Applied Clinical Informatics, Table of Contents Appl Clin Inform 2013; 04(02): 185-200DOI: 10.4338/ACI-2013-01-RA-0005 Research Article Schattauer GmbH An Information Systems Model of the Determinants of Electronic Health Record Use P. Messeri 1 Mailman School of Public Health, Columbia Univiersity, Sociomedical Sciences, New York, New York, United States , S. Khan 2 Columbia University, BIomedical Informatics, News York, United States , M. Millery 3 Columbia University, Socomedical Sciences, New York, New York, United States , A. Campbell 4 Pennsylvania State University, Population Research Institute, University Park, Pennsylvania, United States , J. Merrill 5 Columbia University, Biomedical Informatics, New York, New York, United States , S. Shih 6 NYC Department of Health and Mental Hygene, New York, New York, United States , R. Kukafka 5 Columbia University, Biomedical Informatics, New York, New York, United States › Author Affiliations Recommend Article Abstract Full Text PDF Download Keywords KeywordsElectronic health records - health information technology - EHR evaluation - provider assessment of EHR quality References References 1 Institute of Medicine (U. S.) Committee on Data Standards for Patient Safety. Key capabilities of an electronic health record system : letter report. Washington, D.C.: The National Academies Press; 2003 2 Blumenthal D. Stimulating the Adoption of Health Information Technology. N Engl J Med 2009; 360 (15) 1477-1479. 3 Wang SJ. et al. A cost-benefit analysis of electronic medical records in primary care. Am J Med 2003; 114 (05) 397-403. 4 Bates DW. et al. The impact of computerized physician order entry on medication error prevention. J Am Med Inform Assoc 1999; 6 (04) 313-321. 5 Kuperman GJ, Teich JM, Gandhi TK, Bates DW. 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