Data Feedback loop for medical therapy adjustment

• US 20050033369A1
• Filed: 08/08/2003
• Published: 02/10/2005
• Est. Priority Date: 08/08/2003
• Status: Abandoned Application

• Current Assignee: Pacesetter Incorporated (Abbott Laboratories Incorporated)
• Original Assignee: Pacesetter Incorporated (Abbott Laboratories Incorporated)
• Inventors: Badelt, Steven W.
• Application Number:
  US10/638,065
• Publication Number:
  US 20050033369A1
• Time in Patent Office: Days
• US Class Current: 607/32
• CPC Class Codes: A61N 1/37282 characterised by communication with experts in remote locations using a network
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]
• CPC Class Codes: H04L 9/40 Network security protocols
• CPC Class Codes: H04M 11/022 Paging systems personal calling arrangements or devices G08B3/1008; selective calling networks H04W84/022

Abstract

An implementation of a technology, described herein, for implantable medical therapy devices and techniques related to gathering and processing data field-collected by such implantable medical therapy devices. With an ICTD system and a central database, at least one embodiment of the invention, described herein, collects and analyzes data—which includes historical cardiac-status-and-treatment information—for a specific patient and adjusts a patient'"'"'s therapy accordingly. With an ICTD system and a central database, at least one embodiment of the invention, described herein, collects and analyzes data—which includes historical cardiac-status-and-treatment information—for a patient population and adjusts a patient'"'"'s therapy accordingly. This abstract itself is not intended to limit the scope of this patent. The scope of the present invention is pointed out in the appending claims.

Claims

1. A method comprising:

administering cardiac therapy to a plurality of patients via a plurality of implanted cardiac therapy devices;

storing data regarding the therapy at the respective implanted cardiac therapy devices;

collecting the data from the plurality of implanted cardiac therapy devices;

processing the collected data to discover patterns, relationships, or correlations between such data;

modifying therapy of one or more patients based upon the patterns, relationships, or correlations.

2. A method as recited in claim 1, wherein the processing comprises knowledge discovery in database (KDD).

3. A method as recited in claim 1, wherein the data comprises historical cardiac-status-and-treatment information.

4. A method as recited in claim 1, wherein the data comprises one or more of the following parameters:

cardiac monitoring data and statistics;

cardiac treatment data and statistics;

ICTD model and serial number;

ICTD battery status;

waveform of treatment;

shocking protocol;

patient age;

patient gender;

patient activity patterns;

patient weight;

patient ethnic/nationality;

patient genetics;

patient temporal cycles;

patient sleep/wake patterns; and

patient medications.

5. A method comprising:

administering cardiac therapy to a plurality of patients;

gathering data from each patient regarding the therapy and the response to the therapy;

collecting data related to such therapy and the response from the plurality of patients;

analyzing the data to determine appropriate therapies; and

modifying therapy of one or more patients based upon the patterns, relationships, or correlations.

6. A method as recited in claim 5 further comprising adjusting therapies for one or more patients in response to the analyzing.

7. A method as recited in claim 5, wherein the analyzing comprises statistically processing the collection of data to discover patterns, relationships, or correlations between such data.

8. A method as recited in claim 5 wherein the collecting comprises field-collecting the collection of data from a plurality of implantable cardiac devices (ICTDs).

9. A method as recited in claim 5, wherein the data comprises historical cardiac-status-and-treatment information.

10. A method as recited in claim 5, wherein the data comprises one or more of the following parameters:

cardiac monitoring data and statistics;

cardiac treatment data and statistics;

ICTD model and serial number;

ICTD battery status;

waveform of treatment;

shocking protocol;

patient age;

patient gender;

patient activity patterns;

patient weight;

patient ethnic/nationality;

patient genetics;

patient temporal cycles;

patient sleep/wake patterns; and

patient medications.

11. A system comprising:

a plurality of implantable cardiac therapy devices configured to be implanted in corresponding patients;

a central database;

a communications link configured to facilitate communications between the central database and the plurality of implantable cardiac therapy devices;

wherein the database is further operative to receive data relating to therapy administered to the patients by the plurality of implantable cardiac therapy devices, process the collection of data to discover patterns, relationships, or correlations between such data, and to modify therapy of one or more of the implantable cardiac therapy devices in response to the patterns, relationships, or correlations between the data.

12. A system as recited in claim 11, wherein the data comprises historical cardiac-status-and-treatment information.

13. A system as recited in claim 11, wherein the data comprises historical cardiac-status-and-treatment information of a plurality of patients.

14. A system as recited in claim 11, wherein the data comprises one or more parameters selected from a group of parameters consisting of:

cardiac monitoring data and statistics;

cardiac treatment data and statistics;

ICTD model and serial number;

ICTD battery status;

waveform of treatment;

shocking protocol;

patient age;

patient gender;

patient activity patterns;

patient weight;

patient ethnic/nationality;

patient genetics;

patient temporal cycles;

patient sleep/wake patterns;

patient medications.