Journal Article

How artificial intelligence could transform emergency department operations

Succi, Marc David, Prabhakar, Anand M., Berlyand, Yosef, Dorner, Stephen C., Raja, Ali S., Sonis, Jonathan D., Gottumukkala, Ravi V., Yun, Brian J.

2018

Overview

Artificial intelligence (AI) is the study of computer systems capable of performing tasks that traditionally require human intelligence, and machine learning (ML) is one mechanism through which an AI system can be developed by creating algorithms that modify themselves in response to patterns and make inferences when applied to new data [1-4]. Rapidly interpreting clinical data to classify patients and predict outcomes is paramount to emergency department (ED) operations, with direct impacts on cost, efficiency, and quality of care. The future of medicine is poised to harness the potential of AI to aid medical providers, and the ED stands to benefit greatly by reducing inefficiencies, streamlining processes, and improving patient care.Source of Support This research did not receive any specific grant from funding agencies in the public, commercials, or not-for-profit sectors.

• Publisher: Elsevier Inc,Elsevier Limited
• Subject: Algorithms / Artificial intelligence / Artificial Intelligence - trends / Emergency / Emergency department operations / Emergency medical care / Emergency medical services / Emergency medicine / Emergency Medicine - methods / Emergency radiology / Emergency Service, Hospital - organization & administration / Humans / Machine learning / Medical imaging / Natural language processing / Patients / Radiology / Sepsis / Triage / Triage - methods