Proactive image-based infusion device delivery adjustments

1. A non-transitory computer-readable medium having instructions stored thereon that, when executed by a processor, cause the processor to:

analyze one or more images captured by an imaging device to identify image content indicative of a meal capable of influencing a physiological condition of a patient; and

in response to identifying the meal based at least in part on the one or more images:

determine nutritional information for the meal based at least in part on the one or more images; and

automatically adjust one or more closed-loop control parameters of a medical device based at least in part on the nutritional information to account for a predicted postprandial glycemic response based on the nutritional information for the meal, resulting in one or more adjusted closed-loop control parameters, wherein the medical device is configured to deliver a fluid to the patient in accordance with the one or more adjusted closed-loop control parameters.

2. The computer-readable medium of claim 1 , wherein the instructions cause the processor to provide the one or more adjusted closed-loop control parameters to the medical device via a network.

3. The computer-readable medium of claim 1 , wherein the instructions cause the processor to determine an increased bolus dosage amount of the fluid for delivery by the medical device by scaling a carbohydrate ratio when the nutritional information comprises more carbohydrates relative to an amount of fat.

4. The computer-readable medium of claim 1 , wherein the instructions cause the processor to command a closed-loop control system of the medical device to temporarily suspend delivery of the fluid when the nutritional information comprises more carbohydrates relative to an amount of fat.

5. The computer-readable medium of claim 1 , wherein the instructions cause the processor to determine a decreased bolus dosage amount of the fluid for delivery by the medical device by scaling a carbohydrate ratio when the nutritional information comprises more fat relative to an amount of carbohydrates.

6. The computer-readable medium of claim 1 , wherein the instructions cause the processor to command a closed-loop control system of the medical device to utilize a lower target glucose value to temporarily increase delivery of the fluid by the closed-loop control system of the medical device when the nutritional information comprises more fat relative to an amount of carbohydrates.

7. The computer-readable medium of claim 1 , wherein the instructions cause the processor to provide an overlay including a graphical indication of the one or more adjusted closed-loop control parameters on a display associated with an electronic device including the imaging device.

8. The computer-readable medium of claim 1 , wherein the instructions cause the processor to command a control system of the medical device to dynamically adjust delivery of the fluid based on one or more subsequent images captured by the imaging device.

9. The computer-readable medium of claim 1 , the nutritional information comprising an expected amount of carbohydrates, wherein the instructions cause the processor to:

determine a consumed amount of carbohydrates based on one or more subsequent images captured by the imaging device; and

command a control system of the medical device to dynamically adjust delivery of the fluid based on a difference between the expected amount of carbohydrates and the consumed amount of carbohydrates.

10. The computer-readable medium of claim 1 , wherein the instructions cause the processor to determine an adjusted bolus dosage amount based on the nutritional information.

11. The computer-readable medium of claim 1 , wherein the instructions cause the processor to determine an adjusted bolus delivery schedule based on the nutritional information.

12. The computer-readable medium of claim 1 , wherein:

the one or more adjusted closed-loop control parameters comprise an adjusted gain coefficient; and

the medical device autonomously delivers the fluid to the patient based at least in part on a difference between a current measurement of the physiological condition and a target value for the physiological condition using the adjusted gain coefficient.

13. The computer-readable medium of claim 1 , wherein the one or more adjusted closed-loop control parameters tune responsiveness of a closed-loop control system of the medical device to deviations between a current measurement of the physiological condition and a target value for the physiological condition.

14. The computer-readable medium of claim 1 , wherein the instructions cause the processor to automatically adjust the one or more closed-loop control parameters by increasing at least one of a minimum basal rate setting and a maximum basal rate setting during a postprandial period.

15. The computer-readable medium of claim 1 , wherein:

the one or more adjusted closed-loop control parameters comprise an adjusted target value for the physiological condition; and

the medical device autonomously delivers the fluid to the patient based at least in part on a difference between a current measurement of the physiological condition and the adjusted target value.

16. The computer-readable medium of claim 15 , wherein the instructions cause the processor to automatically decreasing a target value for the physiological condition in advance of the meal resulting in the adjusted target value to achieve an increased infusion rate.

17. An electronic device comprising:

an imaging device;

a data storage element having executable instructions stored thereon; and

a processor coupled to the imaging and the data storage element, wherein the executable instructions cause the processor to:

analyze one or more images captured by the imaging device to identify image content indicative of a meal capable of influencing a physiological condition of a patient; and

in response to identifying the meal based at least in part on the one or more images:

determine nutritional information for the meal based at least in part on the one or more images; and

automatically adjust one or more closed-loop control parameters of a medical device based at least in part on the nutritional information to account for a predicted postprandial glycemic response based on the nutritional information for the meal, resulting in one or more adjusted closed-loop control parameters, wherein the medical device delivers a fluid to the patient in accordance with the one or more adjusted closed-loop control parameters.

18. The electronic device of claim 17 , further comprising a display coupled to the processor, wherein the instructions cause the processor to display an augmented reality graphical user interface (GUI) display including a graphical indication of the one or more adjusted closed-loop control parameters on the display.

19. A method of operating a medical device capable of delivering a fluid to a patient, the fluid influencing a physiological condition of the patient, the method comprising:

analyzing one or more images captured by an imaging device to identify image content indicative of a meal capable of influencing the physiological condition of the patient; and

in response to identifying the meal based at least in part on the one or more images:

determining, by a control system of an electronic device including the imaging device, nutritional information for the meal based at least in part on the one or more images; and

automatically adjusting, by the control system, one or more closed-loop control parameters of the medical device based at least in part on the nutritional information to account for a predicted postprandial glycemic response based on the nutritional information for the meal, resulting in one or more adjusted closed-loop control parameters, wherein the medical device autonomously delivers the fluid to the patient in accordance with the one or more adjusted closed-loop control parameters.

20. The method of claim 19 , further comprising providing the one or more adjusted closed-loop control parameters to the medical device via a network.