MEDICAL CONDITION TRACKING AND ANALYSIS

• US 20150112722A1
• Filed: 10/21/2014
• Published: 04/23/2015
• Est. Priority Date: 10/21/2013
• Status: Abandoned Application

• Current Assignee: Osia Medical, Inc.
• Original Assignee: Osia Medical, Inc.
• Inventors: Dees, Joshua, Hendershot, Richard, Reynolds, Rob
• Application Number:
  US14/520,085
• Publication Number:
  US 20150112722A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: A61B 2505/07 Home care
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7465 Arrangements for interactive communication between patient and care services, e.g. by using a telephone network telemetry of measured physiological signal A61B5/0002
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof

Abstract

An apparatus, system, and method are disclosed for medical tracking and analysis. A data module receives subjective and objective data associated with a medical condition for a patient. A trend module determines a trend for the medical condition associated with the patient over a period of time based on the subjective and objective data. A factor module identifies one or more factors that affect the medical condition and calculates one or more weighted values for the one or more factors based on the trend.

Claims

1. An apparatus for tracking a medical condition, the apparatus comprising:

a data module that receives subjective and objective data associated with a medical condition for a patient;

a trend module that determines a trend for the medical condition associated with the patient over a period of time based on the subjective and objective data; and

a factor module that identifies one or more factors that affect the medical condition, wherein one or more weighted values are calculated for the one or more factors based on the trend;

wherein at least a portion of the data module, the trend module, and the factor module comprise one or more of hardware and executable code, the executable code stored on one or more computer readable storage media.

2. The apparatus of claim 1, wherein the trend module updates the trend for the medical condition associated with the patient in real-time in response to receiving one or more of subjective and objective data.

3. The apparatus of claim 1, wherein the factor module determines the one or more weighted values by correlating one or more data points of the subjective data with one or more data points of the objective data.

4. The apparatus of claim 1, further comprising a recommendation module that generates one or more recommendations related to the medical condition based on the weighted values of the one or more factors.

5. The apparatus of claim 1, further comprising a prediction module that forecasts a state of the medical condition at a future point in time based on the one or more factors and forecasted objective data.

6. The apparatus of claim 1, further comprising a report module that generates one or more reports for the patient based on a state of the patient'"'"'s medical condition, the one or more reports being accessible to a client device associated with the patient'"'"'s doctor.

7. The apparatus of claim 1, further comprising a messaging module that generates one or more messages for a patient, the one or more messages being sent in response to input received from the patient'"'"'s doctor.

8. The apparatus of claim 1, wherein the factor module identifies the one or more factors based on one or more outlier data points of the determined trend, the outlier data points indicating one or more abnormalities associated with a state of the patient'"'"'s medical condition.

9. The apparatus of claim 1, wherein the subjective data comprises qualitative feedback provided by the patient and related to the medical condition, the patient feedback being received from a client device associated with the patient.

10. The apparatus of claim 1, wherein the subjective data comprises event data received from a client device associated with the patient, the event data comprising a self-reported measurement of the medical condition associated with the patient at a point in time.

11. The apparatus of claim 1, wherein the objective data comprises environmental data, the environmental data being received from one or more remote servers storing the environmental data.

12. The apparatus of claim 11, wherein the environmental data comprises one or more of weather data, air quality data, pollen data, pollution data, ozone data, pressure data, and particulate matter data.

13. The apparatus of claim 1, wherein the objective data comprises data reported by the patient, the data comprising one or more quantifiable factors associated with the medical condition.

14. A system for tracking a medical condition, the system comprising:

a client device associated with a patient;

a client device associated with a doctor for the patient; and

a remote server communicatively coupled to the client device associated with a patient and the client device associated with the doctor for the patient, the remote server comprising;

a data module that receives subjective and objective data associated with a medical condition for a patient;

a trend module that determines a trend for the medical condition associated with the patient over a period of time based on the subjective and objective data; and

a factor module that identifies one or more factors that affect the medical condition, wherein one or more weighted values are calculated for the one or more factors based on the trend;

wherein at least a portion of the data module, the trend module, and the factor module comprise one or more of hardware and executable code, the executable code stored on one or more computer readable storage media of the remote server.

15. The system of claim 14, wherein the trend module performs one or more statistical analyses on the subjective and objective data on the remote server, the trend being generated as a function of one or more of the statistical analyses.

16. The system of claim 15, further comprising a report module that sends the results of the one or more statistical analyses to the client device associated with the doctor of the patient.

17. The system of claim 16, wherein the report module presents the results of the one or more statistical analyses on a graphical interface for the client device associated with the doctor of the patient.

18. The system of claim 14, wherein the objective data is received from one or more external data sources comprising one or more remote servers storing environmental data, the environmental data associated with the patient'"'"'s medical condition.

19. A method for tracking a medical condition, the method comprising:

receiving, by a processor, subjective and objective data associated with a medical condition for a patient;

determining a trend for the medical condition associated with the patient over a period of time based on the subjective and objective data; and

identifying one or more factors that affect the medical condition, wherein one or more weighted values are calculated for the one or more factors based on the trend.

20. The method of claim 19, further comprising forecasting a state of the medical condition at a future point in time based on the one or more factors and forecasted objective data.