Granted Patent B2

US 12,609,192 · App. 18/899,885 · Granted Apr 21, 2026

Inventors: William L. Avery (West Chicago, IL); Andrew J. Novotny (Whitefish Bay, WI); Meagan E. Harrison (Denver, CO); Nathanial C. Ziarek (Muskego, WI); Ryan G. Colwell (West Bend, WI); Anne F.B. Dorn (Fox Point, WI)

Assignee: Direct Supply, Inc.

G16H20/60G16H10/60G16H40/67

Abstract

Claims (64)

1 . A computer-implemented method, comprising:

receiving, over a communication network from a first computing device that is associated with a registered dietitian, a request for identifying information associated with each patient of a plurality of patients at a facility that require development of a medical nutrition therapy diet;

in response to receiving the request for identifying information associated with each patient that requires development of the medical nutrition therapy diet, retrieving, over the communication network from a second computing device, nutrition data associated with each patient comprising a previous medical nutrition therapy diet associated with each patient and data indicative of a dietary restriction associated with each patient;

causing the first computing device to present, via a user interface, the previous medical nutrition therapy diet associated with each patient and the data indicative of the dietary restriction associated with each patient;

causing the first computing device to prompt, via the user interface, the registered dietitian to review both the previous medical nutrition therapy diet and the data indicative of the dietary restriction associated with each patient;

receiving, from the first computing device based on input provided via the user interface, updated dietary restriction information comprising instructions to assign each patient to a respective type of medical nutrition therapy diet;

retrieving a food menu associated with the facility, the food menu comprising a food item and a recipe associated with the food item;

determining that the respective type of medical nutrition therapy diet assigned to at least one patient is not appropriate based on the recipe associated with the food item;

applying the food item and the respective type of medical nutrition therapy diet assigned to the at least one patient as input to a model to identify an alternative recipe that is appropriate for the respective type of medical nutrition therapy diet assigned to the patient based on an output of the model;

adding the alternative recipe for the food item to the food menu for the facility;

causing the food menu to be transmitted to a food service system such that the food item can be prepared for the at least one patient at the facility in accordance with the alternative recipe for the food item;

receiving outcome data comprising measurable physiological data that is indicative of the at least one patient's response to the respective type of medical nutrition therapy diet assigned to the at least one patient;

generating training data for the model using the outcome data; and

providing the training data to a third computing device associated with the model such that the model can be updated using the training data.

2 . The method of claim 1 , comprising:

causing the first computing device to present, via the user interface, the alternative recipe for the food item to the registered dietitian; and

receiving, from the first computing device based on input provided via the user interface, an approval of the alternative recipe for the food item from the registered dietitian,

wherein adding the alternative recipe for the food item to the food menu for the facility comprises adding the alternative recipe for the food item to the food menu for the facility responsive to receiving the approval of the alternative recipe for the food item from the registered dietitian.

3 . The method of claim 1 , wherein adding the alternative recipe for the food item to the food menu for the facility comprises automatically adding the alternative recipe for the food item to the food menu for the facility without input from the registered dietitian.

4 . The method of claim 1 , wherein the model is configured to identify an alternative product based on an alternative ingredient associated with the alternative recipe.

5 . The method of claim 1 , wherein determining that the respective type of medical nutrition therapy diet assigned to the at least one patient is not appropriate for the food item comprises determining that the respective type of medical nutrition therapy diet assigned to the at least one patient is not appropriate based on nutritional information for a product associated with an ingredient specified by the recipe associated with the food item.

6 . The method of claim 4 , wherein the model is configured to identify the alternative product as being available from a distributor that distributes the alternative product to the facility or as being included on an order guide associated with the facility.

7 . The method of claim 6 , wherein the model is configured to identify the alternative recipe based on nutritional information associated with the alternative product identified for the alternative recipe.

8 . The method of claim 7 , wherein the model is configured to identify the alternative recipe based on a cost of the alternative recipe that is determined based on pricing information associated with the alternative product identified for the alternative recipe.

9 . The method of claim 1 , comprising causing an order for products associated with the food menu to be placed for the facility.

10 . The method of claim 1 , comprising authenticating the registered dietitian based on specific licensing requirements associated with the facility prior to causing the first computing device to present the previous medical nutrition therapy diet associated with each patient and the data indicative of the dietary restriction associated with each patient.

11 . The method of claim 1 , wherein retrieving the previous medical nutrition therapy diet associated with each patient and the data indicative of the dietary restriction associated with each patient comprises retrieving the previous medical nutrition therapy diet associated with each patient and the data indicative of the dietary restriction associated with each patient from an electronic medical records system.

12 . The method of claim 1 , wherein the outcome data comprises data that is indicative of the at least one patient's weight at two or more points in time.

13 . The method of claim 1 , wherein the outcome data comprises data that is indicative of the at least one patient's blood glucose at two or more points in time.

14 . The method of claim 1 , comprising causing the first computing device to present, via the user interface, the outcome data to the registered dietitian.

15 . The method of claim 1 , wherein the model comprises a machine learning model.

16 . The method of claim 1 , comprising:

causing the first computing device to present, via the user interface, the food menu to the registered dietitian for approval; and

receiving, from the first computing device based on input provided via the user interface, an approval of the food menu for the facility from the registered dietitian,

wherein causing the food menu to be transmitted to the food service system comprises causing the food menu to be transmitted to the food service system responsive to receiving the approval of the food menu for the facility from the registered dietitian.

17 . A non-transitory computer-readable storage medium having instructions stored thereon that, when executed by processing circuitry, cause the processing circuitry to:

receive, over a communication network from a first computing device that is associated with a registered dietitian, a request for identifying information associated with each patient of a plurality of patients at a facility that require development of a medical nutrition therapy diet;

in response to receiving the request for identifying information associated with each patient that requires development of the medical nutrition therapy diet, retrieve, over the communication network from a second computing device, nutrition data associated with each patient comprising a previous medical nutrition therapy diet associated with each patient and data indicative of a dietary restriction associated with each patient;

cause the first computing device to present, via a user interface, the previous medical nutrition therapy diet associated with each patient and the data indicative of the dietary restriction associated with each patient;

cause the first computing device to prompt, via the user interface, the registered dietitian to review both the previous medical nutrition therapy diet and the data indicative of the dietary restriction associated with each patient;

receive, from the first computing device based on input provided via the user interface, updated dietary restriction information comprising instructions to assign each patient to a respective type of medical nutrition therapy diet;

retrieve a food menu associated with the facility, the food menu comprising a food item and a recipe associated with the food item;

determine that the respective type of medical nutrition therapy diet assigned to at least one patient is not appropriate for the food item based on the recipe associated with the food item;

apply the food item and the respective type of medical nutrition therapy diet assigned to the at least one patient as input to a model to identify an alternative recipe that is appropriate for the respective type of medical nutrition therapy diet assigned to the patient based on an output of the model;

add the alternative recipe for the food item to the food menu for the facility;

cause the food menu to be transmitted to a food service system such that the food item can be prepared for the at least one patient at the facility in accordance with the alternative recipe for the food item;

receive outcome data comprising measurable physiological data that is indicative of the at least one patient's response to the respective type of medical nutrition therapy diet assigned to the at least one patient;

generate training data for the model using the outcome data; and

provide the training data to a third computing device associated with the model such that the model can be updated using the training data.

18 . A system, comprising:

at least one hardware processor that is programmed to:

receive over a communication network from a first computing device that is associated with a registered dietitian, a request for identifying information associated with each patient of a plurality of patients at a facility that require development of a medical nutrition therapy diet;

in response to receiving the request for identifying information associated with each patient that requires development of the medical nutrition therapy diet, retrieve, over the communication network from a second computing device, nutrition data associated with each patient comprising a previous medical nutrition therapy diet associated with each patient and data indicative of a dietary restriction associated with each patient;

cause the first computing device to present, via a user interface, the previous medical nutrition therapy diet associated with each patient and the data indicative of the dietary restriction associated with each patient;

cause the first computing device to prompt, via the user interface, the registered dietitian to review both the previous medical nutrition therapy diet and the data indicative of the dietary restriction associated with the patient;

receive, from the first computing device based on input provided via the user interface, updated dietary restriction information comprising instructions to assign each patient to a respective type of medical nutrition therapy diet;

retrieve a food menu associated with the facility, the food menu comprising a food item and a recipe associated with the food item;

determine that the respective type of medical nutrition therapy diet assigned to at least one patient is not appropriate for the food item based on the recipe associated with the food item;

apply the food item and the respective type of medical nutrition therapy diet assigned to the at least one patient as input to a model to identify an alternative recipe that is appropriate for the respective type of medical nutrition therapy diet assigned to the at least one patient based on an output of the model;

add the alternative recipe for the food item to the food menu for the facility;

cause the food menu to be transmitted to a food service system such that the food item can be prepared for the at least one patient at the facility in accordance with the alternative recipe for the food item;

receive outcome data comprising measurable physiological data that is indicative of the at least one patient's response to the respective type of medical nutrition therapy diet assigned to the at least one patient;

generate training data for the model using the outcome data; and

provide the training data to a third computing device associated with the model such that the model can be updated using the training data.

Assignments (1)

Continuity (3)

References Cited (45)