Methods and systems for analyzing accessing of drug dispensing systems
Various aspects described herein relate to presenting drug dispensing information. Data related to a plurality of dispensing events initiated by one or more employees, of an electronic drug dispensing system can be received. A set of dispensing events of the plurality of dispensing events can be determined as constituting possible misappropriation of drugs by the one or more employees. An alert related to the set of dispensing events can be provided based on determining that the set of dispensing events constitute possible misappropriation of drugs.
1. A computer-implemented method for processing drug dispensing data to determine a possible drug misappropriation, the method comprising:
receiving, by a distributed analytics system, drug dispensing data from one or more data sources, the one or more data sources comprising at least one of: one or more dispensing logs or one or more electronic medical records (EMRs) received from a healthcare provider network;
identifying, by the distributed analytics system, a plurality of dispensing events by a plurality of users based at least in part on the one or more dispensing logs;
detecting, by the distributed analytics system, at least one drug misappropriation event corresponding to at least one of the plurality of dispensing events based on at least one of one or more rules or one or more drug dispensing patterns;
determining, by the distributed analytics system, at least one confidence level corresponding to the at least one detected possible drug misappropriation, wherein the at least one confidence level is based on at least one of which of the one or more rules the at least one detected possible drug misappropriation satisfies, which of the one or more drug dispensing patterns to which the at least one detected possible drug misappropriation relates, or a level of deviation of the at least one detected possible drug misappropriation from the one or more drug dispensing patterns; and
causing to display on an interface of a user device, by the distributed analytics system, an alert that includes:
detected possible drug misappropriation information of the at least one detected possible drug misappropriation and the at least one confidence level, and
a feedback component for receiving feedback that enables activation or deactivation of a rule of the one or more rules or a pattern of the one or more drug dispensing patterns.
2. The computer-implemented method of claim 1 , wherein the alert identifies a user of the plurality of users that dispensed the drug, a drug type, an drug amount, a wasting event, or prescription information.
3. The computer-implemented method of claim 1 , the method further comprising:
receiving, by the distributed analytics system and via the feedback component, feedback indicating whether the at least one detected possible drug misappropriation is an actual drug misappropriation.
4. The computer-implemented method of claim 3 , wherein the feedback received via the feedback component activates or deactivates a rule of the one or more rules or a pattern of the one or more drug dispensing patterns.
5. The computer-implemented method of claim 4 , wherein the feedback is received from a user using one or more graphical elements displayed on a graphical user interface.
6. The computer-implemented method of claim 1 , wherein detecting, by the distributed analytics system, the at least one drug misappropriation event corresponding to at least one of the plurality of dispensing events further includes:
determining, by the distributed analytics system, that the at least one of the plurality of dispensing events falls outside of a standard deviation of the one or more drug dispensing patterns; and
based on the determining, indicating, by the distributed analytics system, the at least one of the plurality of dispensing events as at least one misappropriation event.
7. The computer-implemented method of claim 1 , wherein the one or more dispensing logs identify at least one of: at least one employee of the plurality of users requesting dispensing of a drug, patient information, the drug being dispensed, an amount of the drug being dispensed, or wasting information.
8. The computer-implemented method of claim 1 , wherein the one or more rules relate to determining, based on the plurality of dispensing events, at least one of: a certain type of drug, a drug quantity, or a wasting of a certain drug type over a threshold amount over a period of time.
9. A distributed analytics system for processing drug dispensing data to determine a possible drug misappropriation, the system comprising:
at least one processor; and
at least one storage device storing instructions which, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
receiving drug dispensing data from one or more data sources, the one or more data sources comprising at least one of: one or more dispensing logs or one or more electronic medical records (EMRs) received from a healthcare provider network;
identifying a plurality of dispensing events by a plurality of users based at least in part on the one or more dispensing logs;
detecting at least one drug misappropriation event corresponding to at least one of the plurality of dispensing events based on at least one of one or more rules or one or more drug dispensing patterns;
determining at least one confidence level corresponding to the at least one detected possible drug misappropriation, wherein the at least one confidence level is based on at least one of which of the one or more rules the at least one detected possible drug misappropriation satisfies, which of the one or more drug dispensing patterns to which the at least one detected possible drug misappropriation relates, or a level of deviation of the at least one detected possible drug misappropriation from the one or more drug dispensing patterns; and
causing to display on an interface of a user device, by the distributed analytics system, an alert that includes:
detected possible drug misappropriation information of the at least one detected possible drug misappropriation and the at least one confidence level, and
a feedback component for receiving feedback that enables activation or deactivation of a rule of the one or more rules or a pattern of the one or more drug dispensing patterns.
10. The computer system of claim 9 , wherein the alert identifies a user of the plurality of users that dispensed the drug, a drug type, an drug amount, a wasting event, or prescription information.
11. The computer system of claim 9 , the operations further comprising:
receiving, via the feedback component, feedback indicating whether the at least one detected possible drug misappropriation is an actual drug misappropriation.
12. The computer system of claim 11 , wherein the feedback received via the feedback component activates or deactivates a rule of the one or more rules or a pattern of the one or more drug dispensing patterns.
13. The computer system of claim 4 , wherein the feedback is received from a user using one or more graphical elements displayed on a graphical user interface.
14. The computer system of claim 9 , wherein detecting the at least one misappropriation event corresponding to at least one of the plurality of dispensing events further includes:
determining that the at least one of the plurality of dispensing events falls outside of a standard deviation of the one or more drug dispensing patterns; and
based on the determining, indicating the at least one of the plurality of dispensing events as at least one misappropriation event.
15. The computer system of claim 9 , wherein the one or more dispensing logs identify at least one of: at least one employee of the plurality of users requesting dispensing of a drug, patient information, the drug being dispensed, an amount of the drug being dispensed, or wasting information.
16. The computer system of claim 9 , wherein the one or more rules relate to determining, based on the plurality of dispensing events, at least one of: a certain type of drug, a drug quantity, or a wasting of a certain drug type over a threshold amount over a period of time.
17. A non-transitory computer readable medium storing instructions which, when executed by at least one processor of a distributed analytics system, cause the at least one processor to perform operations for processing drug dispensing data to determine a possible drug misappropriation, the operations comprising:
receiving drug dispensing data from one or more data sources, the one or more data sources comprising at least one of: one or more dispensing logs or one or more electronic medical records (EMRs) received from a healthcare provider network;
identifying a plurality of dispensing events by a plurality of users based at least in part on the one or more dispensing logs;
detecting at least one drug misappropriation event corresponding to at least one of the plurality of dispensing events based on at least one of one or more rules or one or more drug dispensing patterns;
determining at least one confidence level corresponding to the at least one detected possible drug misappropriation, wherein the at least one confidence level is based on at least one of which of the one or more rules the at least one detected possible drug misappropriation satisfies, which of the one or more drug dispensing patterns to which the at least one detected possible drug misappropriation relates, or a level of deviation of the at least one detected possible drug misappropriation from the one or more drug dispensing patterns; and
causing to display on an interface of a user device, by the distributed analytics system, an alert that includes:
detected possible drug misappropriation information of the at least one detected possible drug misappropriation and the at least one confidence level, and
a feedback component for receiving feedback that enables activation or deactivation of a rule of the one or more rules or a pattern of the one or more drug dispensing patterns.
18. The non-transitory computer readable medium of claim 17 , the operations further comprising:
receiving, via the feedback component, feedback indicating whether the at least one detected possible drug misappropriation is an actual drug misappropriation.
19. The non-transitory computer readable medium of claim 18 , wherein the feedback received via the feedback component activates or deactivates a rule of the one or more rules or a pattern of the one or more drug dispensing patterns.
20. The non-transitory computer readable medium of claim 17 , wherein detecting the at least one drug misappropriation event corresponding to at least one of the plurality of dispensing events further includes:
determining that the at least one of the plurality of dispensing events falls outside of a standard deviation of the one or more drug dispensing patterns; and
based on the determining, indicating the at least one of the plurality of dispensing events as at least one misappropriation event.