Andrew J. King

According to our database, Andrew J. King authored at least 9 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Intelligent Reasoning Cues: A Framework and Case Study of the Roles of AI Information in Complex Decisions.

Venkatesh Sivaraman, Eric Paul Mason, Mengfan Ellen Li, Jessica Tong, Andrew Joseph King, Jeremy M. Kahn, Adam Perer

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2024

Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit.

Nur Yildirim, Susanna Zlotnikov, Deniz Sayar, Jeremy M. Kahn, Leigh A. Bukowski, Sher Shah Amin, Kathryn A. Riman, Billie S. Davis, John S. Minturn, Andrew J. King, Dan Ricketts, Lu Tang, Venkatesh Sivaraman, Adam Perer, Sarah Masud Preum, James McCann, John Zimmerman

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

A voice-based digital assistant for intelligent prompting of evidence-based practices during ICU rounds.

Andrew J. King, Derek C. Angus, Gregory F. Cooper, Danielle L. Mowery, Jennifer B. Seaman, Kelly M. Potter, Leigh A. Bukowski, Ali Al-Khafaji, Scott R. Gunn, Jeremy M. Kahn

J. Biomed. Informatics, October, 2023

2022

Developing a shared sepsis data infrastructure: a systematic review and concept map to FHIR.

Emily B. Brant, Jason N. Kennedy, Andrew J. King, Lawrence Gerstley, Pranita Mishra, David Schlessinger, James Shalaby, Gabriel J. Escobar, Derek C. Angus, Christopher W. Seymour, Vincent X. Liu

npj Digit. Medicine, 2022

2019

Using machine learning to selectively highlight patient information.

Andrew J. King, Gregory F. Cooper, Gilles Clermont, Harry Hochheiser, Milos Hauskrecht, Dean F. Sittig, Shyam Visweswaran

J. Biomed. Informatics, 2019

Insights from a dissertation on the development of a Learning Electronic Medical Record System: data-driven, context-aware learning.

Andrew J. King, Shyam Visweswaran, Harry Hochheiser, Gilles Clermont, Gregory F. Cooper

Proceedings of the AMIA 2019, 2019

2018

Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System.

Andrew J. King, Gregory F. Cooper, Harry Hochheiser, Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran

Proceedings of the AMIA 2018, 2018

2017

Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR.

Andrew J. King, Harry Hochheiser, Shyam Visweswaran, Gilles Clermont, Gregory F. Cooper

Proceedings of the Summit on Clinical Research Informatics, 2017

2015

Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System.

Andrew J. King, Gregory F. Cooper, Harry Hochheiser, Gilles Clermont, Shyam Visweswaran

Proceedings of the AMIA 2015, 2015