David A. Hanauer

David A. Hanauer, Naren Ramakrishnan: Modeling temporal relationships in large scale clinical associations. JAMIA 20(2): 332-341 (2013)

Naren Sundaravaradan, Naren Ramakrishnan, David A. Hanauer: Factorizing Event Sequences. IEEE Computer 45(12): 73-75 (2012)

Xiaomu Zhou, Kai Zheng, Mark S. Ackerman, David A. Hanauer: Cooperative documentation: the patient problem list as a nexus in electronic health records. CSCW 2012: 911-920

Kai Zheng, Qiaozhu Mei, David A. Hanauer: Collaborative search in electronic health records. JAMIA 18(3): 282-291 (2011)

Kai Zheng, Michael H. Guo, David A. Hanauer: Using the time and motion method to study clinical work processes and workflow: methodological inconsistencies and a call for standardized research. JAMIA 18(5): 704-710 (2011)

Kai Zheng, David A. Hanauer, Rema Padman, Michael P. Johnson, Anwar A. Hussain, Wen Ye, Xiaomu Zhou, Herbert S. Diamond: Handling anticipated exceptions in clinical care: investigating clinician use of 'exit strategies' in an electronic health records system. JAMIA 18(6): 883-889 (2011)

Debprakash Patnaik, Patrick Butler, Naren Ramakrishnan, Laxmi Parida, Benjamin J. Keller, David A. Hanauer: Experiences with mining temporal event sequences from electronic medical records: initial successes and some challenges. KDD 2011: 360-368

Naren Ramakrishnan, David A. Hanauer, Benjamin J. Keller: Mining Electronic Health Records. IEEE Computer 43(10): 77-81 (2010)

John S. Aberdeen, Samuel Bayer, Reyyan Yeniterzi, Benjamin Wellner, Cheryl Clark, David A. Hanauer, Bradley Malin, Lynette Hirschman: The MITRE Identification Scrubber Toolkit: Design, training, and assessment. I. J. Medical Informatics 79(12): 849-859 (2010)

Kai Zheng, Hilary M. Haftel, Ronald B. Hirschl, Michael O'Reilly, David A. Hanauer: Quantifying the impact of health IT implementations on clinical workflow: a new methodological perspective. JAMIA 17(4): 454-461 (2010)

Lisa Seyfried, David A. Hanauer, Donald Nease, Rashad Albeiruti, Janet Kavanagh, Helen C. Kales: Enhanced identification of eligibility for depression research using an electronic medical record search engine. I. J. Medical Informatics 78(12): 13-18 (2009)