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290 results about "Speech analytics" patented technology

Speech analytics is the process of analyzing recorded calls to gather customer information to improve communication and future interaction. The process is primarily used by customer contact centers to extract information buried in client interactions with an enterprise. Although speech analytics includes elements of automatic speech recognition, it is known for analyzing the topic being discussed, which is weighed against the emotional character of the speech and the amount and locations of speech versus non-speech during the interaction. Speech analytics in contact centers can be used to mine recorded customer interactions to surface the intelligence essential for building effective cost containment and customer service strategies. The technology can pinpoint cost drivers, trend analysis, identify strengths and weaknesses with processes and products, and help understand how the marketplace perceives offerings.

Multi-attribute drug comparison

A computer-implemented apparatus or method, or a software product, for generating a composite quantitative comparison of drug products based on multiple attributes of them. A set of name-attribute similarity scores are generated based on similarities among the names of selected target and reference drugs. A set of product-attribute similarity scores are generated based on similarities among product attributes of the selected target and reference drugs. A target drug confusability score is generated based on the confusability of the target drug as compared to a population of other drugs. The composite quantitative comparison is generated based on a composite of the name-attribute and product-attribute similarity scores, and the target confusability score. A set of one or more severity of confusion scores may also be included in the composite quantitative comparison. These scores are based on one or more indicators of the severity of the consequences to a patient of confusing the target and reference drugs so that, for example, the wrong drug is administered to the patient, or the correct drug is incorrectly administered. The name-attribute similarity scores may be generated based on orthographic, phonetic, and/or phonological analysis. The product-attribute similarity scores may be generated based on the drugs'strengths, indications, dosages, administration routes, manufacturers, pharmacological categories, storage requirements, colors, shapes, legal standing, trademark description, and/or other attributes. The composite quantitative comparison may include severity-weighted similarity scores or both similarity scores and severity of confusion scores. The severity of confusion indicators may include a therapeutic index and/or a contraindication index.
Owner:THE BOARD OF TRUSTEES OF THE UNIV OF ILLINOIS
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