PATENT CLAIM ANALYSIS

Application Number: 16103159
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["340", "870020"]

Abstract:
A remote health monitoring system, method and device is disclosed. The systems utilize one or more sensors, data aggregation and transmission units, mobile computing devices, processing, analytics and storage (PAS) units, and a framework based on a novel location- and power-aware communication systems and analytics to notify and manage patient health. Methods to transmit data to a PAS unit through the patients' smart phone that is connected to internet, abnormality detection in the data, advanced analytical diagnostics and communication system between the health service provider (HSP) and patient are also provided. The health monitoring systems, methods and devices allows for continuous monitoring of the patient without disrupting their normal lives, provides access even in sparsely connected and remote regions which lack good healthcare facilities, allows intervention by specialized practitioners, and sharing of resource or information in the existing healthcare facilities.

Claim (Index 19):
A system for use in remote monitoring of a patient, comprising:\n a. at least one sensor attached to the patient's body to obtain sensor data; b. a data aggregation and transmission unit, wherein the data aggregation and transmission unit is interfaced with the at least one sensor to receive the sensor data; c. a first mobile computing device, wherein the first mobile computing device is configured to receive and transmit the sensor data through a wireless communication network; d. at least one processing, analytics and storage (PAS) unit, wherein the PAS unit is configured to receive the sensor data from the first mobile computing device, wherein the first mobile computing device, the PAS unit, or a combination thereof is configured to detect one or more abnormality in the sensor data over an assessment period, quantize a severity and identify if quantized severity exceeds a personalized severity threshold over the assessment period for the patient based on sensor data, inter-sensor correlation, patient's historical data, doctor's inputs, inter-patient machine learning models obtained from hospital information system (HIS), or a combination thereof; and e. a second mobile computing device, wherein the second mobile computing device is connected to a Health Service Provider (HSP), wherein the system is configured to notify the first and the second mobile computing devices when the quantized severity exceeds the severity threshold and includes an estimate of time available to the HSP for effective intervention.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 1.65979
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14141706', '12036285', '14088950', '13094443', '13692364']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6073626545462767
- 35 USC 102 Novelty (BERT): 0.5041226491779136
- Combined Prediction Score: 0.5970386540094405
- Mean Citation Score: 146.172798
- Max Citation Score: 170.79778000000005
- Similarity Product: 109.0400545551837

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