PATENT CLAIM ANALYSIS

Application Number: 16252331
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-07
Patent Classification: ["705", "004000"]

Abstract:
Electronically generated information for facilitating the efficient and effective authorization of a medical procedure, treatment or medicine are provided. The information is specific to a patient's insurance company, medical need and diagnosis. An electronic Database has been configured for analysis by a user such that inputs to the Database result in outputs considered necessary in a preparation and submission for authorization of the medical procedure, treatment or medicine.

Claim (Index 11):
A method performed by a computing device having a software-based search engine and electronic database, the method comprising: receiving, by a computer and via the software-based search engine and from a computer operated by a user, a request for reimbursement from an insurance company for a medical procedure, the request including a patient, an insurance company, and a medical procedure; searching, by the computing device and via the software-based search engine, the electronic database; identifying, by the software-based search engine one or more outputs required for reimbursement from the insurance company; and using the one or more outputs by the user to populate a letter of medical necessity to the insurance company.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 99.0
- Lexical Diversity: 1.5
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11447627', '15275223', '09910190', '12115446', '11928690']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1146018335465355
- 35 USC 102 Novelty (BERT): 0.4685361336231864
- Combined Prediction Score: 0.1499952635542006
- Mean Citation Score: 196.96812
- Max Citation Score: 209.05173
- Similarity Product: 176.62606472545266

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test