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Emtelligent releases new apps, including AI concordance reporting at RSNA

Press releases may be edited for formatting or style | November 30, 2022 Artificial Intelligence
VANCOUVER, BC, Nov. 28, 2022 /PRNewswire/ -- emtelligent, a leader in the development of clinical-grade natural language processing (NLP) software for healthcare organizations, today announced the continued expansion of its emtelliSuite™ family of apps on the eve of RSNA 2022, the Radiological Society of North America's annual global forum being held Nov. 27 to Dec. 1 in Chicago.

The emtelliSuite collection of apps is designed to improve patient safety and care quality by unlocking hard-to-reach medical data. emtelliSuite leverages emtelligent's emtelliPro® NLP engine, a proprietary and purpose-built, enterprise-scale platform that enables actionable clinical insights from unstructured medical text.

RSNA 2022 attendees will be able to try emtelliPro and emtelliSuite apps at emtelligent's booth 4449 in the South Exhibit Hall at McCormick Place.

emtelliSuite apps and the emtelliPro medical NLP platform improve efficiency and effectiveness for care providers, researchers, and administrators. Along with its existing apps, including smart searching, report reading, patient summary tools, some of the radiology-specific apps now included in emtelliSuite are:

AI Concordance – Classifies radiologist reports as positive or negative for specific pathologies, for comparison with image analysis AI model output to quantify and track the accuracy of AI models over time

Case Auditor – Identifies case results as positive or negative for their stated indication, to track referring physician accuracy for assistance in implementing decision support and ensuring high-quality care

Critical Results Auditor – Identify cases by diagnosis where the radiologist has not included a statement of critical results communication to ensure adherence with departmental guidelines

Follow-Up Detector – Automatically flag actionable recommendations or incidental findings from within radiology reports to ensure timely adherence and follow-up

Indication Auditor – Find reports with low-quality indications to have evidence for providing feedback to referring clinicians to improve quality of care

MRI Screener – Find patients with medical devices or other conditions that may be ineligible for MRI procedures before they get to the MRI suite to prevent un-filled timeslots and ensure high equipment utilization rates

Trainee Scoreboard – Automatically tracks the number of actual diagnoses (rather than just exam counts) seen or made by a trainee to 1) improve educational outcomes and 2) ensure that knowledge "blind spots" are avoided.

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