PATENT CLAIM ANALYSIS

Application Number: 16190851
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["705", "004000"]

Abstract:
Systems and methods are discussed for providing sensor enhanced safety, recovery, and activity evaluation systems. Sensors that monitor user activity and behavior are worn by a user and/or placed in the user environment. Data from the sensors are processed to obtain a safety, recovery, and/or activity evaluation. Based on the evaluation, recommendations or adjustments to the terms of an insurance policy covering the user, the user's employer, or a facility providing health care to the user to accurately reflect the risks associated with the user, employer, and/or facility. In embodiments, an alert may be generated when a failure to conform with activity guidelines is detected.

Claim (Index 2):
The system of  claim 1 , wherein the computer hardware server is further configured to:\n generate, based at least in part on the activity evaluation, data indicative of a risk management recommendation comprising a loss-control recommendation for one or both of the covered entity and a healthcare provider; and output, by a communications system, an electronic communication having the data indicative of the risk management recommendation to one or both of the covered entity and the healthcare provider.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 98.0
- Lexical Diversity: 1.77941
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15018438', '14143941', '15393659', '12793350', '14860296']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1173152582014285
- 35 USC 102 Novelty (BERT): 0.5538321115993263
- Combined Prediction Score: 0.1609669435412183
- Mean Citation Score: 341.52365999999995
- Max Citation Score: 439.5074
- Similarity Product: 300.81160582996614

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