PATENT CLAIM ANALYSIS

Application Number: 16153367
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["705", "003000"]

Abstract:
Systems and methods are disclosed that access over a network a set of codes and respective code descriptions from a first data store. Course data for courses is accessed over a network from a second data store. Code descriptions and course data are compared, and the comparison is used to generate a mapping of courses to codes. The network interface is used to access codes associated with patient records for a plurality of patients from an electronic medical record system associated with a medical service provider. Relevancy values are calculated for codes using the codes associated with patient records. The calculated relevancy values and the accessed mapping of courses to codes are used to generate a first ranked presentation of recommended courses. A course selection is detected. Using the selection, a second ranked presentation of recommended courses is generated by a learning engine with updated learning engine weights.

Claim (Index 1):
A system, comprising:\n a network interface; a computing system; nonvolatile memory that stores instructions configured to cause the computing system to:\n access a first set of nomenclature codes and respective code descriptions from at least a first data store; \n access, over a network using the network interface, course data for a first plurality of courses for medical service providers from at least a second data store; \n compare nomenclature code descriptions and course data; \n use the comparison of nomenclature code descriptions and course data to generate a mapping of courses to nomenclature codes in the first set of nomenclature codes; \n store the mapping of courses to nomenclature codes from the first set of nomenclature codes in a third data store; \n access, over a network using the network interface, nomenclature codes associated with patient records for a plurality of patients from an electronic medical record system associated with a medical service provider; \n determine with respect to the accessed patient records;\n a volume of nomenclature codes, \n a frequency of a given nomenclature code, and \n record dates of respective nomenclature codes; \n \n calculate relevancy values for respective nomenclature codes using the determined volume of nomenclature codes, frequency of the respective nomenclature code, record dates of the respective nomenclature code; \n access the stored mapping of courses to nomenclature codes; \n access a first set of preferences associated with the medical service provider; \n use the first set of preferences to generate a filtered set of courses from the first plurality of courses; \n use the calculated relevancy values, the accessed mapping of courses to nomenclature codes, and the filtered set of courses to generate a first ranked presentation of recommended courses; \n cause the first ranked presentation of recommended courses to be presented via a device display associated with the medical service provider; \n detect, via data received over a network using the network interface, a course selection of a course included in the first ranked presentation of recommended courses by the medical service provider; \n use, by a learning engine, the detected selection to update learning engine weights; \n generate a second ranked presentation of recommended courses by the medical service provider using the learning engine with the updated learning engine weights.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 97.0
- Lexical Diversity: 2.25714
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15843813', '13160150', '15295490', '15064255', '10727798']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0801644440590934
- 35 USC 102 Novelty (BERT): 0.545399320813527
- Combined Prediction Score: 0.1266879317345368
- Mean Citation Score: 180.0920748
- Max Citation Score: 383.6936
- Similarity Product: 377.8504038630962

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test