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 1):
A method for remote monitoring of a patient, comprising:\n a. obtaining a sensor data from one or more sensors attached to the patient's body; b. transmitting the sensor data to a first mobile computing device, wherein the sensor data is transmitted to the mobile computing device through a wired or a short range wireless communication network; c. transmitting the sensor data to a processing, analytics and storage (PAS) unit, wherein the first mobile computing device transmits the data to the PAS unit through a wireless communication network; d. detecting one or more abnormalities in the sensor data, wherein said one or more abnormalities is determined by periodic assessment of the sensor data in the first mobile computing device, the PAS unit or a combination thereof; e. determining a quantized severity for the one or more abnormalities in the PAS unit, wherein said determining comprise converting raw sensor values to a series of clinically relevant severity symbols; f. identifying the one or more abnormality to exceed a personalized severity threshold over the assessment period, wherein the severity threshold for the patient is determined from 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; g. sending a notification of the one or more abnormality to the first mobile computing device; and h. sending a notification of the one or more abnormality to a second mobile computing device, wherein the second mobile computing device is connected to a Health Service Provider (HSP) and said notification 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): 0.6096836569134566
- 35 USC 102 Novelty (BERT): 0.4948142351865998
- Combined Prediction Score: 0.598196714740771
- Mean Citation Score: 146.172798
- Max Citation Score: 170.79778000000005
- Similarity Product: 119.21574314466956

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