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US 2024/0177859 A1Published application
Machine Learning Recommender System for Educational Clinical Content
AssigneeBBLHD Ltd
InventorSonia Szamocki
Life of this patent
Estimating the term…
Abstract
A machine learning educational content recommender system that provides educational clinical content is disclosed. An educational content recommender system may receive input about a specific case and about a specific clinician. Using this data, the educational content recommender system may recommend educational clinical content for the specific clinician to use for a specific case. Feedback from the specific clinician may be used to train the educational content recommender system. This feedback may include either or both explicit and implicit feedback items.
Claims24
A method comprising:
- storing a plurality of educational clinical content items in a database, each of the plurality of educational clinical content items used by a clinician to provide a clinical treatment to a patient;
- receiving patient information about a specific patient;
- receiving clinician information about a specific clinician;
- inputting the patient information and the clinician information into a natural language processor to produce one or more keywords, wherein the one or more keywords depend on the patient information and the clinician information;
- inputting the one or more keywords into a machine learning system that selects an educational clinical content item from the plurality of educational clinical content items based on the one or more keywords;
- and
- outputting the educational clinical content item to a user through a user interface.
4 more elements
A system comprising:
- a storage medium storing a plurality of educational clinical content items in a database, each of the plurality of educational clinical content items used by a clinician to provide a clinical treatment to a patient;
- and
- a processor electrically coupled with the storage medium, the processor:
- receives patient information about a specific patient;
- receives clinician information about a specific clinician;
- executes a natural language function that inputs the patient information and the clinician information and produces one or more keywords, wherein the one or more keywords depend on the patient information and the clinician information;
- executes a machine learning function that selects an educational clinical content item from the plurality of educational clinical content items stored in the storage medium based on the one or more keywords from the one or more keywords;
- and
- outputs the educational clinical content item to a user through a user interface.
6 more elements
Dependencies are inferred from the claim text.