PATENT CLAIM ANALYSIS

Application Number: 15967772
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["340", "539120"]

Abstract:
Systems and methods for managing machine-generated medical alerts associated with physiological events detected from one or more patients are described herein. An alert management system may receive medical events detected from a patient and physiological data associated with patient historical medical alerts. The system comprises an alert prioritizer circuit to generate an event priority indicator for the detected medical event, using a comparison between the detected medical event and the physiological data associated with patient historical medical alerts. The system can identify prolific alert patients using the information about the historical medical alerts. The alert prioritizer circuit can adjust a priority of the detected medical event, and an output circuit can present a priority to a user or a process using the event priority indicator and the identification of prolific alert patient.

Claim (Index 11):
A non-transitory machine-readable storage medium, comprising a plurality of instructions that, responsive to being executed with processor circuitry of a computing device, cause the computing device to:\n receive a medical event detected from a patient and information of historical medical alerts associated with the patient; generate an event priority indicator for the detected medical event using the detected medical event and the information of historical medical alerts; and adjust a priority of the detected medical event using the event priority indicator.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 93.0
- Lexical Diversity: 2.35593
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15473190', '13539802', '11835812', '14178078', '15335873']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6449924059151878
- 35 USC 102 Novelty (BERT): 0.504748968883637
- Combined Prediction Score: 0.6309680622120327
- Mean Citation Score: 206.026734
- Max Citation Score: 241.59601
- Similarity Product: 173.01324783122837

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