Systems and methods are provided for managing medical adherence. An exemplary method may include managing medical adherence utilizing data aggregating and processing to determine impact on a user's health based on their behavior related to prescribed medication. The method may entail utilizing data related to a medication regimen and patient behavior to determine a patient's compliance to the regimen in terms of dosage and time. These values may be utilized to calculate a medical adherence value representing a patient's adherence to a prescribed regimen. Responsive to determining low medical adherence, a notification may be generated which may result in an intervention with the patient.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-implemented method for managing a patient's medical adherence, the method comprising: receiving, using a processor, data related to the patient, the data including information related to a prescribed medication regimen having one or more medications, patient behavior data, a respective literacy level associated with each of the one or more medications; calculating a compliance to dosage and a compliance to time for each of the one or more medications based on the received data; calculating a drug adherence count associated with each of the one or more medications by summing at least two of the compliance to dosage, the compliance to time, and the respective literacy level associated with each of the one or more medications; determining a daily medication adherence for each of the one or more medications; calculating a daily regimen adherence value by summing the daily medication adherence of all of the one or more medications in the medication regimen; calculating a daily regimen baseline value by re-calculating the daily regimen adherence value by utilizing a maximum potential value for the drug adherence count for each of the respective medications in the regimen associated with the patient; determining a medical adherence value based on the daily regimen adherence value and the daily regimen baseline value; and comparing the medical adherence with a threshold value. 2. The computer-implemented method of claim 1, further comprising: generating a notification when the medial adherence value is less than the threshold value. 3. The computer-implemented method of claim 2, further comprising: transmitting the generated notification to one or more user devices; 4. The computer-implemented method of claim 3, wherein the generated notification contains one or more intervention options. 5. The computer-implemented method of claim 1, wherein: receiving data related to the patient further comprises receiving a respective drug importance factor associated with each of the one or more medications; and determining a daily medication adherence for each of the one or more medications comprises determining the daily medication adherence for each of the one or more medications based on the drug adherence count and the drug importance factor associated with each of the one or more medications. 6. The computer-implemented method of claim 5, wherein determining the daily medication adherence for each of the one or more medications based on the drug adherence count and the drug importance factor associated with each of the one or more medications comprises multiplying the drug adherence count and the drug importance factor. 7. The computer-implemented method of claim 1, wherein calculating the compliance to dosage comprises: determining a prescribed dosage for each of the one or more medications; assigning dosage boolean values for actual dosage consumed based on the prescribed dosage and the received data; and calculating the compliance to dosage based on the assigned dosage boolean values. 8. The computer-implemented method of claim 7, wherein calculating the compliance to time comprises: determining a prescribed dosage time for each of the one or more medications; assigning time boolean values for actual consumption time based on the prescribed dosage time and the received data; and calculating the compliance to time based on the assigned time boolean values. 9. The computer-implemented method of claim 1, further comprising: assigning a unique regimen identity to the regimen; and assigning respective unique medication identities to each of the one or more medications based on the unique regimen identity. 10. A system for managing medical adherence, the system comprising: a memory having processor-readable instructions stored therein; and a processor configured to access the memory and execute the processor-readable instructions, which when executed by the processor configures the processor to perform a method, the method comprising: receiving data related to the patient, the data including information related to a prescribed medication regimen having one or more medications, patient behavior data, a respective literacy level associated with each of the one or more medications; calculating a compliance to dosage and a compliance to time for each of the one or more medications based on the received data; calculating a drug adherence count associated with each of the one or more medications by summing at least two of the compliance to dosage, the compliance to time, and the respective literacy level associated with each of the one or more medications; determining a daily medication adherence for each of the one or more medications; calculating a daily regimen adherence value by summing the daily medication adherence of all of the one or more medications in the medication regimen; calculating a daily regimen baseline value by re-calculating the daily regimen adherence value by utilizing a maximum potential value for the drug adherence count for each of the respective medications in the regimen associated with the patient; determining a medical adherence value based on the daily regimen adherence value and the daily regimen baseline value; and comparing the medical adherence with a threshold value. 11. The system of claim 10, wherein the method further comprises: generating a notification when the medial adherence value is less than the threshold value. 12. The system of claim 11, wherein the method further comprises: transmitting the generated notification to one or more user devices; 13. The system of claim 12, wherein the generated notification contains one or more intervention options. 14. The system of claim 13, wherein: receiving data related to the patient further comprises receiving a respective drug importance factor associated with each of the one or more medications; and determining a daily medication adherence for each of the one or more medications comprises determining the daily medication adherence for each of the one or more medications based on the drug adherence count and the drug importance factor associated with each of the one or more medications. 15. The system of claim 14, wherein determining the daily medication adherence for each of the one or more medications based on the drug adherence count and the drug importance factor associated with each of the one or more medications comprises multiplying the drug adherence count and the drug importance factor. 16. The system of claim 10, wherein calculating the compliance to dosage comprises: determining a prescribed dosage for each of the one or more medications; assigning dosage boolean values for actual dosage consumed based on the prescribed dosage and the received data; and calculating the compliance to dosage based on the assigned dosage boolean values. 17. The system of claim 16, wherein calculating the compliance to time comprises: determining a prescribed dosage time for each of the one or more medications; assigning time boolean values for actual consumption time based on the prescribed dosage time and the received data; and calculating the compliance to time based on the assigned time boolean values. 18. The system of claim 10, wherein the method further comprises: assigning a unique regimen identity to the regimen; and assigning respective unique medication identities to each of the one or more medications based on the unique regimen identity. 19. A non-transitory computer-readable medium storing instructions, then instructions, when executed by a computer system cause the computer system to perform a method, the method comprising: receiving, using a processor, data related to the patient, the data including information related to a prescribed medication regimen having one or more medications, patient behavior data, a respective literacy level associated with each of the one or more medications; calculating a compliance to dosage and a compliance to time for each of the one or more medications based on the received data; calculating a drug adherence count associated with each of the one or more medications by summing at least two of the compliance to dosage, the compliance to time, and the respective literacy level associated with each of the one or more medications; determining a daily medication adherence for each of the one or more medications; calculating a daily regimen adherence value by summing the daily medication adherence of all of the one or more medications in the medication regimen; calculating a daily regimen baseline value by re-calculating the daily regimen adherence value by utilizing a maximum potential value for the drug adherence count for each of the respective medications in the regimen associated with the patient; determining a medical adherence value based on the daily regimen adherence value and the daily regimen baseline value; and comparing the medical adherence with a threshold value. 20. The non-transitory computer-readable medium of claim 19, wherein the method further comprises: generating a notification when the medial adherence value is less than the threshold value. 21. The non-transitory computer-readable medium of claim 20, wherein the method further comprises: transmitting the generated notification to one or more user devices; 22. The non-transitory computer-readable medium of claim 21, wherein the generated notification contains one or more intervention options. 23. The non-transitory computer-readable medium of claim 19, wherein: receiving data related to the patient further comprises receiving a respective drug importance factor associated with each of the one or more medications; and determining a daily medication adherence for each of the one or more medications comprises determining the daily medication adherence for each of the one or more medications based on the drug adherence count and the drug importance factor associated with each of the one or more medications. 24. The non-transitory computer-readable medium of claim 23, wherein determining the daily medication adherence for each of the one or more medications based on the drug adherence count and the drug importance factor associated with each of the one or more medications comprises multiplying the drug adherence count and the drug importance factor. 25. The non-transitory computer-readable medium of claim 19, wherein calculating the compliance to dosage comprises: determining a prescribed dosage for each of the one or more medications; assigning dosage boolean values for actual dosage consumed based on the prescribed dosage and the received data; and calculating the compliance to dosage based on the assigned dosage boolean values. 26. The non-transitory computer-readable medium of claim 25, wherein calculating the compliance to time comprises: determining a prescribed dosage time for each of the one or more medications; assigning time boolean values for actual consumption time based on the prescribed dosage time and the received data; and calculating the compliance to time based on the assigned time boolean values. 27. The non-transitory computer-readable medium of claim 19, wherein the method further comprises: assigning a unique regimen identity to the regimen; and assigning respective unique medication identities to each of the one or more medications based on the unique regimen identity.