IP Library Granted Patent US 9,043,901
Granted Patent B2
US 9,043,901 · App. 13/730,824 · Granted May 26, 2015

Intent-based clustering of medical information

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Quick Facts
Patent No.
US 9,043,901
App. No.
13/730,824
Granted
May 26, 2015
Kind
B2
Abstract

A medical information navigation engine (“MINE”) includes a medical information interface, a reconciliation engine and an intent-based presentation engine. The medical information interface receives medical information from a plurality of medical sources, which is subsequently reconciled by the reconciliation engine. The intent-based presentation engine clusters the reconciled medical information by applying at least one clustering rule to the reconciled medication information. The clustered reconciled medical information can be presented to a user.

Claims (23)

1. In a computerized medical information navigation engine (“MINE”), a method for intent-based clustering of medical information, the method comprising:

receiving medical information into a memory device from a plurality of medical sources;

reconciling the medical information, wherein the reconciliation includes parsing the medical information for terms, correlating the terms to medical concepts and consolidating medical information which relates to similar medical concepts;

clustering the reconciled medical information, wherein the clustering includes applying at least one clustering rule to the reconciled medication information; and

presenting the clustered reconciled medical information to a user, wherein at least a portion of the clustered medical information being presented to the user is based on relevancy of the portion, and wherein the relevancy is based on at least one of a specific function, a role and a security privilege associated with the user.

2. The method of claim 1 wherein the clustering further comprises applying at least one dynamic rule to the reconciled medical information.

3. The method of claim 1 wherein the reconciling further comprises applying at least one similarity rule.

4. The method of claim 3 wherein the at least one similarity rule includes comparing patient data attributes.

5. The method of claim 4 further comprising computing a distance between the patient data attributes and clustered reconciled medical information.

6. The method of claim 5 wherein if the distance is less than a threshold, then the clustered reconciled medical information is included in a presentation cluster prepared for the user.

7. The method of claim 5 wherein if the distance is greater than a threshold, then the clustered reconciled medical information is excluded from a presentation cluster prepared for the user.

8. The method of claim 3 wherein the at least one similarity rule includes identifying associated terms.

9. A computerized medical information navigation engine (“MINE”) comprising:

a medical information interface comprising memory and a processor, configured to receive medical information from a plurality of medical sources;

a reconciliation engine configured to reconcile the medical information, wherein the reconciliation includes parsing the medical information for terms, correlating the terms to medical concepts and consolidating medical information which relates to similar medical concepts; and

an intent-based presentation engine configured to cluster the reconciled medical information, wherein the clustering includes applying at least one clustering rule to the reconciled medication information, and wherein the presentation engine is further configured to present the clustered reconciled medical information to a user, wherein at least a portion of the clustered medical information being presented to the user is based on relevancy of the portion, and wherein the relevancy is based on at least one of a specific function, a role and a security privilege associated with the user.

10. The MINE of claim 9 wherein the clustering further comprises applying at least one dynamic rule to the reconciled medical information.

11. The MINE of claim 9 wherein the reconciling further comprises applying at least one similarity rule.

12. The MINE of claim 11 wherein the at least one similarity rule includes comparing patient data attributes.

13. The MINE of claim 12 wherein the intent-based presentation engine is further configured to compute a distance between the patient data attributes and clustered reconciled medical information.

14. The MINE of claim 13 wherein if the distance is less than a threshold, then the clustered reconciled medical information is included in a presentation cluster prepared for the user.

15. The MINE of claim 13 wherein if the distance is greater than a threshold, then the clustered reconciled medical information is excluded from a presentation cluster prepared for the user.

16. The MINE of claim 11 wherein the at least one similarity rule includes identifying associated terms.

Assignments (5)
CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNEE NAME PREVIOUSLY RECORDED ON REEL 33044 FRAME 836. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT OF ASSIGNORS INTEREST. Recorded Dec 11, 2024
From: CHAUDHRI, IMRAN N.; DASTMALCHI, SHAHRAM SHAWN; ROGERS, ROBERT DERWARD; SETHUMADHAVAN, VISHNUVYAS; ANSARI, SHAMSHAD ALAM
To: APIXIO INC.
Reel/Frame 069587/0379 →
RELEASE OF SECURITY INTEREST Recorded Aug 30, 2024
From: CHURCHILL AGENCY SERVICES LLC
To: APIXIO, LLC (F/K/A APIXIO INC.)
Reel/Frame 068453/0713 →
ENTITY CONVERSION Recorded Jul 12, 2023
From: APIXIO INC.
To: APIXIO, LLC
Reel/Frame 064259/0006 →
SECURITY INTEREST Recorded Jun 13, 2023
From: APIXIO INC.
To: CHURCHILL AGENCY SERVICES LLC
Reel/Frame 063928/0847 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 28, 2014
From: CHAUDHRI, IMRAN N.; DASTMALCHI, SHAHRAM SHAWN; ROGERS, ROBERT DERWARD; SETHUMADHAVAN, VISHNUVYAS; ANSARI, SHAMSHAD ALAM
To: APIXIO, INC.
Reel/Frame 033044/0836 →