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At Inference Analytics, we are mimicking how the human brain understands language and images to extract critical insights

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Neural Network Architecture

IANN’s deep learning based Natural Language Processing identifies information from text,  narratives, and images using patterns similar to humans

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Healthcare Corpus

IANN leverages a pre-trained healthcare auto-generated corpus and transfer learning to provide semantic meaning to healthcare terminology and images

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Inference Engine

Unlike traditional NLP IANN  functions more like
the human brain leveraging true semantic understanding of terms and images

 

IANN has been trained to assist in critical workflows for Radiology

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Radiology Solutions

Auto Impression Assistant Allows radiologists to improve productivity and the quality of radiology reporting by suggesting tailored impression for dictations and highlighting errors such as laterality and gender mismatches.  Available through Nuance and integrated directly into the Powerscribe platform.  

Auto Protocoling Assistant Automates the process of protocoling for an upcoming exam, reducing the need for manual protocoling

Follow Up Manager  Structures reports and identifies actionable follow up findings

 

Semantic Search Performs more powerful searches that are based on semantics, vs. traditional keyword searches.  Facilitates research and identification of findings, analysis of reports, uncovering disease patterns, and assistance for identifying follow ups

Revenue Manager  Identifies appropriate ICD-10 and CPT codes, helps to reduce claims rejections, streamlines FTE processes and reduces time needed to submit claims, and enhances compliance with federal billing regulations

 

Semantic Search

Inference Analytics Offers New Approach to Searches:

Standard Search A lexical search engine employing our word embedding model, and using our narrative cloud, that uses synonyms and related terminology to provide targeted reference materials

Research Search This is Semantic Search and is based on our proprietary ability to conceptualize text. This allows data searches, such as "Are there geographic variations in the rate of COVID-19 spread?". Results highlight the articles that relate to this question, without requiring specific, structured search terms

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Revenue Manager

IANN at work to support Revenue Cycle Management

IANN has been trained to work within the revenue cycle management processes

Identifies appropriate ICD-10 codes by analyzing EMR information

Facilitates  the revenue cycle process, reducing claims rejections, need for resubmission and lag time until payment

Enhances compliance with federal billing regulations

 

Readmission Risk Assistant

IANN has been trained to reduce the risk of readmission based on EMR data

Readmission of a patient within 30 days of discharge can result in penalties to the care provider

Understands narratives and unstructured information in notes to predict the risk of readmission with greater than 80% accuracy in testing performed 

Guides optimal care and planning through application of this risk prediction algorithm during hospitalization 

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