IP Library Granted Patent US 12,266,213
Granted Patent B2
US 12,266,213 · App. 16/947,388 · Granted Apr 1, 2025

Proactive contact tracing associated with shared health events

Inventors: Nadeem Ahmed (Mississauga, CA); Sameer K. Bhatia (Omaha, NE)
Assignee: Salesforce, Inc.
G06V40/166G06F21/32G06V40/1365G06V40/172G16H10/60G16H20/00G16H40/40G16H40/63G16H40/67G16H50/30G16H50/70G16H50/80G16H80/00G16H40/20
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Quick Facts
Patent No.
US 12,266,213
App. No.
16/947,388
Granted
Apr 1, 2025
Kind
B2
Abstract

Systems and methods may include obtaining data identifying a plurality of cancelled health-related appointments for a plurality of patient records stored in a database, the cancelled health-related appointments associated with a shared health event; associating each of the plurality of patient records with a risk category from a plurality of risk categories ranging from a lowest risk to a highest risk; communicating with a client computing device associated with a patient having a cancelled health-related appointment to schedule a return appointment based at least on a risk category, the communicating including receiving current health condition information of the patient; based on the current health condition information of the patient showing symptoms consistent with symptoms associated with the shared health event, identifying the patient as a potential infected patient; and performing contact tracing based at least on people that the patient has contact with while experiencing the symptoms.

Claims (62)

1. A system comprising:

a database system implemented using a server computing system comprising a plurality of batch servers configurable to implement batch job processing comprising:

configuring, by the server computing system, a variable batch size according to a detected one of a range of reopening phases associated with a shared health event to process batches of patient records stored in a database associated with the database system, each reopening phase having a respective one of a range of restrictions on patient location;

for each batch of the patient records:

performing load balancing for the plurality of batch servers to process the batch of patient records using an interface system implementing the load balancing, the interface system being communicably coupled with the plurality of batch servers, the load balancing including analyzing and forwarding traffic to distribute workload among the plurality of batch servers;

obtaining, from a database, by the server computing system, data identifying a plurality of cancelled health-related appointments for the batch of patient records, the cancelled health-related appointments associated with the shared health event;

associating, by the server computing system, each of the patient records of the batch with a risk category from a plurality of risk categories ranging from a lowest risk to a highest risk, wherein a risk category is determined based at least on a treatment associated with a cancelled health-related appointment;

communicating, by the server computing system, with a client computing device associated with a patient having a cancelled health-related appointment to schedule a return appointment based at least on the detected reopening phase and on a risk category associated with a patient record of the patient, the communicating including receiving, by the server computing system, current health condition information of the patient;

based at least on the current health condition information of the patient showing symptoms consistent with symptoms associated with the shared health event, identifying, by the server computing system, the patient as a potential infected patient; and

performing, by the server computing system, contact tracing based at least on people that the patient has been in contact with while experiencing the symptoms.

2. The system of claim 1 , the batch job processing further comprising:

receiving, by the server computing system, health history information of the patient from an electronic medical record associated with the patient; and

generating, by the server computing system, a quarantine recommendation for the patient based on the health history information of the patient and based on the patient being identified as the potential infected patient.

3. The system of claim 2 , wherein the quarantine recommendation for the patient is a quarantine at a healthcare facility when the health history information of the patient includes a risk factor identified by a health organization or a self-quarantine when the health history information of the patient does not include a risk factor identified by the health organization.

4. The system of claim 1 , the batch job processing further comprising:

obtaining, from the database, by the server computing system, data identifying a plurality of healthcare facilities and resources available at each of the healthcare facilities; and

selecting, by the server computing system, a healthcare facility from the plurality of healthcare facilities that has available resources required for quarantining the patient.

5. The system of claim 1 , wherein the people that the patient has been in contact with while experiencing the symptoms is determined from one or more of family contacts, employment contacts or social contacts.

6. The system of claim 1 , the batch job processing further comprising:

performing, by the server computing system, contact tracing based on geographical areas that the patient is associated with while experiencing the symptoms.

7. The system of claim 6 , where the geographical areas that the patient is associated with while experiencing the symptoms are determined from global position system (GPS) locations recorded by the client computing device associated with the patient.

8. A computer program product comprising a non-transitory computer-readable medium storing computer-readable program code to be executed by one or more processors, the program code including instructions to implement batch job processing by a plurality of batch servers of a server computing system to:

configure a variable batch size according to a detected one of a range of reopening phases associated with a shared health event to process batches of patient records stored in a database, each reopening phase having a respective one of a range of restrictions on patient location;

for each batch of the patient records:

perform load balancing for the plurality of batch servers to process the batch of patient records using an interface system implementing the load balancing, the interface system being communicably coupled with the plurality of batch servers, the load balancing including analyzing and forwarding traffic to distribute workload among the plurality of batch servers;

obtain, from a database, data identifying a plurality of cancelled health-related appointments for the batch of patient records, the cancelled health-related appointments associated with the shared health event;

associate each of the patient records of the batch with a risk category from a plurality of risk categories ranging from a lowest risk to a highest risk, wherein a risk category is determined based at least on a treatment associated with a cancelled health-related appointment;

communicate with a client computing device associated with a patient having a cancelled health-related appointment to schedule a return appointment based at least on the detected reopening phase and on a risk category associated with a patient record of the patient, the communicating including receiving current health condition information of the patient;

based at least on the current health condition information of the patient showing symptoms consistent with symptoms associated with the shared health event, identify the patient as a potential infected patient; and

perform contact tracing based at least on people that the patient has been in contact with while experiencing the symptoms.

9. The computer program product of claim 8 , the program code further including instructions to:

receive health history information of the patient from an electronic medical record associated with the patient; and

generate a quarantine recommendation for the patient based on the health history information of the patient and based on the patient being identified as the potential infected patient.

10. The computer program product of claim 9 , wherein the quarantine recommendation for the patient is a quarantine at a healthcare facility when the health history information of the patient includes a risk factor identified by a health organization or a self-quarantine when the health history information of the patient does not include a risk factor identified by the health organization.

11. The computer program product of claim 8 , the program code further including instructions to:

obtain, from the database, data identifying a plurality of healthcare facilities and resources available at each of the healthcare facilities; and

select a healthcare facility from the plurality of healthcare facilities that has available resources required for quarantining the patient.

12. The computer program product of claim 8 , wherein the people that the patient has been in contact with while experiencing the symptoms is determined from one or more of family contacts, employment contacts or social contacts.

13. The computer program product of claim 8 , the program code further including instructions to:

perform contact tracing based on geographical areas that the patient is associated with while experiencing the symptoms.

14. The computer program product of claim 13 , where the geographical areas that the patient is associated with while experiencing the symptoms are determined from global position system (GPS) locations recorded by the client computing device associated with the patient.

15. A computer-implemented method for performing contact tracing associated with a shared health event, the method comprising:

performing batch job processing by a plurality of batch servers of a server computing system, the batch job processing comprising:

configuring, by the server computing system, a variable batch size according to a detected one of a range of reopening phases associated with a shared health event to process batches of patient records stored in a database, each reopening phase having a respective one of a range of restrictions on patient location;

for each batch of the patient records:

performing load balancing for the plurality of batch servers to process the batch of patient records using an interface system implementing the load balancing, the interface system being communicably coupled with the plurality of batch servers, the load balancing including analyzing and forwarding traffic to distribute workload among the plurality of batch servers;

obtaining, from a database, by the server computing system, data identifying a plurality of cancelled health-related appointments for the batch of patient records, the cancelled health-related appointments associated with the shared health event;

associating, by the server computing system, each of the patient records of the batch with a risk category from a plurality of risk categories ranging from a lowest risk to a highest risk, wherein a risk category is determined based at least on a treatment associated with a cancelled health-related appointment;

communicating, by the server computing system, with a client computing device associated with a patient having a cancelled health-related appointment to schedule a return appointment based at least on the detected reopening phase and on a risk category associated with a patient record of the patient, the communicating including receiving, by the server computing system, current health condition information of the patient;

based at least on the current health condition information of the patient showing symptoms consistent with symptoms associated with the shared health event, identifying, by the server computing system, the patient as a potential infected patient; and

performing, by the server computing system, contact tracing based at least on people that the patient has been in contact with while experiencing the symptoms.

16. The method of claim 15 , further comprising:

receiving, by the server computing system, health history information of the patient from an electronic medical record associated with the patient; and

generating, by the server computing system, a quarantine recommendation for the patient based on the health history information of the patient and based on the patient being identified as the potential infected patient.

17. The method of claim 16 , wherein the quarantine recommendation for the patient is a quarantine at a healthcare facility when the health history information of the patient includes a risk factor identified by a health organization or a self-quarantine when the health history information of the patient does not include a risk factor identified by the health organization.

18. The method of claim 15 , further comprising:

obtaining, from the database, by the server computing system, data identifying a plurality of healthcare facilities and resources available at each of the healthcare facilities; and

selecting, by the server computing system, a healthcare facility from the plurality of healthcare facilities that has available resources required for quarantining the patient.

19. The method of claim 15 , wherein the people that the patient has been in contact with while experiencing the symptoms is determined from one or more of family contacts, employment contacts or social contacts.

20. The method of claim 15 , further comprising:

performing, by the server computing system, contact tracing based on geographical areas that the patient is associated with while experiencing the symptoms.

21. The method of claim 20 , where the geographical areas that the patient is associated with while experiencing the symptoms are determined from global position system (GPS) locations recorded by the client computing device associated with the patient.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 30, 2020
From: AHMED, NADEEM; BHATIA, SAMEER K.
To: SALESFORCE.COM, INC.
Reel/Frame 053356/0782 →
Continuity (2)
Provisional Application 63007764 · Apr 9, 2020
Related Publication 20210319901A1 · Oct 14, 2021
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