Identification mapping and translation method

• US 7,167,858 B2
• Filed: 08/15/2003
• Issued: 01/23/2007
• Est. Priority Date: 08/15/2003
• Status: Active Grant

• Current Assignee: Intelligent Medical Objects, Inc.
• Original Assignee: Intelligent Medical Objects, Inc.
• Inventors: Charlot, Regis, Naeymi-Rad, Frank, Pilkington, David, Alvin, David
• Primary Examiner(s): Ali; Mohammad
• Application Number:
  US10/642,072
• Publication Number:
  US 20050038671A1
• Time in Patent Office: 1,257 Days
• Field of Search: 707100-104, 707 1- 10, 707200-205
• US Class Current: 1/1
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: Y10S 707/99936 Pattern matching access

Abstract

A method for mapping and identifying entity information in a system that includes a database. A client application sends client entity attributes to the system that includes a database The system compares the attributes of the client entity with each of the system entities stored in the system database. Based on the results of the comparison, a score is calculated for the relevance between the client entity and each entity stored in the system. To perform this calculation, a multi-membership Bayesian function is used. Once the scores are computed, they are classified into three confidence zones based on predetermined threshold values. The client attributes are inserted into the system database. These attributes then are connected either to an existing system entity, or are connected to a new system entity that is created.

Claims

1. A method operable on one or more computers for mapping and identifying entity information in a system including a database comprising:

sending client entity attributes from a client application to said system;

comparing said client entity attributes with attributes of system entities stored in said system;

calculating scores for relevance between said client entity and said system entities using a multi-membership Bayesian probability function;

classifying said relevance scores in accordance with predetermined threshold values;

creating an alias containing said client entity attributes;

either pointing said alias to a selected system entity, or creating a new system entity and pointing said alias to said new system entity; and

wherein said calculating step using said multi-membership Bayesian probability function utilizes positive, negative and neutral contributions to said score depending on the results of said comparing step.

2. A method according to claim 1 wherein said sending step uses XML communications protocol.

3. A method according to claim 1 wherein said sending step can specify said client entity attributes, for use in said comparing step, by a group defined in said system.

4. A method according to claim 1 wherein said classifying step utilizes a high confidence zone, a low confidence zone and an indeterminate zone.

5. A method according to claim 1 wherein said client entities and system entities represent persons.

6. A method according to claim 1 wherein said system is a master patient index.

7. A method according to claim 1 further including converting client entity attributes into a format suitable for said comparing step.

8. A method according to claim 1 wherein said calculating step includes assigning weights to attributes when comparing client entity attributes and system entity attributes, such that certain attributes contribute more or less to the score of said calculating step.

9. A method according to claim 8 wherein the weights assigned to attributes are source-dependant.

10. A method according to claim 1 wherein during said calculating step, a score is calculated for only those system entities in which at least one of a predetermined set of attributes has a value matching that of a corresponding client entity attribute.