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Shorter Time to Assessment and Anticoagulation with Decreased Mortality in Patients with Pulmonary Embolism Following Implementation of Artificial Intelligence Software

Year: 2024
Type: article
Abstract: Pulmonary embolism (PE) is a serious and potentially life-threatening condition. A streamlined PE workflow with timely assessment and initiation of treatment may improve a patient’s chance of survival. Artificial intelligence (AI) has been increasingly used in health care to improve clinical efficiency. In October 2022, our institution implemented an AI-powered parallel workflow tool designed to automatically detect and triage patients with suspected PE. The aim of this study was to evaluate the clinical impact of AI software on time to assessment, time to anticoagulation, and patient outcomes at our institution.
Language: English
Field: Medicine
Open Access status: gold
Estimated APC paid: $2,100
OpenAlex ID: W4394800528
FWCI: 0.751
Cites:
Cited by: 2
Related to: 10