Postdoctoral Scholar in Critical Care Informatics
Derek C Angus, MD, MPH, FRCP, adviser
PhD, Biomedical Informatics
University of Pittsburgh School of Medicine
Gregory F Cooper, MD, PhD, adviser
Completed Summer 2018
MS, Biomedical Informatics
University of Pittsburgh School of Medicine
Completed Spring 2015
BS, Bioinformatics, Chemistry minor
University of Pittsburgh Dietrich School of Arts & Sciences
Completed Spring 2013
Honors & Awards
Nominated for the Distinguished Paper Award
AMIA Annual Symposium 2018. San Francisco, CA
Best Student Paper
Pittsburgh Biomedical Informatics Training Program Retreat 2017. Pittsburgh, PA
First Place in the Student Paper Competition
AMIA Joint Summits 2017. San Francisco, CA
Best Student Paper
Pittsburgh Biomedical Informatics Training Program Retreat 2016. Pittsburgh, PA
Martin Epstein Award and First Place in the Student Paper Competition
AMIA Annual Symposium 2015. San Francisco, CA
Best Student Poster
Pittsburgh Biomedical Informatics Training Program Retreat 2015. Pittsburgh, PA
King AJ, Cooper GF, Hochheiser H, Clermont G, Visweswaran S. Development and preliminary evaluation of a prototype of a learning electronic medical record system. AMIA Annu Symp Proc. 2015 Nov 14-18; San Francisco, California p.1967-1975. [Best Student Paper]
Uppal R, Mandava G, Romagnoli KM, King AJ, Draper A, Handen A, Fisher A, Becich MJ, Dutta Moscato J. How can we improve Science, Technology, Engineering, and Math education to encourage careers in biomedical and pathology informatics? J Pathol Inform. 2016 Jan 29; 7 (2).
King AJ, Fisher A, Becich M, Boone D. Computer Science, Biology, and Biomedical Informatics Academy: outcomes from five years of emerging high school students into informatics research. J Pathol Inform 2017;8:2.
King AJ, Hochheiser H, Visweswaran S, Clermont G, Cooper GF. Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR. AMIA Joint Summits. 2017 Mar 27-30; San Francisco, California p 512-521. [Best Student Paper]
King AJ, Cooper GF, Hochheiser H, Clermont G, Hauskrecht M, Visweswaran S. Using machine learning to predict the information seeking behavior of clinicians using an electronic medical record system. AMIA Annu Symp Proc. 2018 Nov 3-7; San Francisco, California p 673-682. [Distinguished Paper Nomination]
King AJ, Cooper GF, Hochheiser H, Visweswaran S. Development and Evaluation of a Prototype of a Learning Electronic Medical Record System. Poster presented at: NLM Informatics Training Conference; 2015 Jun 23-24; Bethesda, MD.
King AJ, Cooper GF, Hochheiser H, Visweswaran S. Training a Learning Electronic Medical Record. Poster presented at: DBMI Annual Training Program Retreat; 2015 Aug 20-21; Pittsburgh, PA.
King AJ, Ding MQ, Douglas GP. Understanding Blood Transfusion Workflow in a Malawi Central Hospital and Recommendations for Implementing a Laboratory Information Management System. Poster presented at: BGSA Annual Symposium; 2015 Nov 3-4; Pittsburgh, PA.
King AJ, Cooper GF, Hochheiser H, Visweswaran S. Using a Low Cost Eye Tracking Device to Automatically Label Information Usage Patterns. Poster presented at: DBMI Annual Training Program Retreat; 2016 Aug 25-26; Pittsburgh, PA.
King AJ, Cooper GF, Hochheiser H, Visweswaran S. Learning Cycle of a Learning Electronic Medical Record. Poster presented at: University of Michigan—University of Pittsburgh Collaborative Scholarship Meeting; 2017 May 10; Cleveland, OH.
My path to graduate school and the development of a Learning Electronic Medical Record. Guest lecture for University of Pittsburgh BIOSCI 1540 Computational Biology. 26 Oct. 2015 & 21 Nov. 2016.
Rethinking the EMR. Presented at University of Pittsburgh Department of Critical Care Medicine CRISMA Weekly Conference. 7 Feb. 2017.
Reimagining Electronic Medical Records as Context Aware Information Resources. Guest lecture for Carnegie Mellon University 67-308 Innovation Studio: Healthcare Information Systems. April 2018.
Evaluation Metrics. Guest lecture for CoSBBI and iBRIC summer research programs. June 2018
Andrew King is a dedicated learner and passionate futurist. His vision is to create a world where everyone has access to high-quality health care. To realize this vision, researchers must translate cutting-edge, life-saving treatments to practice, and must develop innovative technologies that improve outcomes, lower costs, and improve the clinician experience. Dr. King has dedicated his last twelve years of study to gain skills and position himself for developing artificial intelligence solutions that work in partnership with care providers, to complement their abilities and meet their information needs. As a post-doctoral scholar in critical care informatics, Dr. King is pushing towards his vision by developing a voice-interactive platform for team coordination and augmentation of human abilities.
Starting in high school, Dr. King identified computer science and chemistry as the subjects he would pursue as a double major in college because the combination seemed more potent than either domain independently. At college orientation, he discovered the nascent bioinformatics major; the fit was perfect. Four years later Dr. King was among the first bioinformatics graduates at the University of Pittsburgh (2013). For graduate school, he shifted into biomedical informatics where he could perform research at the human level (i.e., patients and care providers). While completing his dissertation, the Development and Evaluation of a Learning Electronic Medical Record System (LEMR), Dr. King received the Martin Epstein Award and first place in the student paper competition at the 2015 Annual Symposium of the American Medical Informatics Association (AMIA). He also received first place in the student paper competition at the 2017 AMIA Informatics Summits and was nominated for the distinguished paper award at the 2018 Annual Symposium of the AMIA. Dr. King is now working to increase his credibility in clinical translation and develop a platform that will allow researchers and himself to translate innovative technologies that improve outcomes, lower costs, and improve the clinician experience.