@inproceedings{83147029bd054d1d913c1d7986d0d37d,
title = "Leveraging cognitive science and artificial intelligence to save lives",
abstract = "Medical error is the third-leading cause of death in the United States, just behind heart disease and cancer. We describe a software platform used to train healthcare workers to prevent their errors. The platform (Amplifire) harnesses artificial intelligence and principles of cognitive psychology. Amplifire{\textquoteright}s AI continuously decides whether and when to require additional learning events, provide corrective and metacognitive feedback, and/or deliver self-regulatory guidance for the learner (e.g., “slow down”). Amplifire was deployed to several thousand nurses at a large healthcare system in attempts to reduce the rate of two types of hospital-acquired infections. The result was a 48% reduction in central-line-associated bloodstream infections (CLABSI) and a 32% reduction in catheter-associated urinary-tract infections (CAUTI). These findings demonstrate the effectiveness of using cognitive science along with AI in an e-learning platform.",
keywords = "Artificial intelligence, CAUTI, CLABSI, Cognitive science, Confidence, Feedback, Healthcare, Metacognition, Training",
author = "Hays, {Matthew Jensen} and Glick, {Aaron Richard} and Lane, {H. Chad}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 20th International Conference on Artificial Intelligence in Education, AIED 2019 ; Conference date: 25-06-2019 Through 29-06-2019",
year = "2019",
doi = "10.1007/978-3-030-23207-8_71",
language = "English (US)",
isbn = "9783030232061",
series = "Lecture Notes in Artificial Intelligence",
publisher = "Springer",
pages = "386--391",
editor = "Seiji Isotani and Eva Mill{\'a}n and Amy Ogan and Bruce McLaren and Peter Hastings and Rose Luckin",
booktitle = "Artificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings",
address = "Germany",
}