PATENT CLAIM ANALYSIS

Application Number: 15879325
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-01
Patent Classification: ["709", "201000"]

Abstract:
Some of the embodiments herein provide a seamless cloud of storage. This storage may be content-addressable storage. An end application may or may not be exposed to the fact that content-addressable storage is used. Various embodiments herein provide event notification, which may allow applications or users to subscribe to particular events (such as storage of an X-ray by a particular entity). Some embodiments provide for a shared archive. A shared archive may provide homogeneous access to medical data, etc. that was previously stored into the CAS cloud by heterogeneous applications, varied data types, etc. Additionally, embodiments herein allow for the creation and distribution of virtual packages. For example, a user may create a virtual package for all images related to a patient so that she may have a virtual package of all of her medical data to present to a referring physician.

Claim (Index 18):
The non-transient computer-readable medium of  claim 17 , wherein said method further comprises, upon performance of the action associated with the event of the particular event type, propagating data related to the action through the content-addressable storage cloud.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 1.89286
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13092229', '13092243', '13092253', '12605036', '12751850']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3226984455845602
- 35 USC 102 Novelty (BERT): 0.5399856436344573
- Combined Prediction Score: 0.3444271653895499
- Mean Citation Score: 271.077664
- Max Citation Score: 392.59042
- Similarity Product: 389.0368169253279

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