System and method for analyzing a patient status for atrial fibrillation for use in automated patient care

• US 7,302,291 B2
• Filed: 09/01/2004
• Issued: 11/27/2007
• Est. Priority Date: 11/16/1999
• Status: Expired due to Term

• Current Assignee: Cardiac Intelligence Corp (Boston Scientific Corporation)
• Original Assignee: Cardiac Intelligence Corp (Boston Scientific Corporation)
• Inventors: Bardy, Gust H.
• Primary Examiner(s): EVANISKO, GEORGE ROBERT
• Application Number:
  US10/933,162
• Publication Number:
  US 20050027331A1
• Time in Patent Office: 1,182 Days
• Field of Search: 600/508, 600/513, 600515-518, 128/920, 128/923, 607/4, 607/5, 607/14
• US Class Current: 600/518
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• CPC Class Codes: A61B 5/361 Detecting fibrillation
• CPC Class Codes: A61N 1/3622 comprising two or more electrodes co-operating with different heart regions
• CPC Class Codes: A61N 1/37282 characterised by communication with experts in remote locations using a network
• CPC Class Codes: Y10S 128/923 by comparison of patient data to other data

Abstract

An automated system and method for diagnosing and monitoring the outcomes of atrial fibrillation is described. A plurality of monitoring sets is retrieved from a database. Each of the monitoring sets include recorded measures relating to patient information recorded on a substantially continuous basis. A patient status change is determined in response to an atrial fibrillation diagnosis by comparing at least one recorded measure from each of the monitoring sets to at least one other recorded measure. Both recorded measures relate to the same type of patient information. Each patient status change is tested against an indicator threshold corresponding to the same type of patient information as the recorded measures which were compared. The indicator threshold corresponds to a quantifiable physiological measure of a pathophysiology resulting from atrial fibrillation.

Claims

1. A system for analyzing a patient status for atrial fibrillation for use in automated patient care, comprising:

a server system receiving a set of one or more physiological measures relating to patient information recorded on a substantially continuous basis or derived therefrom;

a database module storing the physiological measures set into a patient care record for an individual patient into a database; and

an analyzer receiving a diagnosis of atrial fibrillation and analyzing one or more of the physiological measures in the physiological measures set relative to one or more other physiological measures in response to the atrial fibrillation diagnosis and determining therefrom an onset, a progression, a regression, and a status quo of atrial fibrillation.

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

the analyzer analyzing the physiological measures in the physiological measures set relative to the other physiological measures and determining therefrom an onset, a progression, a regression, and a status quo of diseases other than atrial fibrillation.

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

the server system receiving a set of one or more quality of life measures relating to patient information recorded on a substantially continuous basis or derived therefrom;

the database module storing the quality of life measures set into the patient care record for the individual patient into the database; and

the analyzer analyzing the quality of life measures in the physiological measures set relative to the other quality of life measures and determining therefrom an onset, a progression, a regression, and a status quo of atrial fibrillation.

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

the server system receiving a set of one or more baseline physiological measures relating to patient information recorded during an initial time period or derived therefrom;

the database module storing the baseline physiological measures set into the patient care record for the individual patient into the database; and

the analyzer analyzing the physiological measures in the physiological measures set relative to the baseline physiological measures and determining therefrom an onset, a progression, a regression, and a status quo of atrial fibrillation.

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

a comparison module retrieving the other physiological measures from measures sets for at least one of an individual patient, a peer group, and a overall patient population.

6. A method for analyzing a patient status for atrial fibrillation for use in automated patient care, comprising:

receiving a set of one or more physiological measures relating to patient information recorded on a substantially continuous basis or derived therefrom;

storing the physiological measures set into a patient care record for an individual patient into a database;

receiving a diagnosis of atrial fibrillation; and

analyzing one or more of the physiological measures in the physiological measures set relative to one or more other physiological measures in response to the atrial fibrillation diagnosis and determining therefrom an onset, a progression, a regression, and a status quo of atrial fibrillation.

7. A method according to claim 6, further comprising:

analyzing the physiological measures in the physiological measures set relative to the other physiological measures and determining therefrom an onset, a progression, a regression, and a status quo of diseases other than atrial fibrillation.

8. A method according to claim 6, further comprising:

receiving a set of one or more quality of life measures relating to patient information recorded on a substantially continuous basis or derived therefrom;

storing the quality of life measures set into the patient care record for the individual patient into the database; and

analyzing the quality of life measures in the physiological measures set relative to the other quality of life measures and determining therefrom an onset, a progression, a regression, and a status quo of atrial fibrillation.

9. A method according to claim 6, further comprising:

receiving a set of one or more baseline physiological measures relating to patient information recorded during an initial time period or derived therefrom;

storing the baseline physiological measures set into the patient care record for the individual patient into the database; and

analyzing the physiological measures in the physiological measures set relative to the baseline physiological measures and determining therefrom an onset, a progression, a regression, and a status quo of atrial fibrillation.

10. A method according to claim 6, further comprising:

retrieving the other physiological measures from measures sets for at least one of an individual patient, a peer group, and a overall patient population.

11. A computer-readable storage medium for a device holding code for performing the method according to claim 6.