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IANN’s neural network self-directs learning, driving deeper insights from clinical notes well beyond the capability of traditional NLPs.
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Studies have proven that physician productivity increases by 20% when supported by IANN.
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IANN produces readmission predictions with greater than 80% accuracy.IANN dynamically assesses risk to enhance regulatory and contract compliance.
Clinical Notes Insights and Followup Tracking
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IANN is capable of classifying every Covid-19 journal article being published based on complete semantic content not simply key words or titles
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IANN’s deep-learning platform recommends the articles most relevant to the specific search inquiry (https://www.c19search.com/) results show much higher relevance than other search options.
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IANN’s prediction model is capable of predicting disease propagation patterns with high confidence
IANN Covid-19 Search Engine
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IANN radiology impression capabilities enable radiologists to complete cases 20% faster, reducing radiologist workload and stress
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IANN’s impression generation capabilities have reduced medical errors by 28%
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IANN’s neural network self-directs learning, enhancing knowledge and capabilities with each case review
Radiology Reports
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IANN’s neural network facilitates extraction of a patient’s clinical status from notes and translates into coded data.
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IANN translates the additional coded data into improved quality reporting, public health data and disease tracking and trending
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IANN’s neural network self-directs learning, enhancing clinical knowledge through concurrent and /or retrospective case reviews
CDI and Revenue Cycle Management
Key Impact
IANN at work in Radiology
Radiologists write as many as 1 Billion reports in the US . IANN has been trained to understand radiology reports
