PATENT CLAIM ANALYSIS

Application Number: 16132022
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["705", "004000"]

Abstract:
An insurance management system receives, from a client device, at least one image of an insurance card associated with the user operating the client device. The insurance management system extracts features from the at least one image and generates a feature vector associated with the at least one image. A machine learning model receives the feature vector as input and outputs a classification comprising an association with an insurance plan. The insurance management system receives historical medical information that is specific to the user and indicates a current medical condition of the user and evaluates the insurance plan of the user in view of their historical medical information. Based on the evaluation, the insurance management system provides a recommendation that comprises one or more alternative insurance plans or one or more alternative pharmacies.

Claim (Index 6):
The method of  claim 1 , further comprising:\n selecting the one or more alternative insurance plans for the recommendation based on an analysis of one or more of the following: one or more benefits associated with each insurance plan, a cost associated with each insurance plan, and a savings associated with each of the one or more alternative insurance plans relative to the insurance plan of the user.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 97.0
- Lexical Diversity: 2.13636
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13667972', '11264878', '10813968', '13589758', '09812704']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1061224483650405
- 35 USC 102 Novelty (BERT): 0.4712735376855788
- Combined Prediction Score: 0.1426375572970943
- Mean Citation Score: 174.98211199999997
- Max Citation Score: 192.85268
- Similarity Product: 151.84507478218077

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