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 dispensing logs, the one or more dispensing logs identifying at least one of: at least one employee of a plurality of employees requesting dispensing of a drug, patient information regarding a patient, the drug being dispensed, or an amount of the drug being dispensed;
identifying, by the distributed analytics system, one or more drug wasting events by the at least one employee of the plurality of employees based at least in part on the one or more dispensing logs, the one or more drug wasting events each comprising an event where the drug is dispensed but not administered to the patient;
determining, by the distributed analytics system, that one of the one or more drug wasting events constitutes a drug misappropriation event based on at least one of:
one or more rules applied by a rule applying component of the distributed analytics system, or
a pattern analysis applied by a data patterning component of the distributed analytics system; and
causing to display, by the distributed analytics system, an alert on a graphical user interface (GUI), wherein the alert facilitates further investigation by causing the GUI to display additional information of the drug misappropriation event.
2. The computer-implemented method of claim 1 , wherein determining that one of the one or more drug wasting events constitutes a drug misappropriation event includes:
analyzing, by the rule applying component of the distributed analytics system, the drug dispensing data to detect one or more parameters;
determining, by the rule applying component, that the one or more parameters exceed one or more predetermined thresholds; and
in response to determining that the one or more parameters exceed the one or more predetermined thresholds, identifying, by the data patterning component, the one of the one or more drug wasting events as the drug misappropriation event.
3. The computer-implemented method of claim 1 , wherein determining that one of the one or more drug wasting events constitutes a drug misappropriation event based on the pattern analysis includes:
analyzing, by the data patterning component of the distributed analytics system, the drug dispensing data to detect one or more patterns;
determining, by the data patterning component, that the one of the one or more drug wasting events is inconsistent with the one or more patterns; and
in response to determining that the one of the one or more drug wasting events is inconsistent with the one or more patterns, identifying, by the data patterning component, the one of the one or more drug wasting events as the drug misappropriation event.
4. The computer-implemented method of claim 3 , the method further comprising:
updating, by the data patterning component, the one or more patterns based on at least one change in the drug dispensing data.
5. The computer-implemented method of claim 1 , the method further comprising:
transmitting, by a data analytics component of the distributed analytics system, data associated with the drug misappropriation event to a product database of the distributed analytics system.
6. The computer-implemented method of claim 5 , wherein upon the data associated with the drug misappropriation event being transmitted to the product database, the distributed analytics system becomes accessible by one or more user devices to view the drug misappropriation event.
7. The computer-implemented method of claim 6 , the method further comprising:
causing to display, by the distributed analytics system, at least a portion of the data associated with the drug misappropriation event on a graphical user interface (GUI) upon retrieving the data associated with the drug misappropriation event from the product database.
8. The computer-implemented method of claim 1 , wherein the alert identifies one or more of: the at least one employee, a type of the drug, the amount of the drug, prescription information, or other dispensing events by the at least one employee.
9. A system for processing drug dispensing data to determine a possible drug misappropriation, the system comprising:
at least one processor; and
at least one storage comprising instructions which, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
receiving, by a distributed analytics system, drug dispensing data from one or more dispensing logs, the one or more dispensing logs identifying at least one of: at least one employee of a plurality of employees requesting dispensing of a drug, patient information regarding a patient, the drug being dispensed, or an amount of the drug being dispensed;
identifying, by the distributed analytics system, one or more drug wasting events by the at least one employee of the plurality of employees based at least in part on the one or more dispensing logs, the one or more drug wasting events each comprising an event where the drug is dispensed but not administered to the patient;
determining, by the distributed analytics system, that one of the one or more drug wasting events constitutes a drug misappropriation event based on at least one of:
one or more rules applied by a rule applying component of the distributed analytics system, or
a pattern analysis applied by a data patterning component of the distributed analytics system; and
causing to display, by the distributed analytics system, an alert on a graphical user interface (GUI), wherein the alert facilitates further investigation by causing the GUI to display additional information of the drug misappropriation event.
10. The system of claim 9 , wherein determining that one of the one or more drug wasting events constitutes a drug misappropriation event includes:
analyzing, by the rule applying component of the distributed analytics system, the drug dispensing data to detect one or more parameters;
determining, by the rule applying component, that the one or more parameters exceed one or more predetermined thresholds; and
in response to determining that the one or more parameters exceed the one or more predetermined thresholds, identifying, by the data patterning component, the one of the one or more drug wasting events as the drug misappropriation event.
11. The system of claim 9 , wherein determining that one of the one or more drug wasting events constitutes a drug misappropriation event based on the pattern analysis includes:
analyzing, by the data patterning component of the distributed analytics system, the drug dispensing data to detect one or more patterns;
determining, by the data patterning component, that the one of the one or more drug wasting events is inconsistent with the one or more patterns; and
in response to determining that the one of the one or more drug wasting events is inconsistent with the one or more patterns, identifying, by the data patterning component, the one of the one or more drug wasting events as the drug misappropriation event.
12. The system of claim 9 , the operations further comprising:
updating, by the data patterning component, the one or more patterns based on at least one change in the drug dispensing data.
13. The system of claim 9 , the operations further comprising:
transmitting, by a data analytics component of the distributed analytics system, data associated with the drug misappropriation event to a product database of the distributed analytics system.
14. The system of claim 13 , wherein upon the data associated with the drug misappropriation event being transmitted to the product database, the distributed analytics system becomes accessible by one or more user devices to view the drug misappropriation event.
15. A non-transitory computer readable medium storing instructions which, when executed by at least one processor, cause the at least one processor to perform operations for processing drug dispensing data to determine a possible drug misappropriation, the operations comprising:
receiving, by a distributed analytics system, drug dispensing data from one or more dispensing logs, the one or more dispensing logs identifying at least one of: at least one employee of a plurality of employees requesting dispensing of a drug, patient information regarding a patient, the drug being dispensed, or an amount of the drug being dispensed;
identifying, by the distributed analytics system, one or more drug wasting events by the at least one employee of the plurality of employees based at least in part on the one or more dispensing logs, the one or more drug wasting events each comprising an event where the drug is dispensed but not administered to the patient;
determining, by the distributed analytics system, that one of the one or more drug wasting events constitutes a drug misappropriation event based on at least one of:
one or more rules applied by a rule applying component of the distributed analytics system, or
a pattern analysis applied by a data patterning component of the distributed analytics system; and
causing to display, by the distributed analytics system, an alert on a graphical user interface (GUI), wherein the alert facilitates further investigation by causing the GUI to display additional information of the drug misappropriation event.
16. The non-transitory computer readable medium of claim 15 , wherein determining that the one of the one or more drug wasting events constitutes a drug misappropriation event includes:
analyzing, by the rule applying component of the distributed analytics system, the drug dispensing data to detect one or more parameters;
determining, by the rule applying component, whether the one or more parameters exceed one or more predetermined thresholds; and
in response to determining that the one or more parameters exceed the one or more predetermined thresholds, identifying, by the data patterning component, the one of the one or more drug wasting events as the drug misappropriation event.
17. The non-transitory computer readable medium of claim 15 , wherein determining that one of the one or more drug wasting events constitutes a drug misappropriation event based on the pattern analysis includes:
analyzing, by the data patterning component of the distributed analytics system, the drug dispensing data to detect one or more patterns;
determining, by the data patterning component, whether the one of the one or more drug wasting events is inconsistent with the one or more patterns; and
in response to determining that the one of the one or more drug wasting events is inconsistent with the one or more patterns, identifying, by the data patterning component, the one of the one or more drug wasting events as the drug misappropriation event.
18. The non-transitory computer readable medium of claim 15 , the operations further comprising:
updating, by the data patterning component, the one or more patterns based on at least one change in the drug dispensing data.
19. The non-transitory computer readable medium of claim 15 , the operations further comprising:
transmitting, by a data analytics component of the distributed analytics system, data associated with the drug misappropriation event to a product database of the distributed analytics system.
20. The non-transitory computer readable medium of claim 19 , wherein upon the data associated with the drug misappropriation event being transmitted to the product database, the distributed analytics system becomes accessible by one or more user devices to view the drug misappropriation event.