System and method for programming customized data collection for an autonomous medical device

• US 20070299317A1
• Filed: 06/13/2006
• Published: 12/27/2007
• Est. Priority Date: 06/13/2006
• Status: Abandoned Application

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Hoyme, Kenneth P., Gilkerson, James O., Kalgren, James R.
• Application Number:
  US11/452,748
• Publication Number:
  US 20070299317A1
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: G16H 40/40 for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A system and method for programming customized data collection for an autonomous medical device is presented. Data measures to be recorded by an autonomous medical device with remote monitoring are dynamically identified to evaluate a patient status. One or more operational parameters for the autonomous medical device that specify collection of the data measures are defined. A data source to measure each data measure is identified. Collection conditions applicable to the data source are specified. Resources allocated to transiently stage the data measure in the autonomous medical device are managed. The operational parameters are programmed to effect functional changes in the collection of the data measures to the autonomous medical device. The autonomous medical device is regularly interrogated to remotely retrieve the data measures recorded under the operational parameters.

Claims

1. A system for programming customized data collection for an autonomous medical device, comprising:

an evaluator to dynamically identify data measures to be recorded by an autonomous medical device with remote monitoring to evaluate a patient status;

a definer to define one or more operational parameters for the autonomous medical device that specify collection of the data measures, wherein the operational parameters comprise a data source to measure each data measure, collection conditions applicable to the data source, and resources allocated to transiently stage the data measure in the autonomous medical device; and

a programmer to program the operational parameters to effect functional changes in the collection of the data measures to the autonomous medical device, and to regularly interrogate the autonomous medical device to remotely retrieve the data measures recorded under the operational parameters.

2. A system according to claim 1, wherein the data measures are selected from the group comprising physiological measures, parametric data, and environmental parameters.

3. A system according to claim 1, wherein the operational parameters are selected from the group comprising data reduction methodology, sampling rate, storage period, storage buffer size, and overflow policy.

4. A system according to claim 1, further comprising:

a data collection scheme to provide the operational parameters.

5. A system according to claim 4, wherein the data collection scheme is based on conditions selected from the group comprising reducing the resources allocated in the autonomous medical device based on indications presented by the patient, selecting the data measures to track responses by the patient to a change in therapy, and selecting the data measures to monitor therapy compliance by the patient.

6. A system according to claim 4, further comprising:

a menu of data collection schemes.

7. A system according to claim 1, wherein the operational parameters are remotely programmed.

8. A system according to claim 1, further comprising:

at least one trigger for the collection conditions to dynamically alter recording of the corresponding data measure by the autonomous medical device.

9. A system according to claim 8, further comprising:

a processor to perform at least one action associated with each trigger selected from the group comprising enabling recording of the corresponding data measure, disabling recording of the corresponding data measure, changing sampling rate of the corresponding data measure, limiting the autonomous medical device to performing monitoring, setting the autonomous medical device to providing therapy and monitoring, and generating an alert.

10. A system according to claim 8, wherein at least one such trigger comprises detecting changes in the corresponding data measure relative to an absolute or relative threshold value.

11. A system according to claim 1, further comprising:

a memory allocator to estimate usage of memory in the autonomous medical device by the data measures recorded under the operational parameters, and to automatically adjust the collection of the data measures based on the estimated usage.

12. A system according to claim 1, further comprising:

a monitor to monitor overflow of memory in the autonomous medical device; and

an alert generator to generate an alert when overflow is indicated.

13. A system according to claim 1, wherein the autonomous medical device is at least one of an implantable medical device and an external medical device.

14. A system according to claim 1, wherein the data measures recorded under the operational parameters are remotely retrieved using at least one of a patient management device, programmer recorder, and remote patient management system.

15. A method for programming customized data collection for an autonomous medical device, comprising:

dynamically identifying data measures to be recorded by an autonomous medical device with remote monitoring to evaluate a patient status;

defining one or more operational parameters for the autonomous medical device that specify collection of the data measures, comprising;

identifying a data source to measure each data measure;

specifying collection conditions applicable to the data source; and

managing resources allocated to transiently stage the data measure in the autonomous medical device;

programming the operational parameters to effect functional changes in the collection of the data measures to the autonomous medical device; and

regularly interrogating the autonomous medical device to remotely retrieve the data measures recorded under the operational parameters.

16. A method according to claim 15, wherein the data measures are selected from the group comprising physiological measures, parametric data, and environmental parameters.

17. A method according to claim 15, wherein the operational parameters are selected from the group comprising data reduction methodology, sampling rate, storage period, storage buffer size, and overflow policy.

18. A method according to claim 15, further comprising:

providing the operational parameters as a data collection scheme.

19. A method according to claim 18, further comprising:

basing the data collection scheme on conditions selected from the group comprising;

reducing the resources allocated in the autonomous medical device based on indications presented by the patient;

selecting the data measures to track responses by the patient to a change in therapy; and

selecting the data measures to monitor therapy compliance by the patient.

20. A method according to claim 18, further comprising:

displaying a menu of data collection schemes.

21. A method according to claim 15, further comprising:

remotely programming the operational parameters.

22. A method according to claim 15, further comprising:

stipulating at least one trigger for the collection conditions to dynamically alter recording of the corresponding data measure by the autonomous medical device.

23. A method according to claim 22, further comprising:

performing at least one action associated with each trigger selected from the group comprising;

enabling recording of the corresponding data measure;

disabling recording of the corresponding data measure;

changing sampling rate of the corresponding data measure;

limiting the autonomous medical device to performing monitoring;

setting the autonomous medical device to providing therapy and monitoring; and

generating an alert.

24. A method according to claim 22, wherein at least one such trigger comprises detecting changes in the corresponding data measure relative to an absolute or relative threshold value.

25. A method according to claim 15, further comprising:

estimating usage of memory in the autonomous medical device by the data measures recorded under the operational parameters; and

automatically adjusting the collection of the data measures based on the estimated usage.

26. A method according to claim 15, further comprising:

monitoring overflow of memory in the autonomous medical device; and

generating an alert when overflow is indicated.

27. A method according to claim 15, wherein the autonomous medical device is at least one of an implantable medical device and an external medical device.

28. A method according to claim 15, wherein the data measures recorded under the operational parameters are remotely retrieved using at least one of a patient management device, programmer recorder, and remote patient management system.

29. A computer-readable storage medium holding code for performing the method according to claim 15.

30. An apparatus for programming customized data collection for an autonomous medical device, comprising:

means for dynamically identifying data measures to be recorded by an autonomous medical device with remote monitoring to evaluate a patient status;

means for defining one or more operational parameters for the autonomous medical device that specify collection of the data measures, comprising;

means for identifying a data source to measure each data measure;

means for specifying collection conditions applicable to the data source; and

means for managing resources allocated to transiently stage the data measure in the autonomous medical device;

means for programming the operational parameters to effect functional changes in the collection of the data measures to the autonomous medical device; and

means for regularly interrogating the autonomous medical device to remotely retrieve the data measures recorded under the operational parameters.