Advising diabetes treatments
A method for managing glucose levels of a patient under the supervision of a healthcare professional (HCP). The method includes obtaining patient information for the patient, the patient information comprising patient medication data, patient monitoring data, and patient characteristic data. The method also includes creating a patient risk profile based on the patient information. The method also includes determining a likelihood that the patient will experience hyperglycemic effects based on the patient risk profile. The method also includes determining an optimum treatment plan for the patient based on the patient risk profile and the likelihood that the patient will experience hyperglycemic effects. The method also includes executing the optimum treatment plan.
1 . A computer-implemented method executed on data processing hardware that causes the data processing hardware to perform operations comprising:
obtaining patient medication data comprising a current medications list including a list of medications a patient is currently prescribed, wherein at least one medication in the list of medications is not a medication for treating diabetes;
for each corresponding medication in the current medications list, determining corresponding risk profile characteristic data indicating a list of patient characteristics associated with hyperglycemia for patients receiving the corresponding medication and an amount of risk that the corresponding medication may cause increased hyperglycemia, wherein the amount of risk is determined based on a tiered glycemic formulary database organized in ranked tiers based upon a severity and likelihood that the corresponding medication will induce a hyperglycemic effect on the patient;
determining a likelihood that the patient will experience hyperglycemic effects based on the corresponding risk profile characteristic data determined for each corresponding medication in the list of medications the patient is currently prescribed;
determining an optimum treatment plan for the patient based on the likelihood that the patient will experience hyperglycemic effects, the optimum treatment plan comprising a recommended dosage of a particular medication, the particular medication comprising an anti-diabetes medication or insulin; and
transmitting instructions to an administration device associated with the patient to administer the recommended dosage of the particular medication to the patient, the instructions causing the administration device to administer the recommended dosage of the particular medication to the patient.
2 . The method of claim 1 , wherein the operations further comprise transmitting the optimum treatment plan to at least one of a patient device associated with the patient or a healthcare professional (HCP) device associated with a HCP supervising treatment of the patient.
3 . The method of claim 1 , wherein the patient is diagnosed with one of Type 1 diabetes mellitus, Type 2 diabetes mellitus, gestational diabetes mellitus, non-diabetic stress hyperglycemia, Maturity Onset Diabetes of the Young (MODY), Latent Autoimmune Diabetes in Adults (LADA), or unknown.
4 . The method of claim 1 , wherein the patient medication data further comprises corresponding dosages for the list of medications the patient is currently prescribed.
5 . The method of claim 1 , wherein the patient medication data comprises a drug name, a dosage, a route of administration, a frequency, and a time of administration of any medications in the current medications list known to impact patient glucose levels that the patient is currently prescribed.
6 . The method of claim 1 , wherein the operations further comprise:
obtaining patient monitoring data for the patient, the patient monitoring data comprising at least one of:
one or more glucose values for the patient; or
an A1c value for the patient,
wherein determining the likelihood that the patient will experience hyperglycemic effects is further based on the patient monitoring data for the patient.
7 . The method of claim 1 , wherein the operations further comprise:
obtaining patient characteristic data for the patient,
wherein determining the likelihood that the patient will experience hyperglycemic effects is further based on the patient characteristic data for the patient.
8 . The method of claim 7 , wherein the patient characteristic data comprises at least one of:
nutrition order data associated with the patient;
a medical administration record (MAR) associated with the patient;
an electronic medical record (EMR) associated with the patient; or
laboratory information system (LIS) data associated with the patient.
9 . The method of claim 7 , wherein the operations further comprise:
creating a patient risk profile for the patient based on the patient medication data and the patient characteristic data,
wherein determining the optimum treatment plan for the patient based on the likelihood that the patient will experience hyperglycemic effects is further based on the patient risk profile.
10 . The method of claim 9 , wherein creating the patient risk profile is further based on medical literature.
11 . A system comprising:
data processing hardware; and
memory hardware in communication with the data processing hardware and storing instructions that, when executed by the data processing hardware, causes the data processing hardware to perform operations comprising:
obtaining patient medication data comprising a current medications list including a list of medications a patient is currently prescribed, wherein at least one medication in the list of medications is not a medication for treating diabetes;
for each corresponding medication in the current medications list, determining corresponding risk profile characteristic data indicating a list of patient characteristics associated with hyperglycemia for patients receiving the corresponding medication and an amount of risk that the corresponding medication may cause increased hyperglycemia, wherein the amount of risk is determined based on a tiered glycemic formulary database organized in ranked tiers based upon a severity and likelihood that the corresponding medication will induce a hyperglycemic effect on the patient;
determining a likelihood that the patient will experience hyperglycemic effects based on the corresponding risk profile characteristic data determined for each corresponding medication in the list of medications the patient is currently prescribed;
determining an optimum treatment plan for the patient based on the likelihood that the patient will experience hyperglycemic effects, the optimum treatment plan comprising a recommended dosage of a particular medication, the particular medication comprising an anti-diabetes medication or insulin; and
transmitting instructions to an administration device associated with the patient to administer the recommended dosage of the particular medication to the patient, the instructions causing the administration device to administer the recommended dosage of the particular medication to the patient.
12 . The system of claim 11 , wherein the operations further comprise transmitting the optimum treatment plan to at least one of a patient device associated with the patient or a healthcare professional (HCP) device associated with a HCP supervising treatment of the patient.
13 . The system of claim 11 , wherein the patient is diagnosed with one of Type 1 diabetes mellitus, Type 2 diabetes mellitus, gestational diabetes mellitus, non-diabetic stress hyperglycemia, Maturity Onset Diabetes of the Young (MODY), Latent Autoimmune Diabetes in Adults (LADA), or unknown.
14 . The system of claim 11 , wherein the patient medication data further comprises corresponding dosages for the list of medications the patient is currently prescribed.
15 . The system of claim 11 , wherein the patient medication data comprises a drug name, a dosage, a route of administration, a frequency, and a time of administration of any medications in the current medications list known to impact patient glucose levels that the patient is currently prescribed.
16 . The system of claim 11 , wherein the operations further comprise:
obtaining patient monitoring data for the patient, the patient monitoring data comprising at least one of:
one or more glucose values for the patient; or
an A1c value for the patient,
wherein determining the likelihood that the patient will experience hyperglycemic effects is further based on the patient monitoring data for the patient.
17 . The system of claim 11 , wherein the operations further comprise:
obtaining patient characteristic data for the patient,
wherein determining the likelihood that the patient will experience hyperglycemic effects is further based on the patient characteristic data for the patient.
18 . The system of claim 17 , wherein the patient characteristic data comprises at least one of:
nutrition order data associated with the patient;
a medical administration record (MAR) associated with the patient;
an electronic medical record (EMR) associated with the patient; or
laboratory information system (LIS) data associated with the patient.
19 . The system of claim 17 , wherein the operations further comprise:
creating a patient risk profile for the patient based on the patient medication data and the patient characteristic data,
wherein determining the optimum treatment plan for the patient based on the likelihood that the patient will experience hyperglycemic effects is further based on the patient risk profile.
20 . The system of claim 19 , wherein creating the patient risk profile is further based on medical literature.