System and method for diagnosing and monitoring congestive heart failure for automated remote patient care
First Claim
1. A system for diagnosing and monitoring congestive heart failure for automated remote patient care, comprising:
- a database storing a plurality of monitoring sets which each comprise recorded measures relating to patient information recorded on a substantially continuous basis;
a server retrieving and processing a plurality of the monitoring sets, comprising;
a comparison module determining at least one patient status change by comparing at least one recorded measure from one of the monitoring sets to at least one other recorded measure from another of the monitoring sets with both recorded measures relating to a type of patient information; and
an analysis module testing each patient status change for one of an absence, an onset, a progression, a regression, and a status quo of congestive heart failure against a predetermined indicator threshold corresponding to a type of patient information as the recorded measures which were compared, the indicator threshold corresponding to a quantifiable physiological measure of a pathophysiology indicative of congestive heart failure.
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Accused Products
Abstract
A system for diagnosing and monitoring congestive heart failure for automated remote patient care is presented. A database stores a plurality of monitoring sets relating to patient information recorded on a substantially continuous basis. A server retrieving and processing the monitoring sets includes a comparison module determining patient status changes by comparing at least one recorded measure from one of the monitoring sets to at least one other recorded measure from another of the monitoring sets with both recorded measures relating to a type of patient information, and an analysis module testing each patient status change for one of an absence, an onset, a progression, a regression, and a status quo of congestive heart failure against a predetermined indicator threshold corresponding to a type of patient information as the recorded measures. The indicator threshold corresponds to a quantifiable physiological measure of a pathophysiology indicative of congestive heart failure.
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Citations
81 Claims
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1. A system for diagnosing and monitoring congestive heart failure for automated remote patient care, comprising:
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a database storing a plurality of monitoring sets which each comprise recorded measures relating to patient information recorded on a substantially continuous basis;
a server retrieving and processing a plurality of the monitoring sets, comprising;
a comparison module determining at least one patient status change by comparing at least one recorded measure from one of the monitoring sets to at least one other recorded measure from another of the monitoring sets with both recorded measures relating to a type of patient information; and
an analysis module testing each patient status change for one of an absence, an onset, a progression, a regression, and a status quo of congestive heart failure against a predetermined indicator threshold corresponding to a type of patient information as the recorded measures which were compared, the indicator threshold corresponding to a quantifiable physiological measure of a pathophysiology indicative of congestive heart failure. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method for diagnosing and monitoring congestive heart failure for automated remote patient care, comprising:
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storing a plurality of monitoring sets which each comprise recorded measures relating to patient information recorded on a substantially continuous basis in a database;
retrieving a plurality of the monitoring sets from the database;
determining at least one patient status change by comparing at least one recorded measure from one of the monitoring sets to at least one other recorded measure from another of the monitoring sets with both recorded measures relating to a type of patient information; and
testing each patient status change for one of an absence, an onset, a progression, a regression, and a status quo of congestive heart failure against a predetermined indicator threshold corresponding to a type of patient information as the recorded measures which were compared, the indicator threshold corresponding to a quantifiable physiological measure of a pathophysiology indicative of congestive heart failure. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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23. A computer-readable storage medium holding code for diagnosing and monitoring congestive heart failure for automated remote patient care, the code comprising:
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code for storing a plurality of monitoring sets which each comprise recorded measures relating to patient information recorded on a substantially continuous basis in a database;
code for operatively retrieving a plurality of monitoring sets from the database;
code for operatively determining at least one patient status change by comparing at least one recorded measure from one of the monitoring sets to at least one other recorded measure from another of the monitoring sets with both recorded measures relating to a type of patient information; and
code for operatively testing each patient status change for one of an absence, an onset, a progression, a regression, and a status quo of congestive heart failure against a predetermined indicator threshold corresponding to a type of patient information as the recorded measures which were compared, the indicator threshold corresponding to a quantifiable physiological measure of a pathophysiology indicative of congestive heart failure. - View Dependent Claims (24, 25, 26, 27, 28, 29, 30)
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31. An automated collection and analysis patient care system for diagnosing and monitoring congestive heart failure for remote patient care, comprising:
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a database storing patient monitoring information, comprising;
a plurality of monitoring sets, each monitoring set comprising recorded measures which each relate to patient information and comprise either medical device measures or derived measures calculable therefrom, the medical device measures having been recorded on a substantially continuous basis;
a set of at least one stored indicator threshold, each indicator threshold corresponding to a quantifiable physiological measure of a pathophysiology indicative of congestive heart failure and relating to a type of patient information as at least one of the recorded measures; and
a server diagnosing a congestive heart failure finding comprising one of an absence, an onset, a progression, a regression, and a status quo of. congestive heart failure, comprising;
an analysis module determining a change in patient status by comparing at least one recorded measure to at least one other recorded measure with both recorded measures relating to a type of patient information; and
a comparison module comparing each patient status change to the indicator threshold corresponding to a type of patient information as the recorded measures which were compared. - View Dependent Claims (32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46)
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47. A method for diagnosing and monitoring congestive heart failure using an automated collection and analysis patient care system, comprising:
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storing a plurality of monitoring sets in a database, each monitoring set comprising recorded measures which each relate to patient information and comprise either medical device measures or derived measures calculable therefrom, the medical device measures having been recorded on a substantially continuous basis;
retrieving a plurality of monitoring sets from the database;
defining a set of at least one stored indicator threshold, each indicator threshold corresponding to a quantifiable physiological measure of a pathophysiology indicative of congestive heart failure and relating to a type of patient information as at least one of the recorded measures; and
diagnosing a congestive heart failure finding comprising one of an absence, an onset, a progression, a regression, and a status quo of. congestive heart failure, comprising;
determining a change in patient status by comparing at least one recorded measure to at least one other recorded measure with both recorded measures relating to a type of patient information; and
comparing each patient status change to the indicator threshold corresponding to a type of patient information as the recorded measures which were compared. - View Dependent Claims (48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62)
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63. A computer-readable storage medium holding code for diagnosing and monitoring congestive heart failure using an automated collection and analysis patient care system, the code comprising:
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code for storing a plurality of monitoring sets from a database, each monitoring set comprising recorded measures which each relate to patient information and comprise either medical device measures or derived measures calculable therefrom, the medical device measures having been recorded on a substantially continuous basis;
code for operatively retrieving a plurality of the monitoring sets from the database;
code for operatively defining a set of at least one indicator threshold, each indicator threshold corresponding to a quantifiable physiological measure of a pathophysiology indicative of congestive heart failure and relating to the same type of patient information as at least one of the recorded measures; and
code for operatively diagnosing a congestive heart failure finding comprising one of an absence, an onset, a progression, a regression, and a status quo of. congestive heart failure, comprising;
code for operatively determining a change in patient status by comparing at least one recorded measure to at least one other recorded measure with both recorded measures relating to the same type of patient information; and
code for operatively comparing each patient status change to the indicator threshold corresponding to the same type of patient information as the recorded measures which were compared. - View Dependent Claims (64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74)
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75. An automated patient care system for diagnosing and monitoring congestive heart failure for remote patient care, comprising:
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a medical device regularly recording measures relating to at least one of monitoring reduced exercise capacity and respiratory distress;
a database maintaining information for an individual patient, comprising organizing a plurality of monitoring sets in a database, and storing the recorded measures for the individual patient on a substantially continuous basis into a monitoring set in the database;
a server evaluating a finding of at least one of an absence, an onset, a progression, a regression, and a status quo of congestive heart failure, comprising;
a database module periodically retrieving a plurality of the monitoring sets from the database;
a comparison module determining at least one patient status change by comparing at least one recorded measure from each of the monitoring sets to at least one other recorded measure with both recorded measures relating to a type of patient information; and
an analysis module testing each patient status change for congestive heart failure against predetermined indicator thresholds corresponding to a type of patient information as the recorded measures which were compared, the indicator thresholds corresponding to quantifiable physiological measures of pathophysiologies indicative of reduced exercise capacity and respiratory distress. - View Dependent Claims (76, 77)
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78. A method for diagnosing and monitoring congestive heart failure in an automated patient care system, comprising:
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regularly recording measures relating to at least one of monitoring reduced exercise capacity and respiratory distress;
maintaining information for an individual patient, comprising;
organizing a plurality of monitoring sets in a database;
storing the recorded measures for the individual patient on a substantially continuous basis into a monitoring set in the database;
periodically retrieving a plurality of the monitoring sets from the database;
evaluating a finding of at least one of an absence, an onset, a progression, a regression, and a status quo of congestive heart failure, comprising;
determining at least one patient status change by comparing at least one recorded measure from each of the monitoring sets to at least one other recorded measure with both recorded measures relating to a type of patient information; and
testing each patient status change for congestive heart failure against predetermined indicator thresholds corresponding to a type of patient information as the recorded measures which were compared, the indicator thresholds corresponding to quantifiable physiological measures of pathophysiologies indicative of reduced exercise capacity and respiratory distress. - View Dependent Claims (79, 80)
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81. A computer-readable storage medium holding code for diagnosing and monitoring congestive heart failure in an automated patient care system, the code comprising:
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code for regularly recording measures relating to at least one of monitoring reduced exercise capacity and respiratory distress;
code for maintaining information for an individual patient, comprising;
code for organizing a plurality of monitoring sets in a database;
code for storing the recorded measures for the individual patient on a substantially continuous basis into a monitoring set in the database;
code for periodically retrieving a plurality of the monitoring sets from the database;
code for evaluating a finding of at least one of an absence, an onset, a progression, a regression, and a status quo of congestive heart failure, comprising;
code for determining at least one patient status change by comparing at least one recorded measure from each of the monitoring sets to at least one other recorded measure with both recorded measures relating to a type of patient information; and
code for testing each patient status change for congestive heart failure against predetermined indicator thresholds corresponding to a type of patient information as the recorded measures which were compared, the indicator thresholds corresponding to quantifiable physiological measures of pathophysiologies indicative of reduced exercise capacity and respiratory distress.
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Specification