PATENT CLAIM ANALYSIS

Application Number: 16213603
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-06
Patent Classification: ["235", "385000"]

Abstract:
A computer implemented method of lab management, including providing machine information on a service tag for a machine, the machine information suitable for uniquely identifying the machine, and storing auxiliary information about the machine on at least one of one or more remote devices, the at least one of the one or more remote devices configured to scan the service tag to retrieve machine information therefrom, and to integrate the auxiliary information with the machine information on the service tag.

Claim (Index 10):
The computer implemented method of  claim 1 , and further comprising:\n health tracking of the machine, wherein health tracking comprises:\n synchronizing machine data across a network of connected devices including at least a service tag on the machine, a remote computing device, and a remote server, wherein synchronizing comprises:\n combining machine information from the service tag, the remote computing device, and the remote server; \n updating the machine information across the remote computing device and the remote server; and \n updating the machine information to a latest iteration for any remote computing device accessing the machine via the service tag.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 2.15
- Patent Class: 235.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13573215', '15716868', '14018880', '15711459', '16211874']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5009634517023134
- 35 USC 102 Novelty (BERT): 0.4702227089517993
- Combined Prediction Score: 0.497889377427262
- Mean Citation Score: 136.224918
- Max Citation Score: 142.49431
- Similarity Product: 96.97738743775726

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