PATENT CLAIM ANALYSIS

Application Number: 15967411
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-03
Patent Classification: ["705", "007390"]

Abstract:
Embodiments are directed towards identifying and decreasing operational pain and increasing system efficiency through health monitoring and management. This may be accomplished through measuring, monitoring, reducing meaningful incident behavior across an organization and using it to inform necessary changes in the organizational operations to improve efficiency, or the like. Ergonomic data or metrics collected by a resource management engine may be used to intelligently inform management decisions to increase human well-being across the organization's workforce to optimize overall system performance. Accordingly, resource management engines may identify areas in organizations that need improvement or repair. In some embodiments, resource management engines may be arranged to participate in a continuous feedback loop that may provide continuous overall system optimization.

Claim (Index 9):
A system for managing operations over a network, comprising:\n a network computer, comprising:\n a transceiver that communicates over the network; \n a memory that stores at least instructions; and \n one or more processors that execute instructions that perform actions, including:\n instantiating one or more resource management engines to perform actions, including:\n employing instantiation of a normalization engine to convert a format of each of a plurality of notification events, provided by one or more sources, into a unified common event format; \n employing instantiation of a cluster engine to generate one or more clusters of the plurality of converted notification events based on one or more characteristics of the converted notification events, wherein the one or more clusters of converted notification events are employed to determine one or more interrupt events that require one or more responders to suspend a current activity to timely determine one or more responses to the one or more interrupt events; \n determining one or more sub-scores in real time based on one or more metrics being provided as input to one or more provided sub-score models, wherein the one or more metrics are associated with the one or more interrupt events that are resolved or unresolved by the one or more responses; and \n providing an operations score that is associated with a probability of an occurrence of one or more adverse outcomes based on the one or more sub-scores being provided as input to an operations model; and \n \n instantiating an analysis engine to perform actions, including:\n comparing the operations score to one or more other operations scores, wherein the comparison of operations scores reduces an amount of computing resources required to predict in real time the one or more adverse outcomes; and \n updating one or more coefficients of the one or more sub-score models when a result of the comparison exceeds a threshold; and \n recommending one or more actions to decrease the probability of the occurrence of the one or more adverse outcomes based on the comparison, wherein the one or more actions are provided in a report to a user; and \n \n \n one or more other network computers, comprising:\n another transceiver that communicates over the network; \n another memory that stores at least instructions; and \n one or more processors that execute instructions that perform actions, including:\n providing one or more portions of the plurality of notification events.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 91.0
- Lexical Diversity: 1.58025
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15702689', '15181119', '14881366', '15254996', '15443961']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1060935073235945
- 35 USC 102 Novelty (BERT): 0.4699969179264069
- Combined Prediction Score: 0.1424838483838757
- Mean Citation Score: 185.022848
- Max Citation Score: 203.86394
- Similarity Product: 168.3157249054849

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

Dataset: test