Clinical Research Informatics Contributions from 2015

References
1 Alonso-Calvo R, Perez-Rey D, Paraiso-Medina S, Claerhout B, Hennebert P, Bucur A. Enabling semantic interoperability in multi-centric clinical trials on breast cancer.. Comput Methods Programs Biomed 2015; Mar 118 (Suppl. 03) 322-9.
2 Bellazzi R, Dagliati A, Sacchi L, Segagni D. Big Data Technologies: New Opportunities for Diabetes Management.. J Diabetes Sci Technol 2015; Apr 24 9 (Suppl. 05) 1119-25.
3 Choquet R, Maaroufi M, de Carrara A, Messiaen C, Luigi E, Landais P. A methodology for a minimum data set for rare diseases to support national centers of excellence for healthcare and research.. J Am Med Inform Assoc 2015; Jan 22 (Suppl. 01) 76-85.
4 Dumitrescu L, Goodloe R, Bradford Y, Farber-Eger E, Boston J, Crawford DC. The effects of electronic medical record phenotyping details on genetic association studies: HDL-C as a case study.. BioData Min 2015; May 6 8: 15.
5 Gray EA, Thorpe JH. Comparative effectiveness research and big data: balancing potential with legal and ethical considerations.. J Comp Eff Res 2015; Jan 4 (Suppl. 01) 61-74.
6 Huser V, Sastry C, Breymaier M, Idriss A, Cimino JJ. Standardizing data exchange for clinical research protocols and case report forms: An assessment of the suitability of the Clinical Data Interchange Standards Consortium (CDISC) Operational Data Model (ODM).. J Biomed Inform 2015 Jul 15.
7 Kaye J, Whitley EA, Lund D, Morrison M, Teare H, Melham K. Dynamic consent: a patient interface for twenty-first century research networks.. Eur J Hum Genet 2015; Feb 23 (Suppl. 02) 141-6.
8 Kho AN, Cashy JP, Jackson KL, Pah AR, Goel S, Boehnke J. et al. Design and implementation of a privacy preserving electronic health record linkage tool in Chicago.. J Am Med Inform Assoc 2015; Sep 22 (Suppl. 05) 1072-80.
9 Koutkias VG, Jaulent MC. Computational approaches for pharmacovigilance signal detection: toward integrated and semantically-enriched frameworks.. Drug Saf 2015; Mar 38 (Suppl. 03) 219-32.
10 Kreuzthaler M, Schulz S, Berghold A. Secondary use of electronic health records for building cohort studies through top-down information extraction.. J Biomed Inform 2015; Feb 53: 188-95.
11 Liang SF, Taweel A, Miles S, Kovalchuk Y, Spiridou A, Barratt B. et al. Semi automated transformation to OWL formatted files as an approach to data integration. A feasibility study using environmental, disease register and primary care clinical data.. Methods Inf Med 2015; 54 (Suppl. 01) 32-40.
12 Mate S, Köpcke F, Toddenroth D, Martin M, Prokosch HU, Bürkle T, Ganslandt T. Ontology-based data integration between clinical and research systems.. PLoS One 2015; Jan 14 10 (Suppl. 01) e0116656.
13 Pang C, Hendriksen D, Dijkstra M, van der Velde KJ, Kuiper J, Hillege HL. et al. BiobankConnect: software to rapidly connect data elements for pooled analysis across biobanks using ontological and lexical indexing.. J Am Med Inform Assoc 2015; Jan 22 (Suppl. 01) 65-75. .
14 Pivovarov R, Perotte AJ, Grave E, Angiolillo J, Wiggins CH, Elhadad N. Learning probabilistic phenotypes from heterogeneous EHR data.. J Biomed Inform 2015; Dec 58: 156-65.
15 Soto-Rey I, Trinczek B, Girardeau Y, Zapletal E, Ammour N, Doods J. et al. Efficiency and effectiveness evaluation of an automated multi-country patient count cohort system.. BMC Med Res Methodol 2015; May 1 15: 44.
16 Voss EA, Makadia R, Matcho A, Ma Q, Knoll C, Schuemie M. et al. Feasibility and utility of applications of the common data model to multiple, disparate observational health databases.. J Am Med Inform Assoc 2015; May 22 (Suppl. 03) 553-64.