METHOD AND SYSTEM FOR IDENTIFYING VOLATILITY IN MEDICAL DATA

• US 20110238439A1
• Filed: 03/25/2011
• Published: 09/29/2011
• Est. Priority Date: 03/25/2010
• Status: Abandoned Application

• Current Assignee: William H. Rice
• Original Assignee: William H. Rice
• Inventors: Rice, William H.
• Application Number:
  US13/072,627
• Publication Number:
  US 20110238439A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 70/20 relating to practices or guidelines

Abstract

A system and method for evaluating the effectiveness of a medical treatment and predicting future medical issues is provided. A digital set of biometric data comprising a plurality of biometric data points is received and stored in a digital database. The digital set of biometric data is analyzed to determine its relative volatility. The relative volatility is then evaluated to help determine the effectiveness of a medical treatment and predict future medical issues.

Claims

1. A method for evaluating the effectiveness of a medical treatment and predicting future medical issues, comprising:

receiving a digital set of biometric data comprising a plurality of biometric data points and storing said set of biometric data in a digital database;

analyzing said digital set of biometric data to determine the relative volatility of said set of biometric data points; and

evaluating said relative volatility.

2. The method of claim 1, wherein said step of evaluating said relative volatility further comprises comparing said relative volatility of said set of biometric data to the relative volatility of another set of biometric data.

3. The method of claim 1, wherein said step of evaluating said relative volatility further comprises evaluating said relative volatility against a predetermined range specific to said set of biometric data.

4. The method of claim 1, further comprising inputting a new data point into said set of biometric data and determining whether said new data point increases or decreases said relative volatility.

5. The method of claim 1, further comprising providing an alert when said relative volatility is anomalous based on predetermined criteria.

6. The method of claim 1, further comprising providing an alert when said relative volatility is anomalous based on predetermined criteria or a patient'"'"'s previous baseline, where the measure of increased volatility is a signal of a worsening clinical state.

7. The method of claim 1, further comprising providing an alert when said relative volatility is anomalous based on predetermined criteria or a patient'"'"'s previous baseline, where the measure of decreased volatility is a signal of a worsening clinical state.

8. The method of claim 1, further comprising inputting a plurality of new data points into said set of biometric data, determining the relative volatility of said set of biometric data after each new data point has been input into said set of biometric data, and providing an alert when said relative volatility is anomalous.

9. A system for evaluating the effectiveness of a medical treatment and predicting future medical issues, comprising:

a digital database for receiving and storing a digital set of biometric data comprising a plurality of biometric data points; and

a processor comprising instructions operable to analyze said digital set of biometric data to determine the relative volatility of said set of biometric data points and evaluate said relative volatility.

10. The system of claim 9, wherein said processor further comprises instructions to compare said relative volatility of said set of biometric data to the relative volatility of another set of biometric data.

11. The system of claim 9, wherein said processor further comprises instructions to evaluate said relative volatility against a predetermined range specific to said set of biometric data.

12. The system of claim 9, wherein said processor further comprises instructions to determining whether each data point increases or decreases said relative volatility.

13. The system of claim 9, wherein said processor further comprises instructions to provide an alert when said relative volatility is anomalous based on predetermined criteria.

14. The system of claim 9, wherein said processor further comprises instructions to determine the relative volatility of said set of biometric data after each data point has been input into said set of biometric data and provide an alert when said relative volatility is anomalous.

15. The system of claim 9, wherein said processor further comprises instructions to provide an alert when said relative volatility is anomalous based on predetermined criteria or a patient'"'"'s previous baseline, where the measure of increased volatility is a signal of a worsening clinical state.

16. The system of claim 9, wherein said processor further comprises instructions to provide an alert when said relative volatility is anomalous based on predetermined criteria or a patient'"'"'s previous baseline, where the measure of decreased volatility is a signal of a worsening clinical state.