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 14):
The system as defined in  claim 12 , the operations further comprising:\n enable the medical service provider to select at least a first of the recommended programs; enable the medical service provider to select a delivery mode of the selected first recommended program; and cause the first recommended program to be delivered via a selected delivery mode.

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): 0.080596077116414
- 35 USC 102 Novelty (BERT): 0.5443635173842736
- Combined Prediction Score: 0.1269728211432
- Mean Citation Score: 180.0920748
- Max Citation Score: 383.6936
- Similarity Product: 334.07728410506246

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