PATENT CLAIM ANALYSIS

Application Number: 16430223
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-09
Patent Classification: ["705", "002000"]

Abstract:
A method and system for producing statistical analysis of medical care information comprises: aggregating medical care providers to a peer group level; aggregating medical care information at the peer group level and at the medical care provider level; computing a statistical analysis, such as performing Pearson's correlation analysis; and generating peer group level and medical care provider level results utilizing the computed statistical analysis. Also, a method for producing statistical analysis of medical care information for a medical care provider efficiency measurement comprises: applying minimum unit of analysis criteria for medical care providers to be used in statistical analysis; calculating an overall weighted average medical care information measure for each medical care provider; calculating a medical condition-specific medical care information measure for each medical care provider; removing outlier medical care providers from statistical analysis at medical care information level; calculating a statistical analysis to medical care provider efficiency measurement at each medical care information level using a statistical calculation; and selecting statistically related medical care information to identify medical care providers meeting a desired practice pattern.

Claim (Index 16):
A computer system producing statistical analysis of medical care information utilizing a medical care provider efficiency measurement comprising:\n a processor capable of executing computer instructions; a memory coupled to the processor containing computer instructions for:\n calculating an overall weighted average medical care information measure for each medical care provider in a set of medical care providers on the computer system; \n calculating a medical condition-specific medical care information measure for each medical care provider in the set of medical care providers on the computer system; and \n calculating a statistical analysis to medical care provider efficiency measurement using correlation analysis to identify indicators of an association between medical care information and medical care provider efficiency measurements on the computer system comprising:\n associating a metric for each of a plurality of sets of codes, the metrics for the plurality of sets of codes obtained from the medical care information aggregated at the medical care provider level for each of the set of medical care providers, wherein:\n each of the sets of codes in the plurality of sets of codes comprises at least one code from a group of codes consisting of procedure codes and service codes in the medical care field, and \n the metric for each of the plurality of sets of codes includes at least one of utilization and cost, \n \n associating an efficiency metric from the medical care provider efficiency measurements with each of the set of medical care providers, \n calculating a correlation value for each of the set of medical care providers between:\n the efficiency metric associated with each of the set of medical care providers and \n a metric value associated with each of the plurality of sets of codes, \n \n resulting in a correlation value indicating correlation between the metric associated with each of the plurality of sets of codes and the efficiency metrics for the set of medical care providers, and \n selecting a subset of sets of codes from the plurality of sets of codes as the indicators based on the correlation values calculated for the metric associated with each of the plurality of sets of codes, wherein the selected subset of sets of codes includes at least one set of codes from the plurality of sets of codes.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 100.0
- Lexical Diversity: 2.76812
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12473147', '13621222', '14266842', '15882844', '14269084']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1189709739009515
- 35 USC 102 Novelty (BERT): 0.5901887518863034
- Combined Prediction Score: 0.1660927516994867
- Mean Citation Score: 395.77735600000005
- Max Citation Score: 495.10297
- Similarity Product: 459.7651664406992

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

Dataset: test