System and method for analyzing a patient status for congestive heart failure for use in automated patient care
First Claim
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1. A system providing physiometry for use in remote automated congestive heart failure patient management, comprising:
- a medical devise having;
one or more sensors to directly sense raw physiometry for a patient;
sensing circuitry to regularly monitor and record the raw physiometry as collected device measures;
memory to temporarily store the collected device measures pending interrogation by an externally interfaceable device; and
a telemetry interface to provide access to the collected device measures; and
a processor to derive measures from the collected device measures,the system defining at least one hysteresis parameter to temporally define a threshold for change in a pathophysiology indicative of congestive heart failure;
a diagnostic module configured to receive at least a portion of the collected device measures and derived measures, quantify the pathophysioloy indicative of congestive heart failure, and to quantify a pathophysiology indicative of respiratory distress based on the collected device measures and the derived measures, wherein the diagnostic module is configured to qualify the pathophysiology indicative of congestive heart failure based on the quantified pathophysiology indicative of respiratory distress and the at least one hysteresis parameter wherein the hysteresis parameter defines that the quantified pathophysiology indicative of congestive heart failure does not change the temporary change in pathophysiology indicative of congestive heart failure but upon a persistence of change; and
a database remote from the medical device wherein the database is configured to receive and store at least some derived measures felevant to the pathophysiology indicative of congestive heart failure, wherein the database is configured to receive the measures from a network server.
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Abstract
A system and method for providing diagnosis and monitoring of congestive heart failure for use in automated patient care is described. At least one recorded physiological measure is compared to at least one other recorded physiological measure on a substantially regular basis to quantify a change in patient pathophysiological status for equivalent patient information. An absence, an onset, a progression, a regression, and a status quo of congestive heart failure is evaluated dependent upon the change in patient pathophysiological status.
186 Citations
15 Claims
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1. A system providing physiometry for use in remote automated congestive heart failure patient management, comprising:
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a medical devise having; one or more sensors to directly sense raw physiometry for a patient; sensing circuitry to regularly monitor and record the raw physiometry as collected device measures; memory to temporarily store the collected device measures pending interrogation by an externally interfaceable device; and a telemetry interface to provide access to the collected device measures; and a processor to derive measures from the collected device measures, the system defining at least one hysteresis parameter to temporally define a threshold for change in a pathophysiology indicative of congestive heart failure; a diagnostic module configured to receive at least a portion of the collected device measures and derived measures, quantify the pathophysioloy indicative of congestive heart failure, and to quantify a pathophysiology indicative of respiratory distress based on the collected device measures and the derived measures, wherein the diagnostic module is configured to qualify the pathophysiology indicative of congestive heart failure based on the quantified pathophysiology indicative of respiratory distress and the at least one hysteresis parameter wherein the hysteresis parameter defines that the quantified pathophysiology indicative of congestive heart failure does not change the temporary change in pathophysiology indicative of congestive heart failure but upon a persistence of change; and a database remote from the medical device wherein the database is configured to receive and store at least some derived measures felevant to the pathophysiology indicative of congestive heart failure, wherein the database is configured to receive the measures from a network server. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method for processing physiometry for use in remote automated congestive heart failure patient management, comprising:
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identifying a patient enrolled in automated patient care with information comprising at least one of treatment profile and medical history; directly sensing raw physiometry for the patient by one or more sensors of a medical device; monitoring and recording the raw physiometry as collected device measures by sensing circuitry of the medical device; temporarily storing the collected device measures in memory of the medical device pending interrogation by an externally interfaceable device; providing access to the collected device measures by a telemetry interface; determining derived device measures by a processor to provide derivative physiometry based on the collected device measures; defining at least one hysteresis parameter to temporally define a threshold for change in a pathophysiology indicative of congestive heart failure; receiving, by a diagnostic module, at least a portion of the collected device measures and derived measures; quantifying, by the diagnostic module, the pathophysiology indicative of congestive heart failure and a pathophysiology indicative of respiratory distress based on the collected device measures and the derived measures, wherein quantifying the pathophysiology indicative of congestive heart failure is based on the quantified pathophysiology indicative of respiratory distress and the at least one hysteresis parameter wherein the hysteresis parameter defines that the quantified pathophysiology indicative of congestive heart failure does not change upon a temporary change in pathopyhysiology indicative of congestive heart failure but upon a persistence of the change; and receiving and storing at least some derived measures relevant to the pathophysiology indicative of congestive heart failure by a database remote from the medial device, wherein the receiving by the database is from a network server. - View Dependent Claims (8, 9, 10, 11, 12, 13, 14, 15)
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Specification