IP Library Granted Patent US 10,347,382
Granted Patent B2
US 10,347,382 · App. 14/500,596 · Granted Jul 9, 2019

Methods and apparatus for geography-based antimicrobial resistance tracking

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Quick Facts
Patent No.
US 10,347,382
App. No.
14/500,596
Granted
Jul 9, 2019
Kind
B2
Abstract

Methods and apparatus for tracking antimicrobial resistance based on geography. An application server receives a query from a client application to provide antimicrobial resistance data for a geographic location. The application server determines a geographic region based, at least in part, on the geographic location included in the query, and antimicrobial data for samples collected from patients residing in the geographic region are retrieved from at least one health information datastore of a health information system. The retrieved antimicrobial data comprises information describing antimicrobial resistance of an infectious organism detected in the biological samples to at least one antimicrobial agent, and is transmitted to a client device on which the client application that issued the query is executing.

Claims (67)

1. A method of tracking antimicrobial resistance based on geography, the method comprising:

storing, on at least one health information datastore, at least one geography-based data structure, wherein the at least one geography-based data structure comprises a plurality of elements, each of the plurality of elements corresponding to a geographic area;

receiving health information for each of a plurality of patients of a plurality of medical practices, wherein the health information includes antimicrobial data associated with a patient and a home address of the patient;

associating the antimicrobial data with at least one of the plurality of elements of the at least one geography-based data structure, wherein the associating is performed based, at least in part, on the home address of the patient associated with the antimicrobial data;

receiving, by an application server from a client computing device on which a client application is executing, a query for antimicrobial resistance information, wherein the query includes a geographic location;

determining, with at least one computer processor, a geographic region based, at least in part, on the geographic location included in the query, wherein the geographic region corresponds to a larger geographic area than the geographic location; and

retrieving, from the at least one health information datastore in communication with the application server, antimicrobial data for biological samples collected from patients having a home address in the geographic region, wherein retrieving the antimicrobial data comprises determining one or more corresponding elements of the at least one geography-based data structure which correspond to a geographic area in the determined geographic region and retrieving the antimicrobial data based, at least in part, on the one or more corresponding elements, wherein the antimicrobial data comprises:

infectious organism-antimicrobial agent pairs, wherein each of the infectious organism-antimicrobial agent pairs corresponds to an instance of antimicrobial resistance to the antimicrobial agent in the pair of the infectious organism in the pair as detected in the biological samples;

determining whether a number of the infectious organism-antimicrobial agent pairs specified in the retrieved antimicrobial data for the geographic region is greater than a threshold value; and

transmitting the antimicrobial data to the client computing device in response to determining that the number of the infectious organism-antimicrobial agent pairs specified in the retrieved antimicrobial data is greater than the threshold value.

2. The method of claim 1 , wherein determining the geographic region comprises:

determining a zip code for the geographic location included in the query; and

determining the geographic region based, at least in part, on the zip code.

3. The method of claim 1 , wherein determining the geographic region comprises determining the geographic region as a region centered on the geographic location and having an area of a particular size and/or shape.

4. The method of claim 1 , further comprising:

altering, without input from the client computing device, the geographic region in response to determining that the number of the infectious organism-antimicrobial agent pairs specified in the retrieved antimicrobial data for the geographic region is less than the threshold value;

retrieving, from the at least one health information datastore, antimicrobial data for biological samples collected from patients having a home address in the altered geographic region, wherein retrieving antimicrobial data for biological samples collected from patients having a home address in the altered geographic region comprises determining which one or more elements of the at least one data structure correspond to a geographic area in the altered geographic region and retrieving the antimicrobial data based, at least in part, on the one or more corresponding elements;

determining whether a number of infectious organism-antimicrobial agent pairs specified in the retrieved antimicrobial data for the altered geographic region is greater than the threshold value; and

transmitting, in response to determining that the number of infectious organism-antimicrobial agent pairs specified in the retrieved antimicrobial for the altered geographic region is greater than the threshold value, the retrieved antimicrobial data for the altered geographic region to the client device on which the client application is executing.

5. The method of claim 4 , wherein altering the geographic region comprises incrementally altering a size and/or shape of the geographic region until the number of infectious organism-antimicrobial agent pairs specified in the retrieved antimicrobial data for the altered geographic region is greater than the threshold value.

6. The method of claim 4 , wherein altering the geographic region comprises expanding a size of the geographic region.

7. The method of claim 1 , further comprising:

receiving an electronic laboratory report from a laboratory, wherein the electronic laboratory report includes an antimicrobial resistance analysis for one or more infectious organisms identified in at least one biological sample; and

storing, on the at least one health information datastore, at least a portion of the antimicrobial resistance analysis for the one or more infectious organisms identified in the at least one biological sample.

8. The method of claim 7 , further comprising:

identifying a patient associated with the at least one biological sample;

and

updating the at least one geography-based data structure by associating at least a portion of the antimicrobial resistance analysis with at least one of the plurality of elements of the at least one geography-based data structure, wherein the associating is performed based, at least in part, on the home address of the patient.

9. The method of claim 1 , further comprising:

determining based, at least in part, on the retrieved antimicrobial data, sensitivity information for each of a plurality of infectious organisms to at least one antimicrobial agent; and

transmitting the sensitivity information to the client device on which the client application is executing.

10. The method of claim 9 , wherein determining the sensitivity information for each of a plurality of infectious organisms comprises:

determining a percentage of isolates for the infectious organism for the geographic region sensitive to the at least one antimicrobial agent.

11. The method of claim 1 , wherein the query includes a specimen type, and wherein retrieving the antimicrobial data comprises retrieving the antimicrobial data for biological samples of a type corresponding to the specimen type included in the query.

12. The method of claim 1 , wherein the query includes a specimen type, and wherein the threshold value depends, at least in part, on the specimen type included in the query.

13. The method of claim 1 , wherein the antimicrobial data comprises specimen type information, wherein each of the plurality of elements of the at least one geography-based data structure includes a plurality of sub-elements, each of which corresponds to a specimen type, and wherein the method further comprises associating based, on the specimen type information, the antimicrobial data with one of the plurality of sub-elements in each of the at least one of the plurality of elements of the at least one geography-based data structure with which the antimicrobial data is associated.

14. A health information system, comprising:

at least one health information datastore configured to store health information for a plurality of patients of a plurality of medical practices, wherein the health information includes antimicrobial data associated with a patient and a home address of the patient, wherein the at least one health information datastore is further configured to store at least one geography-based data structure, wherein the at least one geography-based data structure comprises a plurality of elements, each of the plurality of elements corresponding to a geographic area, wherein one or more of the plurality of elements of the at least one geography-based data structure is associated with at least some of the antimicrobial data, wherein the associating is based, at least in part, on the home address of the patient associated with the antimicrobial data; and

an application server configured to communicate with the at least one health information datastore, wherein the application server comprises:

a network interface configured to receive a query for antimicrobial resistance information from a client application executing on a client computing device, wherein the query includes a geographic location; and

at least one processor programmed to:

determine a geographic region based, at least in part, on the geographic location included in the query, wherein the geographic region corresponds to a larger geographic area than the geographic location;

retrieve, from the at least one health information datastore, antimicrobial data for biological samples collected from patients having a home address in the geographic region, wherein retrieving the antimicrobial data comprises determining one or more corresponding elements of the at least one geography-based data structure which correspond to a geographic area in the determined geographic region and retrieving the antimicrobial data based, at least in part, on the one or more corresponding elements, wherein the antimicrobial data comprises infectious organism-antimicrobial agent pairs, wherein each of the infectious organism-antimicrobial agent pairs corresponds to an instance of antimicrobial resistance to the antimicrobial agent in the pair of the infectious organism in the pair as detected in the biological samples;

determine whether a number of the infectious organism-antimicrobial agent pairs specified in the retrieved antimicrobial data for the geographic region is greater than a threshold value; and

transmit the antimicrobial data to the client computing device in response to determining that the number of the infectious organism-antimicrobial agent pairs specified in the retrieved antimicrobial data is greater than the threshold value.

15. The health information system of claim 14 , wherein the at least one health information datastore is configured to store the health information in electronic health records; and

wherein associating at least some of the antimicrobial data with one or more of the plurality of elements of the at least one geography-based data structure comprises associating the antimicrobial data from the electronic health records of all patients having a home address within the geographic area corresponding to an element of the plurality of elements, with the element.

16. The health information system of claim 14 , wherein determining the geographic region comprises determining the geographic region as a region centered on the geographic location and having an area of a particular size and/or shape.

17. The health information system of claim 14 , wherein the at least one processor is further programmed to:

expand a size of the geographic region in response to determining that the number of the infectious organism-antimicrobial agent pairs specified in the antimicrobial data retrieved from the at least one health information datastore is less than the threshold value; and

retrieve, from the at least one health information datastore, antimicrobial data for biological samples collected from patients having a home address in the expanded geographic region, wherein retrieving antimicrobial data for biological samples collected from patients having a home address in the expanded geographic region comprises determining which one or more elements of the at least one data structure correspond to a geographic area in the expanded geographic region and retrieving the antimicrobial data based, at least in part, on the one or more corresponding elements.

18. The health information system of claim 14 , wherein the at least one processor is further programmed to:

determine based, at least in part, on the retrieved antimicrobial data, sensitivity information for each of a plurality of infectious organisms to at least one antimicrobial agent, wherein determining the sensitivity information for each of a plurality of infectious organisms comprises determining a percentage of isolates for the infectious organism for the geographic region sensitive to the at least one antimicrobial agent; and

transmit the sensitivity information to the client device on which the client application is executing.

19. The health information system of claim 17 , wherein the at least one processor is further programmed to:

determine whether a number of infectious organism-antimicrobial agent pairs specified in the retrieved antimicrobial data for the expanded geographic region is greater than the threshold value; and

transmit, in response to determining that the number of infectious organism-antimicrobial agent pairs specified in the retrieved antimicrobial for the expanded geographic region is greater than the threshold value, the retrieved antimicrobial data for the expanded geographic region to the client device on which the client application is executing.

20. The health information system of claim 19 , wherein expanding the size of the geographic region comprises incrementally expanding the size of the geographic region until the number of infectious organism-antimicrobial agent pairs specified in the retrieved antimicrobial data for the expanded geographic region is greater than the threshold value.

21. At least one non-transitory computer-readable storage medium encoded with a plurality of instructions that, when executed by at least one processor of an application server computer perform a method of tracking antimicrobial resistance based on geography, the method comprising:

storing, on at least one health information datastore, at least one geography-based data structure, wherein the at least one geography-based data structure comprises a plurality of elements, each of plurality of elements corresponding to a geographic area;

receiving health information for each of a plurality of patients of a plurality of medical practices, wherein the health information includes antimicrobial data associated with a patient and a home address of the patient;

associating the antimicrobial data with at least one of the plurality of elements of the at least one geography-based data structure, wherein the associating is performed based, at least in part, on the home address of the patient associated with the antimicrobial data;

receiving, by an application server from a client computing device on which a client application is executing, a query for antimicrobial resistance information, wherein the query includes a geographic location;

determining, with at least one computer processor, a geographic region based, at least in part, on the geographic location included in the query, wherein the geographic region corresponds to a larger geographic area than the geographic location;

retrieving, from the at least one health information datastore in communication with the application server, antimicrobial data for biological samples collected from patients having a home address in the geographic region, wherein retrieving the antimicrobial data comprises determining one or more corresponding elements of the at least one geography-based data structure which correspond to a geographic area in the determined geographic region and retrieving the antimicrobial data based, at least in part, on the one or more corresponding elements, wherein the antimicrobial data comprises infectious organism-antimicrobial agent pairs, wherein each of the infectious organism-antimicrobial agent pairs corresponds to an instance of antimicrobial resistance to the antimicrobial agent in the pair of the infectious organism in the pair as detected in the biological samples;

determining whether a number of the infectious organism-antimicrobial agent pairs specified in the retrieved antimicrobial data for the geographic region is greater than a threshold value; and

transmitting the antimicrobial data to the client computing device in response to determining that the number of the infectious organism-antimicrobial agent pairs specified in the retrieved antimicrobial data is greater than the threshold value.

Assignments (7)
SECURITY INTEREST Recorded Jul 31, 2026
From: ATHENAHEALTH, INC.; PRAXIFY TECHNOLOGIES, INC.; VVC HOLDING LLC
To: WILMINGTON TRUST, NATIONAL ASSOCIATION, AS COLLATERAL AGENT
Reel/Frame 075490/0079 →
RELEASE OF SECURITY INTEREST Recorded Feb 15, 2022
From: JPMORGAN CHASE BANK, N.A.
To: VVC HOLDING LLC (F/K/A VVC HOLDING CORP.); ATHENAHEALTH, INC.; EPOCRATES, LLC; PRAXIFY TECHNOLOGIES, INC.
Reel/Frame 059111/0757 →
SECURITY INTEREST Recorded Feb 15, 2022
From: ATHENAHEALTH, INC.; VVC HOLDING LLC; EPOCRATES, LLC; PRAXIFY TECHNOLOGIES, INC.
To: JPMORGAN CHASE BANK, N.A., AS COLLATERAL AGENT
Reel/Frame 059016/0774 →
RELEASE OF SECOND LIEN SECURITY INTEREST Recorded Feb 12, 2021
From: ARES CAPITAL CORPORATION
To: VVC HOLDING CORP.; ATHENAHEALTH, INC.; EPOCRATES, LLC; PRAXIFY TECHNOLOGIES, INC.
Reel/Frame 055291/0421 →
SECOND LIEN SECURITY AGREEMENT Recorded Feb 12, 2019
From: VVC HOLDING CORP.; ATHENAHEALTH, INC.; EPOCRATES, LLC; PRAXIFY TECHNOLOGIES, INC.
To: ARES CAPITAL CORPORATION
Reel/Frame 048304/0161 →
FIRST LIEN SECURITY AGREEMENT Recorded Feb 11, 2019
From: VVC HOLDING CORP.; ATHENAHEALTH, INC.; EPOCRATES, LLC; PRAXIFY TECHNOLOGIES, INC.
To: JPMORGAN CHASE BANK, N.A.
Reel/Frame 048301/0890 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 30, 2015
From: NIX, ROBERT; GUILIANO, SHAYNE; MENEGHETTI, ANNE; HUNG, PETER; WILKINSON, NATHAN; DON, ABBE; JERGENSEN, ALEXANDER C.; MAGID, JEREMY
To: ATHENAHEALTH, INC.
Reel/Frame 034853/0741 →