Andrew J. King, PhD

  • Research Assistant Professor of Critical Care Medicine

    Education & Training

  • BS, Bioinformatics, University of Pittsburgh, 2013
  • MS, Biomedical Informatics, University of Pittsburgh, 2015
  • PhD, Biomedical Informatics, University of Pittsburgh, 2018
  • Postdoctoral fellowship, Critical Care Informatics, University of Pittsburgh, 2021
Martin Epstein Award and First Place in the Student Paper Competition, AMIA Annual Symposium, 2016
First Place in the Student Paper Competition, AMIA Informatics Summit, 2017
Health Innovators Fellow, Jewish Healthcare Foundation, 2015 & 2017
Vice-chair, Intensive Care Informatics Working Group, American Medical Informatics Association (AMIA), 2019
Representative Publications

King AJ, Cooper GF, Clermont G, Hochheiser H, Hauskrecht M, Sittig DF, Visweswaran S. Using Machine Learning to Selectively Highlight Patient Information. J Biomed Inform. 2019 Dec;100:103327. [PMID: 31676461]

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 Jt Summits Transl Sci Proc. 2017 Jul 26;2017:512-521. [PMID: 28815151]

Huang DT, McVerry BJ, Horvat C, Adams PW, Berry S, Buxton M, Clermont G, Garrard W, Girard TD, Haidar G, King AJ, Linstrum K, Malakouti S, Mayr FB, McCreary EK, Montgomery SK, Seymour CW, Weissman A, Angus DC. Implementation of the Randomized Embedded Multifactorial Adaptive Platform for COVID-19 (REMAP-COVID) trial in a US health system—lessons learned and recommendations. Trials. 2021 Jan 28;22(1):100. [PMID: 33509275]

King AJ, Calzoni L, Tajgardoon M, Cooper G, Clermont G, Hochheiser H, Visweswaran S. A simple electronic medical record system designed for research. JAMIA Open. 2021 July 31;4(3):ooab040. [PMID: 34345801]

Research Interests
  • Artificial intelligence/machine learning
  • Human computer interaction
  • Implementation of evidence-based medicine
  • Clinician effectiveness and well-being