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Andrew J. King, PhD, FAMIA

Andrew J. King
  • Adjunct Assistant Professor of Biomedical Informatics (2025–2026)
  • Director of Precision Education Technology, University of Pennsylvania Perelman School of Medicine
  • Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania

Department of Biomedical Informatics (DBMI) | University of Pittsburgh School of Medicine

Biography

Dr. Andrew J. King is a biomedical informatician specializing in clinical informatics, natural language processing, and AI-driven tools for the intensive care unit. He earned his PhD in Biomedical Informatics from the University of Pittsburgh in 2018 and completed postdoctoral training in critical care informatics. Dr. King held appointments as Assistant Professor of Critical Care Medicine (2022–2026) and Assistant Professor of Biomedical Informatics (2025–2026) at the University of Pittsburgh before joining the University of Pennsylvania Perelman School of Medicine in 2026 as Director of Precision Education Technology. He is a Fellow of the American Medical Informatics Association (FAMIA).

Research Interests

Dr. King’s research focuses on developing and evaluating data-driven tools to improve clinical care and clinician performance in the intensive care unit. His work spans the design of learning electronic medical record systems, use of eye-tracking and machine learning to prioritize relevant patient data, NLP-powered case reporting for adaptive platform trials, voice-based digital assistants for evidence-based ICU practice, and ambient listening systems for AI-driven educational feedback. He is also engaged in interoperability research using FHIR standards and in improving ICU team communication through computational analysis of rounding discussions.

Specialties

  • Critical Care Informatics and AI in the ICU
  • Natural Language Processing for Clinical Text
  • Ambient Listening and AI-Driven Feedback Systems
  • FHIR and Interoperability Standards
  • Machine Learning for Clinical Decision Support

Websites & Links

Education & Training

  • B.S., BioinformaticsUniversity of Pittsburgh School of Arts and Sciences, Pittsburgh, PA2013
  • M.S., Biomedical InformaticsUniversity of Pittsburgh School of Medicine, Pittsburgh, PA2015
  • Ph.D., Biomedical InformaticsUniversity of Pittsburgh School of Medicine, Pittsburgh, PA2018
  • Pre-doctoral Fellow, National Library of MedicineUniversity of Pittsburgh, Pittsburgh, PA2013–2016
  • Postdoctoral Fellow, Critical Care Informatics / National Library of MedicineUniversity of Pittsburgh, Pittsburgh, PA2018–2021

Awards & Distinctions

  • Fellow of the American Medical Informatics Association (FAMIA)AMIA2025
  • First Place, Student Paper CompetitionAMIA Joint Summits2017
  • First Place Team, Shared Task CompetitionMediQS-SYNUR2026
  • Martin Epstein Award & First Place, Student Paper CompetitionAMIA Annual Symposium2015

Representative Publications

  1. King AJ, Angus DC, Cooper GF, et al. A voice-based digital assistant for intelligent prompting of evidence-based practices during ICU rounds. J Biomed Inform 146:104483, 2023.

    PubMed

  2. King AJ, Tang L, Davis BS, et al. Machine learning-based prediction of low-value care for hospitalized patients. Intell Based Med 8:100115, 2023.

  3. King AJ, Horvat CM, Schlessinger D, et al. A FHIR-Powered Python Implementation of the SENECA Algorithm for Sepsis Subtyping. Appl Clin Inform 16(5):1588–1594, 2025.

    DOI

  4. King AJ, Kahn JM, Brant EB, et al. Initial Development of an Automated Platform for Assessing Trainee Performance on Case Presentations. ATS Sch 3:548–560, 2022.

  5. King AJ, Cooper GF, Hochheiser H, et al. Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System. AMIA Annu Symp Proc 2018:673–682.