PATENT CLAIM ANALYSIS

Application Number: 15995657
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["340", "573100"]

Abstract:
Real time vehicle occupant emergency health data systems and methods that link a vehicle subsystem, a cloud subsystem, and a public health profile subsystem such that, in a triggering vehicle emergency event or the like, the health status of a previously-identified or unidentified vehicle occupant is captured in real time by an on-board camera and/or other sensor. This vehicle occupant identification and health status information are variously transmitted to the cloud, where the vehicle occupant identification is coupled with available public health profile information, in the case of a previously-identified vehicle occupant. Subsequently, the health status information and public health profile information are transmitted to an emergency responder or the like, thereby aiding in rendering medical assistance to an injured or sick vehicle occupant. The systems and methods of the present disclosure may also provide data analytics information that may be used later to improve vehicle safety.

Claim (Index 10):
The system of  claim 9 , wherein a communication link couples one or more of the cloud subsystem and the public health profile data association subsystem directly or indirectly to an emergency responder or other third party.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 94.0
- Lexical Diversity: 2.17808
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14253376', '14253406', '11769346', '14252978', '14253330']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7037916343021436
- 35 USC 102 Novelty (BERT): 0.513643736371738
- Combined Prediction Score: 0.6847768445091031
- Mean Citation Score: 191.058406
- Max Citation Score: 212.31012
- Similarity Product: 124.5469387344718

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

Dataset: test