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Improving Communication of Positive PE Alerts with AI at University of Washington

Aidoc

Sahani, Chair of Radiology at University of Washington Medicine, explains how clinical teams leverage Aidoc AI to both flag suspected positive cases of PE and communicate them, once confirmed by a radiologist, to the entire PE response team to drive better collaboration and reduce time to treatment.

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Improving Communication of Positive PE Alerts with AI at University of Washington Medicine

Aidoc

Sahani, Chair of Radiology at University of Washington Medicine, explains how the clinical teams leverage Aidoc AI to both flag suspected positive cases of PE and communicate them, once confirmed by a radiologist, to the entire PE response team to drive better collaboration on and reduce time to treatment.

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Coding for enhanced interventional radiology reimbursement

AuntMinnie

Webinars are frequently made available by both credentialing organizations mentioned. One solution is to consider reporting through a Quality Clinical Data Registry (QCDR) such as the one maintained by the American College of Radiology (ACR). CM stands for the Clinical Modification of the classification system.

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AI in Healthcare: The Ultimate Guide

Aidoc

Healthcare AI vs. Clinical AI The terms “healthcare AI” and “clinical AI” might seem interchangeable, but there’s a key distinction. Clinical AI, on the other hand, focuses on a specific part of the system: patient care. Imagine healthcare as a large system with many moving parts.