PATENT CLAIM ANALYSIS

Application Number: 16236262
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-12
Patent Classification: ["707", "736000"]

Abstract:
A rules engine that allows constructing and processing rules within a software application using protocol driven processing. A machine learning algorithm may be used to assess requested procedures that are initially rejected. The machine learning algorithm may also be saved periodically or at the time of each assessment and accessed at a later time.

Claim (Index 9):
A method for assessing whether one or more medical procedures should be approved, comprising:\n entering in a first database table a first record wherein said first record represents a first rule and wherein said first record comprises a confidence threshold number; entering in a second database table one or more records wherein each record represents a clinical criterion and wherein each record comprises a confidence value associated with the clinical criterion; receiving a selection of a first set of one or more clinical criteria; determining whether the sum of the confidence values associated with the first set of one or more clinical criteria exceed the confidence threshold number; in response to the determination of whether the sum of the confidence values associated with the first set of one or more clinical criteria exceed the confidence threshold number, receiving medical data and processing the medical data and the first set of one or more clinical criteria using a first machine learning algorithm to generate an output indicating whether a first medical procedure should be approved; displaying on a computer screen an indication of whether the procedure is approved; saving a first state of the machine learning algorithm; receiving a selection of a second set of one or more clinical criteria; determining whether the sum of the confidence values associated with the second set of one or more clinical criteria exceed the confidence threshold number; in response to the determination of whether the sum of the confidence values associated with the second set of one or more clinical criteria exceed the confidence threshold number, using the machine learning algorithm to generate an output indicating whether a second medical procedure should be approved, wherein the machine learning algorithm is converted from the first state to a second state; and after generating the output indicating whether the second medical procedure should be approved, outputting the first state of the machine learning algorithm.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 1.35714
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15275223', '14148050', '14296303', '14478454', '14147978']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1775869009558088
- 35 USC 102 Novelty (BERT): 0.4765441507410817
- Combined Prediction Score: 0.2074826259343361
- Mean Citation Score: 146.209134
- Max Citation Score: 156.2353
- Similarity Product: 104.77986595620511

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

Dataset: test