System and method for assessing medical risk

• US 5,492,117 A
• Filed: 05/09/1994
• Issued: 02/20/1996
• Est. Priority Date: 05/26/1993
• Status: Expired due to Fees

• Current Assignee: Base Ten Systems, Inc. (CommScope Holding Company, Inc.)
• Original Assignee: Base Ten Systems, Inc. (CommScope Holding Company, Inc.)
• Inventors: Eisenberg, Alan J., Adelson, Alexander
• Primary Examiner(s): Sykes, Angela D.
• Assistant Examiner(s): GILBERT, SAMUEL G
• Application Number:
  US08/239,811
• Time in Patent Office: 652 Days
• Field of Search: 128/630, 128/897, 128/898, 395/924, 364/413.01, 364/413.02, 364/413.07-413.09, 364/413.1, 364/413.11
• US Class Current: 600/300
• 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
• 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 system and method for assessing the medical risk of a given outcome for a patient comprises obtaining test data from a given patient corresponding to at least one test marker for predicting the medical risk of a given outcome and obtaining at least one variable relating to the given patient and transforming the test data with the variable to produce transformed data for each test markers. A database of transformed data from previously assessed patients is provided and mean and standard deviation values are determined from the database in accordance with the actual occurrence of the given outcome for previously assessed patients. The transformed data is compared with the mean and standard deviation values to assess the likelihood of the given outcome for the given patient and the database is updated with the actual occurrence for the given patient, whereby the determined mean and standard deviation will be adjusted.

Claims

1. A system for assessing a medical risk of a given outcome for a patient, the system comprising:

data input means receptive of test data from a given patient corresponding to at least one test marker for predicting the medical risk of a given outcome and at least one variable relating to the given patient;

means for transforming the test data with the variable to produce transformed data for each test marker;

means storing a database of transformed data from other medical risk assessment systems for previously assessed patients;

means for determining mean and standard deviation values from the database in accordance with an actual occurrence of the given outcome for previously assessed patients;

means for comparing the transformed data with the mean and standard deviation values to assess a likelihood of the given outcome for the given patient; and

means for locally updating the database of said system with the actual occurrence for the given patient;

wherein the means for determining mean and standard deviation values includes means for locally adjusting determined mean and standard deviation values of said system for the locally updated database, whereby adjusted mean and standard deviation values for said system are adjusted for a particular patient population assessed by said system relative to mean and standard deviation values determined from the database from other medical risk assessment systems.

2. The system according to claim 1, further comprising means for storing predetermined requirements for risk data comprising the test data, the at least one variable, the transformed data, the determined mean and determined deviation, means for validating the data when received, transformed and determined with regard to the predetermined requirements and means for indicating when the data does not meet the requirements.

3. The system according to claim 1, for use in assessing prenatal risks, wherein said at least one test marker is selected from the group consisting of AFP, hCG and uE3.

4. The system according to claim 3, wherein said at least one variable is selected from the group consisting of age, race, weight and diabetic status.

5. The system according to claim 1, wherein at least two markers are used and further comprising means for correlating the comparisons of the transformed data for the at least two markers.

10. The method according to claim 1, wherein at least two markers are used and further comprising correlating the comparisons of the transformed data for the at least two markers.

6. A method for assessing a medical risk of a given outcome for a patient, comprising the steps of:

obtaining test data from a given patient from a particular patient population corresponding to at least one test marker for predicting the medical risk of a given outcome;

obtaining at least one variable relating to the given patient and transforming the test data with the variable to produce transformed data for each test marker;

providing a database of transformed data from previously assessed patients from other patient populations;

determining mean and standard deviation values from the database in accordance with an actual occurrence of the given outcome for previously assessed patients;

comparing the transformed data with the mean and standard deviation values to assess a likelihood of the given outcome for the given patient; and

locally updating the database with the actual occurrence for the given patient and locally adjusting the mean and standard deviation values, whereby adjusted mean and standard deviation values are adjusted for the particular patient population relative to said mean and standard deviation values determined from the database from other patient populations.

7. The method according to claim 6, further comprising providing predetermined requirements for risk data comprising the test data, the at least one variable, the transformed data, the mean and the standard deviation, validating the data when received, transformed and determined with regard to the predetermined requirements and indicating when the data does not meet the requirements.

8. The method according to claim 6, for use in assessing prenatal risk, further comprising obtaining test markers including at least one selected from the group consisting of AFP, hCG and uE3.

9. The method according to claim 8, wherein the step of obtaining variables comprises obtaining at least one variable selected from the group consisting of age, race, weight and diabetic status.