Systems and methods for determining insulin therapy for a patient
Abstract
In example methods and systems described, insulin therapy for a patient can be determined. At least one of a short-acting subcutaneous insulin dosage recommendation, a correction subcutaneous insulin dosage recommendation, an intravenous insulin dosage recommendation, a recommended amount of carbohydrates to be administered to the patient, or combinations thereof, can be determined. In addition, information indicating a confirmation of a nutrition intake for the patient, and a long-acting insulin-on-board for the patient can be received, and based on this information, a required long-acting subcutaneous or intravenous insulin dosage for the patient can be determined. The short-acting subcutaneous or intravenous insulin dosage recommendation can be adjusted based, at least in part, on a difference between the long-acting insulin-on-board and the required long-acting subcutaneous or intravenous insulin dosage.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A non-transitory computer readable medium having stored therein instructions executable by a computing device to cause the computing device to perform functions comprising:
receive a selection from a user of an insulin dosing model; prompt the user to provide information specific to a patient based on the selection; generate an insulin dosage recommendation based on the selection and the information specific to the patient; and provide a graphical user interface customized to the insulin dosing model and configured to display the insulin dosage recommendation to the user.
2 . The non-transitory computer readable medium of claim 1 , wherein the insulin dosing model comprises an intravenous insulin dosing model and the insulin dosage recommendation comprises an intravenous insulin dosage recommendation.
3 . The non-transitory computer readable medium of 2 , wherein the information specific to the patient comprises a current insulin infusion rate and a glucose measurement used to determine the current insulin infusion rate.
4 . The non-transitory computer readable medium of claim 1 , wherein the insulin dosing model comprises a subcutaneous insulin dosing model and the insulin dosage recommendation comprises a subcutaneous insulin dosage recommendation.
5 . The non-transitory computer readable medium of claim 4 , wherein the information specific to the patient comprises a total basal insulin units administered per day and a total bolus insulin units administered per day.
6 . The non-transitory computer readable medium of claim 1 , wherein the insulin dosing model comprises a starting insulin dosing model and the insulin dosage recommendation comprises an intravenous insulin dosage recommendation or a subcutaneous insulin dosage recommendation.
7 . The non-transitory computer readable medium of claim 6 , wherein the information specific to the patient comprises demographic information and clinical information.
8 . The non-transitory computer readable medium of claim 1 , wherein the information specific to the patient comprises a diabetes diagnosis, a potassium level, a weight, a targeted blood glucose range, a creatinine level, a date of birth, a sex, or combinations thereof.
9 . The non-transitory computer readable medium of claim 1 , wherein the instructions are executable to cause the computing device to further perform functions comprising:
receive additional information specific to the patient from a hospital information system communicatively coupled to the computing device.
10 . The non-transitory computer readable medium of claim 1 , wherein the instructions are executable to cause the computing device to further perform functions comprising:
disseminate an order embodying the insulin dosage recommendation to various locations within a hospital equipped to execute the order.
11 . The non-transitory computer readable medium of claim 1 , wherein the instructions are executable to cause the computing device to further perform functions comprising:
receive a current glucose level from a continuous glucose monitor connected to the patient.
12 . The non-transitory computer readable medium of claim 1 , wherein the insulin dosage recommendation is executable by an insulin delivery device.
13 . The non-transitory computer readable medium of claim 1 , wherein the instructions are executable to cause the computing device to further perform functions comprising:
generate a carbohydrate dosage recommendation based at least in part on the information specific to the patient.
14 . The non-transitory computer readable medium of claim 1 , wherein the instructions are executable to cause the computing device to further perform functions comprising:
generate an instruction indicating when a next glucose measurement should be obtained.
15 . The non-transitory computer readable medium of claim 1 , wherein the instructions are executable to cause the computing device to further perform functions comprising:
cause the graphical user interface to display a request for additional information, a therapy recommendation, or both when an unexpected glucose value is measured after the insulin dosage recommendation is implemented.
16 . The non-transitory computer readable medium of claim 1 , wherein the instructions are executable to cause the computing device to further perform functions comprising:
cause the graphical user interface to display a first interface when the insulin dosing model comprises an intravenous insulin doing model and a second interface, different from the first, when the insulin dosing model comprises a subcutaneous insulin dosing model.
17 . The non-transitory computer readable medium of claim 1 , wherein the instructions are executable to cause the computing device to further perform functions comprising:
receive a selection of a hospital and a selection of a unit within the hospital where the patient is located.
18 . The non-transitory computer readable medium of claim 1 , wherein the instructions are executable to cause the computing device to further perform functions comprising:
determine that a most recent glucose measurement was received longer than a maximum length of time before a current time, wherein the insulin dosing model comprises a restarting insulin dosing model.
19 . The non-transitory computer readable medium of claim 1 , wherein the instructions are executable to cause the computing device to further perform functions comprising:
generate an alert for visual display or audible transmission to the user when a glucose check is past due.
20 . The non-transitory computer readable medium of claim 1 , wherein the instructions are executable to cause the computing device to operate without connecting to a server or a hospital information system.Cited by (0)
No later patents cite this yet.
References (0)
No backward citations on record.