Christopher King

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Assistant Professor

Washington University in St. Louis

United States

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About

Christopher King is an Assistant Professor at Washington University in St Louis, USA. His research areas include telemedicine, machine learning applications in perioperative care, intraoperative communication, and the integration of electronic health records. He has contributed to several recent studies focused on the impact of advanced technologies on postoperative outcomes and clinician decision-making.

Recent Grants

Grant: Close

Machine Learning Risk Predictions at OR-ICU handoff

Open Date: 2019-07-01

Close Date: 2020-06-01

Grant: Close

Methods for Genetic Resequencing Association Studies: Training and Research

Open Date: 2010-07-01

Close Date: 2012-06-30

Articles (14)

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2025

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2020

Collaborators (2)

Joanna Abraham

Washington University School of Medicine

UNITED STATES

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Troy Wildes

Professor

University of Nebraska Medical Center

UNITED STATES

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Christopher King

Research Interests

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About

Recent Grants

Articles (14)

Effect of telemedicine support for intraoperative anaesthesia care on postoperative outcomes: the TECTONICS randomised clinical trial

Effect of standardized EHR-integrated handoff report on intraoperative communication outcomes

Effect of machine learning models on clinician prediction of postoperative complications: the Perioperative ORACLE randomised clinical trial

Agreement between three noninvasive temperature monitoring devices during spinal anaesthesia for caesarean delivery: a prospective observational study

Multi-view representation learning for tabular data integration using inter-feature relationships

Potential uses of AI for perioperative nursing handoffs: a qualitative study

Predicting self-intercepted medication ordering errors using machine learning

Effect of electroencephalogram-guided anaesthesia administration on 1-yr mortality: follow-up of a randomised clinical trial.

Use of Machine Learning to Develop and Evaluate Models Using Preoperative and Intraoperative Data to Identify Risks of Postoperative Complications.

Protocol for a proof-of-concept observational study evaluating the potential utility and acceptability of a telemedicine solution for the post-anesthesia care unit.

Probability of fit failure with reuse of N95 mask respirators.

Preoperative Cognitive Abnormality, Intraoperative Electroencephalogram Suppression, and Postoperative Delirium: A Mediation Analysis.

Update to 'Deep-learning model for predicting 30-day postoperative mortality' (Br J Anaesth 2019; 123: 688-95).

Association Between Preoperative Obstructive Sleep Apnea and Preoperative Positive Airway Pressure With Postoperative Intensive Care Unit Delirium.

Collaborators (2)

Joanna Abraham

Troy Wildes

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