Health forecaster

• US 9,110,553 B2
• Filed: 02/17/2012
• Issued: 08/18/2015
• Est. Priority Date: 12/28/2011
• Status: Active Grant

• Current Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Original Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Inventors: Ash, Michael A., Reynolds, Todd Jeffrey, Hays, Harlen
• Primary Examiner(s): Abdul-Ali, Omar
• Assistant Examiner(s): Chung, Mong-Shune
• Application Number:
  US13/399,278
• Publication Number:
  US 20130174073A1
• Time in Patent Office: 1,278 Days
• Field of Search: 715/771, 715/706
• US Class Current: 1/1
• CPC Class Codes: G06F 3/048 Interaction techniques based on graphical user interfaces [GUI]
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

Methods, computer systems, and computer-readable storage media are provided for utilizing health-related variables to generate a current health state of a user along with a most-likely future health state of the user and an ideal future health state of the user. Graphical representations of these health states are generated and presented on a graphical user interface. The user is able to interact with the graphical representations to see the impact of the user'"'"'s choices on the user'"'"'s future health.

Claims

1. One or more computer-readable storage media having embodied thereon computer executable instructions that, when executed by a server, perform a method of using health-related variables associated with a subject having a health condition to generate current and future health states of the subject, the method comprising:

receiving structured and unstructured health-related data associated with the subject having the health condition, the structured and unstructured health-related data comprising data over a past period of time up to a current period of time, the structured and unstructured health-related data comprising data received from at least one of personal health risk assessments, biometric screenings, and health-related insurance claims associated with the subject;

codifying the structured and unstructured health-related data into a set of codified concepts of standard nomenclature;

utilizing the set of codified concepts, generating;

at least a first health score that represents the current health state of the subject, wherein the at least the first health score comprises a percentile comparison of the subject'"'"'s current health state to health states of people who share one or more demographic traits with the subject,

at least a second health score that represents the future health state of the subject, wherein the at least the second health score comprises a percentile comparison of the subject'"'"'s future health state to health states of the people who share one or more demographic traits with the subject, and wherein the at least the second health score is determined by applying regression analysis to the set of codified concepts of standard nomenclature;

generating a first graphical representation of the current health state of the subject and generating a second graphical representation of the future health state of the subject, wherein the first graphical representation comprises a first anatomically correct body-image representation of the subject and the second graphical representation comprises a second anatomically correct body-image representation of the subject, wherein at least the first anatomically correct body-image representation further comprises one or more automatically updateable visual indicators indicating areas of concern for the subject based on the current health state of the subject and the future health state of the subject, and when there are multiple body systems affected by a particular condition, outlining at least the first anatomically correct body-image representation with a particular type of line representing the particular condition; and

rendering the first and second graphical representations on a graphical user interface (GUI).

2. The media of claim 1, wherein the structured and unstructured health-related data are codified using at least one of Systemized Nomenclature of Medicine (SNOMED) or Logical Observation Identifiers Names and Codes (LOINC).

3. The media of claim 1, wherein the at least the first and second health scores are generated using Principal Component Analysis (PCA).

4. The media of claim 1, further comprising:

receiving one or more subject selections associated with the first graphical representation;

determining goals and recommendations based on the current health state of the subject and the one or more subject selections, wherein the goals and recommendations are related to the subject achieving an improved future health state as compared to the current health state;

presenting the goals and recommendations on the GUI;

receiving one or more subject selections of the goals and recommendations;

generating a third graphical representation of the improved future health state based on the one or more subject selections of the goals and recommendations; and

rendering the third graphical representation of the improved future health state on the GUI.

5. The media of claim 1, wherein the particular type of line representing the particular condition comprises a colored halo, wherein a color of the colored halo is predetermined according to a color code.