SYSTEM AND METHOD FOR HEART FAILURE PREDICTION

• US 20110119078A1
• Filed: 11/20/2009
• Published: 05/19/2011
• Est. Priority Date: 12/30/2008
• Status: Abandoned Application

• Current Assignee: Momentum Research, Inc. (Univision Holdings, Inc.)
• Original Assignee: Momentum Research, Inc. (Univision Holdings, Inc.)
• Inventors: Weatherley, Beth Davison, Cotter, Gadi
• Application Number:
  US12/937,877
• Publication Number:
  US 20110119078A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• 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: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 40/60 for the operation of medical equipment or devices
• 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

Abstract

A method for monitoring a health status of a human subject includes the capturing of medical data concerning the health of the subject at defined intervals using a questionnaire. The questionnaire provides a standard script for data capture. Part of the captured data is constrained to a Likert scale while other data is on a visual analog scale. The captured data further includes an assessment by a physician of health symptoms of the subject. The captured data is input into a computer, provided to an algorithm that is configured to assess a risk of acute heart failure. The risk of acute heart failure is computed using the algorithm and the captured data from a plurality of the defined intervals. In one method, the health status of the subject as being either improved or worsening is output to the physician as a function of a value of the computed risk. In another method, a survival function outcome for the subject is predicted using the output of the algorithm.

Claims

1. A method for monitoring a health status of a human subject, comprising the steps of:

capturing medical data concerning the health of the subject at defined intervals using a questionnaire, wherein the questionnaire provides a standard script for data capture, wherein a first part of the questionnaire has a first portion of the captured data on a Likert scale and a second portion on a visual analog scale, and wherein a second part of the questionnaire has the captured data in the form of an assessment by a physician of health symptoms of the subject;

inputting the captured data into a computer;

providing the captured data to an algorithm configured to assess a risk of acute heart failure;

computing the risk of acute heart failure by executing the algorithm in the computer using the captured data input from a plurality of the defined intervals; and

outputting to the physician the health status as being either improved or worsening as a function of a value of the computed risk.

2. The method of claim 1, wherein the intervals are spaced by unequal amounts of time.

3. The method of claim 2, wherein the first interval is about six hours from a first data capture, a second interval is about 6 hrs from the first interval, a third interval is about twelve hours the second interval, a fourth interval is about twenty-four hours from the third interval, and wherein a plurality of successive intervals are twenty-four hours apart.

4. The method of claim 1, wherein the standard script causes a sequential capture of medical data.

5. The method of claim 1, wherein the capturing and inputting steps are performed concurrently through an electronic data form at or after each defined interval.

6. A method of predicting a survival function outcome of a human subject, comprising the steps of:

capturing medical data concerning the health of the subject at defined intervals using a questionnaire, wherein the questionnaire provides a standard script for data capture, wherein a first part of the questionnaire has a first portion of the captured data on a Likert scale and a second portion on a visual analog scale, and wherein a second part of the questionnaire has the captured data in the form of an assessment by a physician of health symptoms of the subject;

inputting the captured data into a computer;

providing the captured data to an algorithm configured to assess a risk of acute heart failure;

computing the risk of acute heart failure by executing the algorithm in the computer using the captured data input from a plurality of the defined intervals; and

predicting the survival function outcome for the subject using the output of the algorithm.

7. The method of claim 6, wherein the intervals are spaced by unequal amounts of time.

8. The method of claim 7, wherein the first interval is about six hours from a first data capture, a second interval is about 6 hrs from the first interval, a third interval is about twelve hours the second interval, a fourth interval is about twenty-four hours from the third interval, and wherein a plurality of successive intervals are twenty-four hours apart.

9. The method of claim 6, wherein the standard script causes a sequential capture of medical data.

10. The method of claim 6, wherein the capturing and inputting steps are performed concurrently through an electronic data form at or after each defined interval.