Non intrusive, non invasive, plug-and-forget, contextually aware, dark data processing, care companion platform for care receiver management by care providers

• US 20180268935A1
• Filed: 03/11/2016
• Published: 09/20/2018
• Est. Priority Date: 03/20/2015
• Status: Abandoned Application

• Current Assignee: Magpie 360, Inc.
• Original Assignee: Magpie 360, Inc.
• Inventors: Tumkur, Ramesh, Ramasamy, Kannan
• Application Number:
  US15/067,422
• Publication Number:
  US 20180268935A1
• Time in Patent Office: Days
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 80/00 ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

The human body continually generates analog data signals depicting its real time state and well-being. Some of this data (“dark data”) goes unnoticed. The disclosed care companion platform provides a computing system for continually processing dark data. It seamlessly blends into the care receiver environment over a plug-and-forget process, becomes contextually aware of the surroundings, lock to a specific care receiver to effectively safeguard the care receiver'"'"'s health and well-being. It enables the care givers to continually ascertain overall quality of care, comfort and security of the care receiver.

Claims

1. A round the clock, virtual care center giving contextually aware care companion process that provides the quality of care experience of a care giver safeguarding the health and well-being of care receiver within the zone perimeter comprising:

(a) a wall mounted, plug-and-forget companion device that processes dark data from the human ecosystem;

(b) a plurality of sensors in the zoned perimeter making up the care receiver ecosystem locked to the companion device;

(c) seamless association and locking of the care-receiver representation sensor to the companion resource;

(d) a plurality of sensors locked to the companion representing the vital resources;

(e) a plurality of medical devices locked to the companion representing the health vitals;

(f) an intelligent transportation engine;

(g) a normalization, correlation and contextual engine part of backend platform in the cloud;

(h) an anomaly engine in the platform for alerts and ticketing;

(i) dashboards and user interfaces for feedback loop to the care-provider and care-receiver apps;

(j) mobile user interfaces for a real-time awareness of the care-giver state and well-being;

(k) providing continuous data and historical data over charts, tables and drill downs;

(l) mobile user-interfaces for alert tracking, incident handling, notifications and timelines;

(m) care provider and care receiver interaction over a user interface;

(n) notification policies, escalation policies, on-call handling, situational awareness &

timelines; and

(o) watching the watcher feature with emphasis on the care receiver and care receiver environment for proactive monitoring of the environment, care appliance and medical sensors covering environment issues impacting the health and well-being of a care receiver through an automated machine learning process.