Applied Clinical Informatics, Table of Contents Appl Clin Inform 2015; 06(02): 334-344DOI: 10.4338/ACI-2015-01-RA-0010 Research Article Schattauer GmbH Validation of a Crowdsourcing Methodology for Developing a Knowledge Base of Related Problem-Medication Pairs Authors Author Affiliations A. B. McCoy 1 Center for Applied Health Services Research, Ochsner Health System 2 Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans LA A. Wright 3 Department of Medicine, Brigham and Women’s Hospital 4 Department of Clinical Informatics Research and Development, Partners HealthCare 5 Harvard Medical School, Boston, MA M. Krousel-Wood 1 Center for Applied Health Services Research, Ochsner Health System 6 Department of Medicine, Tulane University School of Medicine 7 Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA E. J. Thomas 8 Department of Internal Medicine, The University of Texas Medical School at Houston 9 The University of Texas at Houston-Memorial Hermann Center for Healthcare Quality and Safety, Houston, TX J. A. McCoy 10 Department of Urology, Ochsner Health System, New Orleans, LA D. F. Sittig 11 The University of Texas School of Biomedical Informatics at Houston, Houston, TX Recommend Article Abstract Full Text PDF Download(opens in new window) Keywords KeywordsCrowdsourcing - electronic health records - knowledge bases - problem-oriented medical records - computer-assisted drug therapy - validation studies References References 1 Feblowitz JC, Wright A, Singh H, Samal L, Sittig DF. Summarization of clinical information: a conceptual model. J Biomed Inform 2011; 44 (04) 688-699. 2 McCoy AB, Wright A, Laxmisan A, Ottosen MJ, McCoy JA, Butten D, Sittig DF. 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