Applied Clinical Informatics, Table of Contents Appl Clin Inform 2017; 08(01): 35-46DOI: 10.4338/ACI-2016-09-CR-0148 Case Report Schattauer GmbH Using Active Learning to Identify Health Information Technology Related Patient Safety Events Authors Author Affiliations Allan Fong 1 MedStar Institute for Innovation –National Center for Human Factors in Healthcare, 3007 Tilden St. NW, Suite 7M, Washington, D.C. 20008, USA Jessica L. Howe 1 MedStar Institute for Innovation –National Center for Human Factors in Healthcare, 3007 Tilden St. NW, Suite 7M, Washington, D.C. 20008, USA Katharine T. Adams 1 MedStar Institute for Innovation –National Center for Human Factors in Healthcare, 3007 Tilden St. NW, Suite 7M, Washington, D.C. 20008, USA Raj M. Ratwani 1 MedStar Institute for Innovation –National Center for Human Factors in Healthcare, 3007 Tilden St. NW, Suite 7M, Washington, D.C. 20008, USA 2 Georgetown University Medical Center, 3800 Reservoir Rd NW, Washington, DC 20007 Recommend Article Abstract Full Text PDF Download(opens in new window) Keywords KeywordsPatient safety - health information technology - active learning - human-in-the-loop - machine learning - patient safety event reports References References 1 Charles D, Gabriel M, Searcy T, Carolina N, Carolina S. Adoption of Electronic Health Record Systems among U.. S. Non –Federal Acute Care Hospitals: 2008–2014. 2015 2 Karsh BT, Weinger MB, Abbott PA, Wears RL. Health information technology: fallacies and sober realities. J Am Med Informatics Assoc 2010; 17 (Suppl. 06) 617-623. Available from: http://www.ncbi.nlm.nih.gov pubmed/20962121 3 Fong A, Ratwani RM. An Evaluation of Patient Safety Event Report Categories Using Unsupervised Topic Modeling. 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