System and method for the automated presentation of system data to, and interaction with, a computer maintained database

• US 7,676,384 B2
• Filed: 01/18/2001
• Issued: 03/09/2010
• Est. Priority Date: 01/18/2000
• Status: Active Grant

• Current Assignee: Medigenesis Incorporated
• Original Assignee: Medigenesis Incorporated
• Inventors: Thompson, Miles K., Baker, Sidney M., Ramachandran, Satheesh
• Primary Examiner(s): Frenel; Vanel
• Application Number:
  US09/765,714
• Publication Number:
  US 20030061072A1
• Time in Patent Office: 3,337 Days
• Field of Search: 705 2- 3, 435/6, 707/3, 707/101, 702/19
• US Class Current: 705/3
• CPC Class Codes: G06F 16/355 Class or cluster creation or modification
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 10/40 for data related to laboratory analysis, e.g. patient specimen analysis
• 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 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A system and method are provided for extracting a set of data from a system user descriptive of the complete health snapshot of the user'"'"'s to interact with a database of numerous other users so as to generate a cluster of similar user'"'"'s exhibiting a similar (within some system defined distance metric) health snapshot. The system guides the user to present his or her data via a complex questionnaire based upon a novel descriptive taxonomy, based upon the principles of “cyberhealth” as opposed to the standard medical “disease oriented” singular cause and effect model. The system generates the cluster of similar users, analyzes the cluster to obtain a ranked list of possible remedies or therapies to assist the user in dealing with health problems. The system further creates a computer networked virtual community of users with common health problems/interests, facilitates online chat, discussion groups, and the trading of health information. Additionally, the system provides listings of and links to health care providers and medical testing laboratories who are able to assist users of the system.

Claims

1. An interactive medico-health data acquisition, storage and analysis system, comprising:

a display;

an interactive medico-health data acquisition interface displayed on the display;

a memory;

at least one data processor; and

a reporting module to report conclusions to a user, wherein, in operation, the interactive medico-health data acquisition interface prompts a user to provide data sufficient to comprise a comprehensive description of his health status;

wherein the user provided data is simplified so as to remove redundancies and is conceptually organized according to a defined comprehensive medico-health taxonomy;

wherein the data is stored in the memory in a multidimensional data structure having at least three dimensions whose dimensions reflect said taxonomy, said at least three dimensions comprising a systemic field, a functional field and a locational field, and wherein the display of the medico-health data acquisition interface, the prompting of a user, the simplification and organization of data, the storage of data and the reporting to a user is performed by the at least one data processor.

2. The system of claim 1, wherein the interactive medico-health data acquisition interface obtains the data by dynamically posing a plurality of questions to a user.

3. The system of claim 1, wherein the at least one data processor processes the stored data by implementing a clustering generation algorithm to find a set of other users whose multidimensional data structures are within a certain distance of the user'"'"'s data structure according to a defined distance metric.

4. The system of claim 3, further comprising at least one of storing the cluster for further processing, reporting the members of the cluster to the user, further processing the data associated with the users in the cluster and facilitating on-line communications between the various members of the cluster.

5. The system of claim 4, wherein the at least one data processor further processes the generated cluster to generate useful information for the user.

6. A method of medico-health data acquisition, storage, comparison and analysis, comprising:

providing a first multidimensional data structure comprising a comprehensive description of a health status of a first human being, said multidimensional data structure having at least three dimensions, comprising a systemic field, a functional field and a locational field;

storing said data structure in a database containing a plurality of other multidimensional data structures, each of said multidimensional data structures having at least three dimensions, comprising a systemic field, a functional field and a locational field, and each comprising a comprehensive description of the health status of another human being;

measuring a distance between the first multidimensional data structure and the plurality of other multidimensional data structures using a defined distance metric;

identifying a cluster of closest other multidimensional data structures within the database; and

analyzing the cluster of closest other multidimensional data structures for useful information,

wherein the providing, storing, measuring, identifying and analyzing is performed by a data processor.

7. The method of claim 6, where the number of other multidimensional data structures in the cluster is set dynamically.

8. The method of claim 7, where the number of other multidimensional data structures in the cluster is determined by means of comparing the moving average of the incremental increase in the distance associated with each added multidimensional data structure to a defined threshold.

9. The method of claim 8, wherein the analysis of the cluster generates useful medical information for one of the first human being and the other human beings in the cluster.

10. The method of claim 9, wherein the distance between the multidimensional data structures in the database is a measure of medico-health similarity.

11. A method of expressing a human'"'"'s comprehensive medico-health state as a multidimensional vector in a hyperspace, comprising:

articulating a substantially comprehensive description of a human'"'"'s medico-health state using a specialized taxonomy via an interactive medico-health data acquisition interface; and

mapping the articulation to a vector in hyperspace whose components are numbers indicating a measure of a presence or an absence of each of a set of medico-health attributes, said vector having a plurality of components, each of said components having at least three dimensions, comprising a systemic field, a functional field and a locational field;

wherein said articulating and mapping is performed by a data processor, and wherein the components of said vector constitute a orthogonal basis set for specifying a point in the hyperspace.

12. The method of claim 11, wherein the numbers vary between zero and an integer upper bound.

13. A computerized method of comprehensive medico-health data encoding, comprising:

encoding a comprehensive description of a human'"'"'s health status as a set of numerical values, said values organized in a plurality of records, each record having at least three fields corresponding to a systemic field, a functional field and a locational field;

wherein said encoding is implemented by a data processor in response to data supplied by a user interacting with an automated interactive medico-health data acquisition interface controlled by said data processor that queries a user and elicits said user'"'"'s responses in terms of a defined comprehensive medico-health taxonomy; and

wherein the set of numerical values comprise the values of categories or qualities that collectively form a orthogonal basis set in a hyperspace.

14. The method of claim 13 wherein each of the values of said categories or qualities itself has M fields or dimensions.

15. The method of claim 14, wherein M equals three.

16. The method of claim 15, wherein each three-dimensional value is a unique coincidence of:

a bodily system identifier;

an identifier of a medical condition or pertinent fact; and

an identifier of anatomical location.

17. A computer storage medium having software code stored thereon, the software code being configured to cause a computer to execute a method for interactive medico-health data acquisition, storage and analysis, the method comprising:

displaying a an interactive medico-health data acquisition interface on a display;

prompting a user to provide data sufficient to comprise a comprehensive description of his health status via the interface;

simplifying the user provided data so as to remove redundancies;

conceptually organize the data according to a defined comprehensive medico-health taxonomy; and

storing the data in a memory in a multidimensional data structure having at least three dimensions whose dimensions reflect said taxonomy, said at least three dimensions comprising a systemic field, a functional field and a locational field.

18. The computer storage medium of claim 17, wherein the prompting of the user to provide data obtains the data by dynamically posing a plurality of questions to the user.

19. The computer storage medium of claim 17, said method further comprising processing the stored data by implementing a clustering generation algorithm to find a set of other users whose multidimensional data structures are within a certain distance of the user'"'"'s data structure according to a defined distance metric.

20. The computer storage medium of claim 19, said method further comprising at least one of storing the cluster for further processing, reporting the members of the cluster to the user, further processing the data associated with the users in the cluster and facilitating on-line communications between the various members of the cluster.

21. The computer storage medium of claim 20, said method further comprising processing the generated cluster to generate useful information for the user.