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US 2019/0171714 A1Published application
Artificial Intelligence Quality Measures Data Extractor
AssigneeSafermed, LLC d/b/a SaferMD, LLC
InventorsBrian Gale, Ted Sabety
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Abstract
The claimed invention uses a combination of Natural Language Processing and Machine Learning as an automated data extractor to automatically extract features from unstructured medical reports in order to ensure compliance with QPP measures by using the extracted features to calculate service quality levels.
Claims24
A system for determining data representing a diagnosis from a medical report text data object comprising:
- A module adapted by logic to embody a neural network adapted to receive as input the medical report data object and identify a predetermined feature alphanumeric text string by using a predetermined parameter set to initialize the neural network;
- a module configured by logic to populate a data record associated with the medical report with the identified feature alphanumeric text string and to store the data record in a database.
A method for determining data representing a diagnosis from a medical report text data object comprising:
- initializing a neural network using a predetermined parameter stack;
- receiving at the input layer of the neural network data representing the medical report data object;
- using the neural network to identify at least one predetermined feature alphanumeric text string;
- populating a data record associated with the medical report with the at least one identified feature alphanumeric text string;
- and
- storing the data record in a database.
3 more elements
Dependencies are inferred from the claim text.