Methods and systems for analyzing accessing of medical data
Various aspects described herein relate to presenting electronic patient data accessing information. Data related to a plurality of access events, by one or more employees, of electronic patient data can be received. A set of access events of the plurality of access events can be determined as constituting, by the one or more employees, possible breach of the electronic patient data. An alert related to the set of access events can be provided based on determining that the set of access events constitute possible breach of the electronic patient data.
1. A computer-implemented method for detecting a breach in access of electronic patient data, the method comprising:
receiving, by one or more processors of a patient privacy monitoring server, access data from a plurality of electronic patient data access devices situated at various locations, the access data comprising a plurality of electronic patient data access events by one or more employees;
applying, by the one or more processors, at least one rule of a plurality of rules to the access data to determine at least one electronic patient data access event of the plurality of electronic patient data access events that constitutes at least one possible breach of electronic patient data, wherein the plurality of rules correspond to detected common data among the access data and human resources (HR) data;
applying, by the one or more processors, at least one additional filtering rule to the access data to prevent excessive false positives;
detecting, by the one or more processors, that the at least one possible breach of the electronic patient data is inconsistent with at least one data pattern of a plurality of data patterns, wherein the plurality of data patterns correspond to a plurality of detected commonalities in the access data;
in response to the detecting, generating, by the one or more processors, an alert associated with the at least one electronic patient data access event of the plurality of electronic patient data access events that constitutes the at least one possible breach of electronic patient data; and
causing to display, by the one or more processors, the alert on a user interface of a user device, wherein interacting with the alert causes a display of additional information corresponding to the at least one electronic patient data access event to facilitate in further investigation of the alert.
2. The computer-implemented method of claim 1 , wherein the detecting includes using machine-learning to detect at least one commonality of the plurality of detected commonalities, clustering the access data based on the at least one commonality, or computing a statistical inference to detect the at least one commonality.
3. The computer-implemented method of claim 1 , wherein the at least one rule of the plurality of rules is based on an employee position or an employee department.
4. The computer-implemented method of claim 1 , wherein the plurality of data patterns includes a pattern of a particular employee or a pattern of a group of employees.
5. The computer-implemented method of claim 1 , further comprising:
regenerating, by the one or more processors, the at least one data pattern based on changes to the access data or HR data.
6. The computer-implemented method of claim 1 , further comprising:
receiving, by the one or more processors, feedback information indicating whether the at least one possible breach is actually a breach.
7. The computer-implemented method of claim 6 , further comprising:
utilizing, by the one or more processors, the feedback information to activate or deactivate at least one rule of the plurality of rules.
8. The computer-implemented method of claim 6 , further comprising:
utilizing, by the one or more processors, the feedback information to activate or deactivate at least one pattern of the plurality of data patterns.
9. The computer-implemented method of claim 1 , wherein the at least one additional filtering rule corresponds to at least one common last name.
10. A system for detecting a breach in access of electronic patient data, the system comprising:
one or more processors; and
one or more computer readable storage media storing instructions which, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
receiving access data from a plurality of electronic patient data access devices situated at various locations, the access data comprising a plurality of electronic patient data access events by one or more employees;
applying at least one rule of a plurality of rules to the access data to determine at least one electronic patient data access event of the plurality of electronic patient data access events that constitutes at least one possible breach of electronic patient data, wherein the plurality of rules correspond to detected common data among the access data and human resources (HR) data;
applying at least one additional filtering rule to the access data to prevent excessive false positives;
detecting that the at least one possible breach of the electronic patient data is inconsistent with at least one data pattern of a plurality of data patterns, wherein the plurality of data patterns correspond to a plurality of detected commonalities in the access data;
in response to the detecting, generating an alert associated with the at least one electronic patient data access event of the plurality of electronic patient data access events that constitutes the at least one possible breach of electronic patient data; and
causing to display the alert on a user interface of a user device, wherein interacting with the alert causes a display of additional information corresponding to the at least one electronic patient data access event to facilitate in further investigation of the alert.
11. The system of claim 10 , wherein the detecting includes using machine-learning to detect at least one commonality of the plurality of detected commonalities, clustering the access data based on the at least one commonality, or computing a statistical inference to detect the at least one commonality.
12. The system of claim 10 , wherein the at least one rule of the plurality of rules is based on an employee position or an employee department.
13. The system of claim 10 , wherein the plurality of data patterns includes a pattern of a particular employee or a pattern of a group of employees.
14. The system of claim 10 , further comprising:
regenerating the at least one data pattern based on changes to the access data or HR data.
15. The system of claim 10 , wherein the at least one additional filtering rule corresponds to at least one common last name.
16. A non-transitory computer readable media storing instructions which, when executed by one or more processors, cause the one or more processors to perform operations for detecting a breach in access of electronic patient data, the operations comprising:
receiving access data from a plurality of electronic patient data access devices situated at various locations, the access data comprising a plurality of electronic patient data access events by one or more employees;
applying at least one rule of a plurality of rules to the access data to determine at least one electronic patient data access event of the plurality of electronic patient data access events that constitutes at least one possible breach of electronic patient data, wherein the plurality of rules correspond to detected common data among the access data and human resources (HR) data;
applying at least one additional filtering rule to the access data to prevent excessive false positives;
detecting that the at least one possible breach of the electronic patient data is inconsistent with at least one data pattern of a plurality of data patterns, wherein the plurality of data patterns correspond to a plurality of detected commonalities in the access data;
in response to the detecting, generating an alert associated with the at least one electronic patient data access event of the plurality of electronic patient data access events that constitutes the at least one possible breach of electronic patient data; and
causing to display the alert on a user interface of a user device, wherein interacting with the alert causes a display of additional information corresponding to the at least one electronic patient data access event to facilitate in further investigation of the alert.
17. The non-transitory computer readable medium of claim 16 , further comprising:
regenerating the at least one data pattern based on changes to the access data or HR data.
18. The non-transitory computer readable medium of claim 16 , further comprising:
receiving feedback information indicating whether the at least one possible breach is actually a breach.
19. The non-transitory computer readable medium of claim 18 , further comprising:
utilizing the feedback information to activate or deactivate at least one rule of the plurality of rules.
20. The non-transitory computer readable medium of claim 18 , further comprising:
utilizing the feedback information to activate or deactivate at least one pattern of the plurality of data patterns.