SYSTEM FOR USING PATIENT DATA COMBINED WITH DATABASE DATA TO PREDICT AND REPORT OUTCOMES

• US 20150302178A1
• Filed: 04/21/2014
• Published: 10/22/2015
• Est. Priority Date: 04/21/2014
• Status: Active Grant

• Current Assignee: Medtronic Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Incorporated (Medtronic Plc)
• Inventors: Patel, Amisha S., Mongeon, Luc R., Riff, Kenneth M.
• Granted Patent: US 10,573,415 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• 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
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A system and associated method receives, by a database coupled to a communication network, patient medical data from multiple data sources including data retrieved from implantable medical devices implanted in patients. A processor accesses the database to generate a dataset from the medical data having at least one data characteristic matching a corresponding data characteristic of a patient group of at least one patient. At least one subset of the dataset is identified that had a therapy intervention subsequent to a time point that the subset had the matching data characteristic(s). An outcome of the subset is determined and a predictive outcome for the patient group is produced based on the outcome of at least one subset.

Claims

1. A system, comprising:

a database coupled to a communication network and configured to store medical data for a plurality of patients received via the network from a plurality of data sources comprising data retrieved from implantable medical devices implanted in the plurality of patients;

a processor coupled to the database for accessing the stored medical data and configured to;

generate a dataset from the stored medical data having at least one data characteristic matching a corresponding data characteristic of a patient group of at least one patient;

determine from the dataset at least one subset that had a therapy intervention subsequent to a time point that the subset had the at least one matching data characteristic;

determine an outcome of the subset; and

produce a predictive outcome for the patient group based on the outcome of the subset.

2. The system of claim 1, wherein the therapy intervention comprises a change in an operating parameter of an automated medical device.

3. The system of claim 1, wherein the outcome comprises a change in the performance of an implantable medical device.

4. The system of claim 1, wherein the outcome comprises a cost of medical treatment.

5. The system of claim 1, wherein the central computer is further configured to:

generate a plurality of mathematical models of the data stored in the database; and

compare data of the patient group to the models to identify a dataset having the matching characteristic to the patient group.

6. The system of claim 1, wherein the processor is further configured to automatically produce an updated predictive outcome in response to new data received by the database.

7. The system of claim 6, wherein the processor is configured to:

determine a change in the at least one data characteristic of the patient group in response to the new data;

generate an updated dataset in response to determining the change; and

produce the updated predictive outcome in response to the updated dataset.

8. The system of claim 6, wherein the processor is configured to:

determine a change in an actual outcome of the dataset in response to the new data; and

produce the updated predictive outcome in response to the change in the actual outcome.

9. The system of claim 1, wherein the processor is further configured to:

determine from the dataset a subset having an optimal outcome;

determine a therapy intervention difference between the patient group data and the subset;

report an action to reduce the therapy intervention difference; and

report a predictive outcome expected if the reported action is taken.

10. The system of claim 9, wherein the processor is further configured to:

compute a predicted difference in a monetary cost of medical care if the reported action is taken; and

report the predicted change in the monetary cost of medical care.

11. A method, comprising:

receiving, by a database coupled to a communication network, medical data for a plurality of patients from a plurality of data sources comprising data retrieved from implantable medical devices implanted in the plurality of patients;

generating by a processor coupled to the database a dataset from the medical data having at least one data characteristic matching a corresponding data characteristic of a patient group of at least one patient;

determining from the dataset at least one subset that had a therapy intervention subsequent to a time point that the subset had the at least one matching data characteristic;

determining an outcome of the at least one subset; and

producing a predictive outcome for the patient group based on the outcome of the at least one subset.

12. The method of claim 11, wherein the therapy intervention comprises a change in an operating parameter of an automated medical device.

13. The method of claim 11, wherein the outcome comprises a change in the performance of an implantable medical device.

14. The method of claim 11, wherein the outcome comprises a cost of medical treatment.

15. The method of claim 11, further comprising:

generating a plurality of mathematical models of the data stored in the database; and

comparing data of the patient group to the plurality of models to identify the dataset having the matching characteristic to the patient group.

16. The method of claim 11, further comprising:

automatically producing an updated predictive outcome in response to new data received by the database.

17. The method of claim 16, further comprising:

determining a change in the at least one data characteristic of the patient group in response to the new data;

generating an updated dataset in response to determining the change; and

producing the updated predictive outcome in response to the updated dataset.

18. The method of claim 16, further comprising:

determining a change in an actual outcome of the dataset in response to the new data; and

producing the updated predictive outcome in response to the change in the actual outcome.

19. The method of claim 11, further comprising:

determining from the dataset a subset having an optimal outcome;

determining a therapy difference between the patient group data and the subset;

reporting an action to reduce the therapy difference; and

reporting a predictive outcome expected if the reported action is taken.

20. The method of claim 19, further comprising:

computing a predicted difference in a monetary cost of medical care if the reported action is taken; and

reporting the predicted change in the monetary cost of medical care.

21. A system, comprising:

receiving means for receiving medical data for a plurality of patients from a plurality of data sources comprising data retrieved from implantable medical devices implanted in the plurality of patients;

storing means for storing the received data; and

processing means for;

generating a dataset from the medical data having at least one data characteristic matching a corresponding data characteristic of a patient group of at least one patient;

determining from the dataset at least one subset that had a therapy intervention subsequent to a time point that the subset had the at least one matching data characteristic;

determining an outcome of the at least one subset; and

producing a predictive outcome for the patient group based on the outcome of the at least one subset.

22. A non-transitory computer readable storage medium storing a set of instructions to cause a system to:

receive by a database coupled to a communication network medical data for a plurality of patients from a plurality of data sources comprising data retrieved from implantable medical devices implanted in the plurality of patients;

generate a dataset from the medical data having at least one data characteristic matching a corresponding data characteristic of a patient group of at least one patient;

determine from the dataset at least one subset that had a therapy intervention subsequent to a time point that the subset had the at least one matching data characteristic;

determine an outcome of the at least one subset; and

produce a predictive outcome for the patient group based on the outcome of the at least one subset.