of geographic area population size cut-offs to manage re-identification risk. J Am Med Inform Assoc 2009;16:256-66.
6. El Emam K, Dankar FK, Issa R, et al. A globally optimal k-anonymity method for the de-identification of health data. J Am Med Inform Assoc 2009;16:670-82.
7. Ford EW, Menachemi N, Peterson LT, et al. Resistance is futile: but it is slowing the pace of EHR adoption nonetheless. J Am Med Inform Assoc 2009;16:274-81.
8. Goroll AH, Simon SR, Tripathi M, et al. Community-wide implementation of health information technology: the Massachusetts eHealth Collaborative experience. J Am Med Inform Assoc 2009;16:132-9.
9. Himes BE, Dai Y, Kohane IS, et al. Prediction of chronic obstructive pulmonary disease (COPD) in asthma patients using electronic medical records. J Am Med Inform Assoc 2009;16:371-9.
10. Hripcsak G, Soulakis ND, Li L, et al. Syndromic surveillance using ambulatory electronic health records. J Am Med Inform Assoc 2009;16:354-61.
11. Lazarus R, Klompas M, Campion FX, et al. Electronic support for public health: validated case finding and reporting for notifiable diseases using electronic medical data. J Am Med Inform Assoc 2009;16:18-24.
12. Reti SR, Feldman HJ, Safran C. Governance for personal health records. J Am Med Inform Assoc 2009;16:14-17.
13. Simon SR, Soran CS, Kaushal R, et al. Physicians' use of key functions in electronic health records from 2005 to 2007: a statewide survey. J Am Med Inform Assoc 2009;16:465-70.
14. Turchin A, Shubina M, Breydo E, et al. Comparison of information content of structured and narrative text data sources on the example of medication intensification. J Am Med Inform Assoc 2009;16:362-70.
15. Unertl KM, Weinger MB, Johnson KB, et al. Describing and modeling workflow and information flow in chronic disease care. J Am Med Inform Assoc 2009;16:826-36.
16. Uzuner O, Zhang X, Sibanda T. Machine learning and rule-based approaches to assertion classification. J Am Med Inform Assoc 2009;16:109-15.
17. 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.
18. Zheng K, Padman R, Johnson MP, et al. An interface-driven analysis of user interactions with an electronic health records system. J Am Med Inform Assoc 2009;16:228-37.
19. Zhou L, Soran CS, Jenter CA, et al. The relationship between electronic health record use and quality of care over time. J Am Med Inform Assoc 2009;16:457-64.
20. Adler-Milstein J, Landefeld J, Jha AK. Characteristics associated with regional health information organization viability. J Am Med Inform Assoc 2010;17:61-5.
21. Benitez K, Malin B. Evaluating re-identification risks with respect to the HIPAA privacy rule. J Am Med Inform Assoc 2010;17:169-77.
22. Loukides G, Denny JC, Malin B. The disclosure of diagnosis codes can breach research participants' privacy. J Am Med Inform Assoc 2010;17:322-7.
23. Simborg DW. Consumer empowerment versus consumer populism in healthcare IT. J Am Med Inform Assoc 2010;17:370-2.
24. Vest JR, Gamm LD. Health information exchange: persistent challenges and new strategies. J Am Med Inform Assoc 2010;17:288-94.
25. Were MC, Emenyonu N, Achieng M, et al. Evaluating a scalable model for implementing electronic health records in resource-limited settings. J Am Med Inform Assoc 2010;17:237-44.
26. Wrenn JO, Stein DM, Bakken S, et al. Quantifying clinical narrative redundancy in an electronic health record. J Am Med Inform Assoc 2010;17:49-53.
27. Wright A, Soran C, Jenter CA, et al. Physician attitudes toward health information exchange: results of a statewide survey. J Am Med Inform Assoc 2010; 17:66-70.
28. Aronson AR, Lang FM. An overview of MetaMap: historical perspective and recent advances. J Am Med Inform Assoc 2010;17:229-36.
29. Johnson SB, Whitney G, McAuliffe M, et al. Using global unique identifiers to link autism collections. J Am Med Inform Assoc 2010;17:689-95.
30. Kilicoglu H, Demner-Fushman D, Rindflesch TC, et al. Towards automatic recognition of scientifically rigorous clinical research evidence. J Am Med Inform Assoc 2009;16:25-31.
31. Laurent MR, Vickers TJ. Seeking health information online: does wikipedia matter? J Am Med Inform Assoc 2009;16:471-9.
32. Lu Z, Kim W, Wilbur WJ. Evaluating relevance ranking strategies for MEDLINE retrieval. J Am Med Inform Assoc 2009;16:32-6.
33. Matwin S, Kouznetsov A, Inkpen D, et al. A new algorithm for reducing the workload of experts in performing systematic reviews. J Am Med Inform Assoc 2010;17:446-53.
34. Melton GB, Raman N, Chen ES, et al. Evaluation of family history information within clinical documents and adequacy of HL7 clinical statement and clinical genomics family history models for its representation: a case report. J Am Med Inform Assoc 2010;17:337-40.
35. Pathak J, Solbrig HR, Buntrock JD, et al. LexGrid: a framework for representing, storing, and querying biomedical terminologies from simple to sublime. J Am Med Inform Assoc 2009;16:305-15.
36. Payne TH, tenBroek AE, Fletcher GS, et al. Transition from paper to electronic inpatient physician notes. J Am Med Inform Assoc 2010;17:108-11.
37. Weber GM, Murphy SN, McMurry AJ, et al. The Shared Health Research Information Network (SHRINE): a prototype federated query tool for clinical data repositories. J Am Med Inform Assoc 2009;16:624-30.
38. Field TS, Rochon P, Lee M, et al. Computerized clinical decision support during medication ordering for long-term care residents with renal insufficiency. J Am Med Inform Assoc 2009;16:480-5.
39. Flanagan ME, Patterson ES, Frankel RM, et al. Evaluation of a physician informatics tool to improve patient handoffs. J Am Med Inform Assoc 2009;16:509-15.
40. Neumuth T, Jannin P, Strauss G, et al. Validation of knowledge acquisition for surgical process models. J Am Med Inform Assoc 2009;16:72-80.
41. Paterno MD, Maviglia SM, Gorman PN, et al. Tiering drug-drug interaction alerts by severity increases compliance rates. J Am Med Inform Assoc 2009;16:40-6.
42. Rosenbloom ST, Brown SH, Froehling D, et al. Using SNOMED CT to represent two interface terminologies. J Am Med Inform Assoc 2009;16:81-8.
43. D'Avolio LW, Nguyen TM, Farwell WR, et al. Evaluation of a generalizable approach to clinical information retrieval using the automated retrieval console (ARC). J Am Med Inform Assoc 2010;17:375-82.
44. Kullo IJ, Fan J, Pathak J, et al. Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease. J Am Med Inform Assoc 2010;17:568-74.
45. Li Z, Liu F, Antieau L, et al. Lancet: a high precision medication event extraction system for clinical text. J Am Med Inform Assoc 2010;17:563-7.
46. Patrick J, Li M. High accuracy information extraction of medication information from clinical notes: 2009 i2b2 medication extraction challenge. J Am Med Inform Assoc 2010;17:524-7.
47. Savova GK, Masanz JJ, Ogren PV, et al. Mayo clinical text analysis and knowledge extraction system (cTAKES): architecture, component evaluation and applications. J Am Med Inform Assoc 2010;17:507-13.
48. Spasic I, Sarafraz F, Keane JA, et al. Medication information extraction with linguistic pattern matching and semantic rules. J Am Med Inform Assoc 2010;17:532-5.
49. Xu H, Stenner SP, Doan S, et al. MedEx: a medication information extraction system for clinical narratives. J Am Med Inform Assoc 2010;17:19-24.
50. Shea S, Weinstock RS, Teresi JA, et al. A randomized trial comparing telemedicine case management with usual care in older, ethnically diverse, medically underserved patients with diabetes mellitus: 5 year results of the IDEATel study. J Am Med Inform Assoc 2009;16:446-56.
51. Seglen PO. Why the impact factor of journals should not be used for evaluating research. BMJ 1997;314:498-502.
52. Foss SD. A method for obtaining initial estimates of parameters in exponential curve fitting. Biometrics 1969;25:580.
53. Wolfsegger MJ, Jaki T. Non-compartmental estimation of pharmacokinetic parameters in serial sampling designs. J Pharmacokinet Pharmacodyn 2009;36:479-94.
54. Antelman K. Do open-access articles have a greater research impact? Coll Res Libr 2004;65:372-82.
55. Davis PM. Open access: increased citations not guaranteed. Science 2009;325:266.
56. Davis PM. Open access, readership, citation: a randomized controlled trial of scientific journal publishing. FASEB J 2011;25:2129-34.
57. Evans JA, Reimer J. Open access and global participation in science. Science 2009;323:1025.
58. Gargouri Y, Hajjem C, Larivie're V, et al. Self-selected or mandated, open access increases citation impact for higher quality research. PLoS One 2010;5: e13636.
59. Eysenbach G. Citation advantage of open access articles. PLoS Biol 2006;4:e157.
60. Vogel G. Open access gains support; fees and journal quality deter submissions. Science 2011;331:273.
61. Falagas ME, Pitsouni EI, Malietzis GA, et al. Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses. FASEB J 2008;22:338-42.
62. Jacso P. As we may searchdcomparison of major features of the Web of Science, Scopus, and Google Scholar citation-based and citation-enhanced databases. Curr Sci India 2005;89:1537-47.
63. Meho LI, Yang K. Impact of data sources on citation counts and rankings of LIS faculty: Web of science versus scopus and google scholar. J Am Soc Inf Sci Tec 2007;58:2105-25.