Medical advisory system

• US 20060253296A1
• Filed: 04/25/2006
• Published: 11/09/2006
• Est. Priority Date: 10/29/2003
• Status: Abandoned Application

• Current Assignee: Novo Nordisk A/S
• Original Assignee: Novo Nordisk A/S
• Inventors: Liisberg, Christian, Randlov, Jette, Poulsen, Jens Ulrik, Hansen, Jon Ulrich
• Application Number:
  US11/410,450
• Publication Number:
  US 20060253296A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

Disclosed is a medical advisory system for providing recommendations to a user for actions to be taken. The system comprises input means for receiving a number of input parameters, processing means configured to determine from at least the input parameters a recommended action to be taken, and output means for presenting information about the determined recommended action to a user. The processing means is configured to implement a plurality of mathematical advisory models each adapted to generate a respective model output from the received input parameters. The processing means is configured to determine the recommended action from the model output of one or more of the plurality of mathematical advisory models.

Claims

1. A medical advisory system for providing recommendations to a user for actions to be taken, the system comprising:

input means for receiving a number of input parameters;

processing means configured to determine from at least the input parameters a recommended action to be taken; and

output means for presenting information about the determined recommended action to a user;

wherein the processing means is configured to implement a plurality of mathematical advisory models each adapted to generate a respective model output from the received input parameters; and

wherein the processing means is configured to determine the recommended action from the model output of one or more of the plurality of mathematical advisory models.

2. A medical advisory system according to claim 1, wherein the plurality of mathematical advisory models comprises at least a first advisory model and a fall-back model;

wherein the processing means is configured to select one of the first advisory model and the fall-back model based upon at least one of an input to and a model output of at least the first advisory model; and

wherein the processing means is further configured to determine the recommended action from the selected model.

3. A medical advisory system according to claim 2, wherein the processing means is configured to determine a reliability measure for the model output of at least the first advisory model;

and wherein the processing means is further configured to determine the recommended action from at least the first advisory model, if the determined reliability measure is above a predetermined threshold, and to determine the recommended action from said fall-back model, if the determined reliability measure is below the predetermined threshold.

4. A medical advisory system according to claim 2, wherein the fall-back model comprises a rule-based fall-back model.

5. A medical advisory system according to claim 3, wherein the rule-based fall-back model comprises an exhaustive list of ranges of input parameters and one or more respective recommended fall-back actions for each of the ranges of input parameters.

6. A medical advisory system according to claim 1, wherein the processing means is adapted to determine the reliability measure from a comparison of at least a first model output of the first advisory model with at least a second model output of a second one of the plurality of mathematical advisory models.

7. A medical advisory system according to claim 1, wherein the processing means is adapted to determine respective model outputs of each of at least a subset of the advisory models, the subset comprising a plurality of mutually different models, and to determine the recommended action from a combination of the determined model outputs.

8. A medical advisory system according to claim 1, wherein at least one of the plurality of mathematical advisory models is an adaptive mathematical model.

9. A medical advisory system according to claim 1, wherein at least one of the plurality of mathematical advisory models comprises a plurality of look-up tables, a corresponding plurality of address decoder modules, and a combiner module;

wherein each look-up table includes a corresponding plurality of columns, each column comprising a plurality of table entries;

wherein each of the address decoders is adapted to determine one of the plurality of columns of a corresponding one of the look-up tables; and

wherein the combiner module is adapted to determine the model output of the mathematical advisory model from the table entries of the determined columns.

10. A medical advisory system according to claim 1, wherein at least one of the plurality of mathematical advisory models comprises a prediction module for predicting a future value of a physiological parameter;

and a control unit for determining a recommended action from at least the predicted future value of the physiological parameter.

11. A medical advisory system according to claim 1, wherein at least the input means and the output means are provided by a hand-held electronic device.

12. A medical advisory system according to claim 11, wherein the hand-held electronic device further comprises the processing means.

13. A medical advisory system according to claim 11, wherein the medical advisory system further comprises a remote data processing system comprising the processing means;

and wherein the hand-held electronic device comprises communications means for sending the received input parameters to the remote data processing system and for receiving the information about the recommended action from the remote data processing system.

14. A medical advisory system according to claim 1, wherein the medical advisory system is adapted to determine a recommended action for controlling a blood glucose level of a diabetes patient.

15. A computer-implemented method of providing recommendations to a user for actions to be taken, the method comprising:

receiving a number of input parameters;

determining from at least the input parameters a recommended action to be taken; and

presenting information about the determined recommended action to a user;

wherein determining the recommended action further comprises

providing a plurality of mathematical advisory models;

determining one or more respective model outputs of one or more of the plurality of mathematical advisory models and from the received input parameters; and

determining the recommended action from the determined one or more model outputs.

16. A computer program comprising program code means adapted to execute the steps of the method according to claim 15, when said computer program is run on a data processing system.