OPTIMIZATION OF TIMING FOR DATA COLLECTION AND ANALYSIS IN ADVANCED PATIENT MANAGEMENT SYSTEM

• US 20100250287A1
• Filed: 06/08/2010
• Published: 09/30/2010
• Est. Priority Date: 07/05/2005
• Status: Active Grant

• Current Assignee: Robert J. Sweeney
• Original Assignee: Robert J. Sweeney
• Inventors: Sweeney, Robert J.
• Granted Patent: US 7,860,733 B2
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• CPC Class Codes: G16H 10/65 stored on portable record carriers, e.g. on smartcards, RFID tags or CD
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Advanced patient management systems include a unit for collecting data from a device associated with a patient, and a host in communication with the unit, the host identifying a time for the device to update data on the device. The system can identify a time for the device to update data associated with the device by developing a histogram of the availability of the device for interrogation. The system can also optimize processing loads for the system by developing a histogram of the time at which the caregiver is most likely to access the system to review the collected and processed data. Methods for optimizing device data update and processing times are also included.

Claims

1. A machine readable medium comprising instructions, which when executed by a machine, cause the machine to:

maintain a history of when a caregiver accesses a patient management system;

identify a time period during which data associated with the device is forecasted to be accessed by the caregiver based on the history;

schedule data analysis of the data associated with the device to provide a scheduled data analysis time, the scheduled data analysis time based on the time period during which the data associated with the device is forecasted to be accessed; and

analyze the data at the scheduled data analysis time by;

identifying when patient data from the device is available to the patient management system; and

scheduling the analysis time between when patient data is available and the time period during which data associated with the patient is forecasted to be accessed by the caregiver, wherein the analysis time is scheduled at least in part to balance computational load at the patient management system.

2. The machine readable medium of claim 1, wherein instructions to identify the time period during which data associated with the device is forecasted to be accessed by the caregiver further comprise instructions to create a histogram of times during which the caregiver accesses the data on the patient management system to determine the time period during which the data associated with the device is forecasted to be accessed by the caregiver.

3. The machine readable medium of claim 2, wherein instructions to create a histogram further comprise instructions to:

aggregate a plurality of instances of the time period to provide an aggregated value; and

calculate the histogram using the aggregated value.

4. The machine readable medium of claim 3, wherein the plurality of instances of the time period comprises a plurality of consecutive days.

5. The machine readable medium of claim 3, wherein the plurality of instances of the time period comprises a plurality of recurring weekend days.

6. The machine readable medium of claim 3, wherein the plurality of instances of the time period comprises a plurality of recurring days of a week.

7. The machine readable medium of claim 1, wherein the instructions further comprise instructions, which when executed by a machine, cause the machine to recurrently recalculate the time period.

8. The machine readable medium of claim 1, wherein the instructions to identify the time period further comprise instructions to access a time-of-day manually set by the caregiver.

9. A method for gathering and processing data associated with a device of a patient by a patient management system, comprising:

identifying, at a computer system, a time period during which the device is forecasted to be available for data collection;

setting a data collection time at the computer system, the data collection time based on the time period during which the device is forecasted to be available for data collection;

identifying, at the computer system, a data update time when the device updates data in a memory of the device, the data update time being before the time period during which the device is forecasted to be available for data collection; and

configuring the device using the computer system, to update data at the data update time.

10. The method of claim 9, further comprising:

maintaining a history of when a user accesses the patient management system;

identifying a time period during which data associated with the device is forecasted to be accessed by the user based on the history;

scheduling data analysis of the data associated with the device to provide a scheduled data analysis time, the scheduled data analysis time based on a time period during which the data associated with the device is forecasted to be accessed; and

analyzing the data at the scheduled data analysis time by;

identifying when patient data from the device is available to the patient management system; and

scheduling the analysis time between when patient data is available and the time period during which data associated with the patient is forecasted to be accessed by the caregiver.

11. The method of claim 10, wherein identifying the time period during which data associated with the device is forecasted to be accessed by the user based on the history further comprises creating a histogram of times during which the user accesses data on the patient management system to determine the time period during which the data associated with the device is forecasted to be accessed by the user.

12. The method of claim 11, wherein creating the histogram further comprises:

determining a plurality of instances of the time period;

aggregating the plurality of instances of the time period to provide an aggregated value; and

calculating the histogram using the aggregated value.

13. The method of claim 12, wherein the plurality of instances of the time period comprises a recurring day of a week.

14. The method of claim 12, wherein the plurality of instances of the time period comprises a set of days in a week.

15. The method of claim 10, further comprising recurrently recalculating the time period during which the data associated with the device is forecasted to be accessed by a user.

16. The method of claim 10, wherein identifying a time period during which data associated with the device is forecasted to be accessed by the user based on the history further comprises accessing a time of day provided by the user.

17. A machine-readable medium comprising instructions, which when executed by a machine, cause the machine to:

identify a time period during which a device is forecasted to be available for data collection;

set a data collection time, the data collection time based on the time period during which the device is forecasted to be available for data collection;

identify a data update time when the device updates data in a memory of the device, the data update time being before the time period during which the device is forecasted to be available for data collection; and

configure the device to update data at the data update time.

18. The machine-readable medium of claim 17, wherein the instructions further comprise instructions to:

maintain a history of when a user accesses the patient management system;

identify a time period during which data associated with the device is forecasted to be accessed by the user based on the history;

schedule data analysis of the data associated with the device to provide a scheduled data analysis time, the scheduled data analysis time based on a time period during which the data associated with the device is forecasted to be accessed; and

analyze the data at the scheduled data analysis time by;

identifying when patient data from the device is available to the patient management system; and

scheduling the analysis time between when patient data is available and the time period during which data associated with the patient is forecasted to be accessed by the caregiver.

19. The machine-readable medium of claim 18, wherein the instructions to identify the time period during which data associated with the device is forecasted to be accessed by the user based on the history further comprise instructions to create a histogram of times during which the user accesses data on the patient management system to determine the time period during which the data associated with the device is forecasted to be accessed by the user.

20. The machine-readable medium of claim 19, wherein the instructions to create the histogram further comprise instructions to:

determine a plurality of instances of the time period;

aggregate the plurality of instances of the time period to provide an aggregated value; and

calculate a histogram using the aggregated value.

21. The machine-readable medium of claim 17, wherein the instructions to identify the time period during which data associated with the device is forecasted to be accessed by the user based on the history further comprise instructions to access a time of day provided by the user.

22. A machine-readable medium comprising instructions for communicating between an implanted device and a local transceiver, which when executed by the implanted device, cause the implanted device to:

identify a data update time when the implanted device updates data in a memory of the implanted device, the data update time being before a time period during which the implanted device is forecasted to be available for data collection; and

configure the implanted device to update data at the data update time.

23. The machine-readable medium of claim 22, wherein the time period during which the implanted device is forecasted to be available for data collection is calculated using a histogram.