PATIENT ENABLED METHODS, APPARATUS, AND SYSTEMS FOR EARLY HEALTH AND PREVENTIVE CARE USING WEARABLE SENSORS

• US 20120165617A1
• Filed: 12/28/2010
• Published: 06/28/2012
• Est. Priority Date: 12/28/2010
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Vesto, Guy Robert, Alden, Rhett
• Application Number:
  US12/979,603
• Publication Number:
  US 20120165617A1
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• 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

Abstract

Certain examples provide systems, methods, and apparatus for patient-enabled early health and prevention. An example patient preventive health system includes a monitoring application interface to receive data from one or more sensors positioned with respect to a patient. The system includes a sensor data processor to process the received data from the one or more sensors to identify one or more readings based on the received data. The system includes an event analyzer to process the one or more readings to generate an event output. The system includes a patient notifier to notify the patient based on the event output. The system includes a biomarker transmitter to identify and transmit a biomarker to a clinical research cloud based on the one or more readings.

Claims

1. A patient preventive health system comprising:

a monitoring application interface to receive data from one or more sensors positioned with respect to a patient;

a sensor data processor to process the received data from the one or more sensors to identify one or more readings based on the received data;

an event analyzer to process the one or more readings to generate an event output;

a patient notifier to notify the patient based on the event output; and

a biomarker transmitter to identify and transmit a biomarker to a clinical research cloud based on the one or more readings.

2. The system of claim 1, further comprising one or more sensors to be positioned with respect to the patient to gather data from the patient and relay the data to a mobile receiver to be provided to the monitoring application interface.

3. The system of claim 1, wherein the sensor data processor is to process the received data according to one or more terminology mappings.

4. The system of claim 1, further comprising one or more adapters to format the received data to be processed by the sensor data processor.

5. The system of claim 1, further comprising one or more filters to identify one or more abnormal readings in the one or more readings processed by the sensor data processor.

6. The system of claim 1, further comprising an anonymizer to anonymize the biomarker for transmission to the clinical research cloud.

7. The system of claim 1, further comprising preventive analytics to analyze the biomarker to predict at least one of a disease and a condition to which the patient may be predisposed.

8. The system of claim 1, further comprising a knowledge base to receive and store information from the clinical research cloud.

9. The system of claim 1, wherein one or more of the monitoring application interface, the sensor data processor, the event analyzer, the patient notifier, and the biomarker transmitter is to be implemented as a platform as a service.

10. The system of claim 1, further comprising one or more patient-facing software as a service applications to be provided via a monitoring application store.

11. The system of claim 1, further comprising a scheduler to schedule an intervention with a clinician based on at least one of the event output and the biomarker.

12. A tangible computer readable storage medium including executable program instructions which, when executed by a computer processor, cause the computer to implement patient preventive health system comprising:

a monitoring application interface to receive data from one or more sensors positioned with respect to a patient;

a sensor data processor to process the received data from the one or more sensors to identify one or more readings based on the received data;

an event analyzer to process the one or more readings to generate an event output;

a patient notifier to notify the patient based on the event output; and

a biomarker transmitter to identify and transmit a biomarker to a clinical research cloud based on the one or more readings.

13. The computer readable storage medium of claim 12, wherein the sensor data processor is to process the received data according to one or more terminology mappings.

14. The computer readable storage medium of claim 12, further comprising one or more filters to identify one or more abnormal readings in the one or more readings processed by the sensor data processor.

15. The computer readable medium of claim 12, further comprising preventive analytics to analyze the biomarker to predict at least one of a disease and a condition to which the patient may be predisposed.

16. The computer readable medium of claim 12, further comprising a knowledge base to receive and store information from the clinical research cloud.

17. The computer readable medium of claim 12, wherein one or more of the monitoring application interface, the sensor data processor, the event analyzer, the patient notifier, and the biomarker transmitter is to be implemented as a platform as a service.

18. The computer readable medium of claim 12, further comprising one or more patient-facing software as a service applications to be provided via a monitoring application store.

19. The computer readable medium of claim 12, further comprising a scheduler to schedule an intervention with a clinician based on at least one of the event output and the biomarker.

20. A computer-implemented method for providing patient-enabled early health and preventive care, the method comprising:

suggesting, based on patient predisposal information related to at least one of a disease and a medical condition, a prevention plan for the patient;

receiving, from one or more sensors positioned with respect to the patient, data related to patient health status;

adjusting the prevention plan for the patient based on received data from the one or more sensors;

applying one or more filters to the received data to identify one or more abnormal sensor readings; and

providing, based on review and consent by the patient, data regarding the one or more abnormal sensor readings to a clinical data aggregation and predictive analytics for further processing.

21. The method of claim 20, further comprising receiving information from the patient regarding patient predisposition to the at least one of a disease and a medical condition.

22. The method of claim 20, further comprising notifying the patient of discoveries relevant to the patient'"'"'s abnormal sensor readings obtained from the clinical data aggregation and predictive analytics.

23. The method of claim 20, further comprising updating information sent to the clinical data aggregation and predictive analytics based on an invention taken by a healthcare practitioner.