Abstract: A system and method for transacting an automated patient communications session is described. A patent health condition is monitored by regularly collecting physiological measures through an implantable medical device. A patient communications session is activated through a patient communications interface, including an implantable microphone and an implantable speaker in response to a patient-provided activation code. An identification of the patient is authenticated based on pre-defined uniquely identifying patient characteristics. Spoken patient information is received through the implantable microphone and verbal system information is played through the implantable speaker. The patient communications session is terminated by closing the patient communications interface. The physiological measures and the spoken patient information are sent.

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.

Abstract: A system and method for providing diagnosis and monitoring of myocardial ischemia 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 myocardial ischemia is evaluated dependent upon the change in patient pathophysiological status.

Abstract: A system for diagnosing and monitoring respiratory insufficiency for automated remote patient care is presented. A database stores monitoring sets containing recorded measures relating to patient information recorded on a substantially continuous basis. A server retrieving and processing the monitoring sets includes a comparison module determining a 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 same type of patient information; and an analysis module testing each patient status change against an indicator threshold corresponding to the same 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 respiratory insufficiency.

Abstract: A system and method for determining a reference baseline of individual patient status for use in an automated collection and analysis patient care system is described. A set of collected measures is retrieved from a medical device adapted to be implanted in a patient. The collected device measures set includes individual measures which each relate to patient information recorded by the medical device adapted to be implanted during an initial time period. The collected device measures set is received from the medical device adapted to be implanted over a communications link which is interfaced to a network server. The collected device measures set is stored into a patient care record for the individual patient within a database server organized to store one or more patient care records. The collected device measures set is processed into a set of reference measures. Each reference measure is representative of at least one of measured or derived patient information.

Abstract: An automated system and method for diagnosing and monitoring respiratory insufficiency and outcomes thereof 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 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 indicative of respiratory insufficiency.

Abstract: A system for determining a reference baseline of patient information for automated remote patient care is presented. A medical device regularly records and stores measures sets including individual measures relating to patient information by a medical device adapted to be implanted during an initial time period. A database collects one or more patient care records containing the collected measures sets. A database module stores the collected measures set into a patient care record within the database. A server receives the collected device measures set from the medical device via a receiver. An analysis module within the server processes the collected device measures set into a set of reference measures. Each reference measure is representative of measured or derived patient information. The reference measures set is stored into the patient care record as data in a reference baseline indicating an initial patient status.

Abstract: A system and method for providing collection and analysis of patient information for use in automated patient care. One or more physiological measures relating to individual patient information recorded on a substantially continuous basis are collected. Each of the one or more physiological measures collected at substantially the same time as a set of physiological measures are received. The physiological measures set are stored into a patient care record for an individual patient into a database. One or more of the physiological measures in the patient care record are retrieved from the database. The retrieved physiological measures are analyzed relative to one or more other physiological measures to determine a patient status indicator.

Abstract: A system for collection and analysis of patient information for automated remote patient care is presented. A medical device adapted to be implanted for an individual patient regularly records and stores measures sets containing individual measures which each relate to patient information. A database collects one or more patient care records organized to include a plurality of the collected measures sets, and stores the collected measures set into a patient care record for the individual patient within a database. A server periodically receives a set of the collected measures from the medical device adapted to be implanted, and analyzes one or more of the collected measures sets in the patient care record for the individual patient relative to one or more other collected measures sets stored in the database server to determine a patient status indicator.

Abstract: A system for ordering and prioritizing multiple health disorders for automated remote patient care is presented. A database maintains information for an individual patient by organizing monitoring sets in a database, and measures relating to patient information previously recorded and derived on a substantially continuous basis into a monitoring set in the database. A server retrieving and processing the monitoring includes a comparison module comparing stored measures from each of the monitoring sets to other stored measures from another of the monitoring sets with both stored measures relating to the same type of patient information, and an analysis module ordering each patient status change in temporal sequence and categorizing health disorder candidates by quantifiable physiological measures, and identifying the health disorder candidate having the pathophysiology substantially corresponding to the patient status changes which occurred substantially least recently as the index disorder.

Abstract: A system for collection and analysis of regularly retrieved patient information for automated remote patient care is presented. A medical device having a sensor for monitoring at least one physiological measure of an individual patient regularly records and stores measures sets including individual measures relating to patient information. A database collects one or more patient care records by organizing one or more patient care records with a plurality of the collected measures sets and storing the collected measures set into a patient care record for the individual patient. A server periodically receives a set of the collected measures retrieved on a substantially regular basis from the medical device, and analyzes one or more of the collected measures sets in the patient care record for the individual patient relative to one or more other collected measures sets stored in the database server to determine a patient status indicator.

Abstract: A system and method for providing tiered patient feedback for use in automated patient care is described. Physiological measures are analyzed. Each physiological measure is representative of at least one of measured and derived patient information recorded on a substantially continuous basis and was retrieved from one such patient care record to determine a patient status. Tiered feedback is provided to an individual patient responsive to the patient status.

Abstract: A system and method for processing normalized voice feedback for use in automated patient care is described. One or more physiological measures relating to individual patient information and one or more quality of life measures relating to normalized spoken patient self-assessment indicators are retrieved from a patient care record. Each quality of life measure is recorded substantially contemporaneous to the physiological measures. The physiological measures and the contemporaneously recorded quality of life measures retrieved from one such patient care record are analyzed to determine a patient status.

Abstract: One or more physiological measures regularly recorded by an implantable medical device and relating to individual patient information recorded on a substantially continuous basis are retrieved from a patient care record. The physiological measures retrieved from one such patient care record are analyzed to determine a patient status. Each of the physiological measures are representative of at least one of measured and derived patient information.

Abstract: A system and method for patient monitoring using a reference baseline for use in automated patient. One or more reference physiological measures relating to individual patient information recorded during an initial observation period are processed into a reference baseline. One or more updated physiological measures recorded subsequent to the initial observation period are periodically received. The updated physiological measures are compared to the reference physiological measures in the reference baseline to generate a patient status indicator identifying any such substantially non-conforming updated physiological measure.

Abstract: A system for ordering and prioritizing multiple health disorders for automated remote patient care is presented. A database maintains information for an individual patient by organizing monitoring sets in a database, and measures relating to patient information previously recorded and derived on a substantially continuous basis into a monitoring set in the database. A server retrieving and processing the monitoring includes a comparison module comparing stored measures from each of the monitoring sets to other stored measures from another of the monitoring sets with both stored measures relating to the same type of patient information, and an analysis module ordering each patient status change in temporal sequence and categorizing health disorder candidates by quantifiable physiological measures, and identifying the health disorder candidate having the pathophysiology substantially corresponding to the patient status changes which occurred substantially least recently as the index disorder.

Abstract: A system and method for determining a reference baseline record for use in automated patient care. One or more physiological measures are retrieved. Each of the measures relates to individual patient information recorded during an initial observation period from a patient care record. One or more reference measures are determined from the physiological measures. Each reference measure is representative of at least one of measured and derived patient information. The reference measures are stored into the patient care record indicating a reference baseline patient status.

Abstract: A system and method for analyzing normalized patient voice feedback in an automated collection and analysis patient care system is described. Device measures providing physiological measures collected by an implantable medical device on a substantially continuous basis are received for storage into a patient care record. Voice feedback spoken by an individual patient substantially contemporaneous to the collection of at least one set of the device measures is received. The voice feedback is processed into normalized quality of life measures for storage into the patient care record. The physiological measures and the quality of life measures stored in the patient care record are analyzed relative to at least one of other physiological measures and other quality of life measures to determine a patient status indicator.

Abstract: A system for diagnosing and monitoring myocardial ischemia for automated remote patient care is presented. A database stores monitoring sets containing recorded measures relating to patient information recorded on a substantially continuous basis. A server retrieving and processing the monitoring sets includes a comparison module determining a patient status change by comparing recorded measures and time from each of the monitoring sets to other recorded measures and time from another monitoring set with both recorded measures relating to a same type of patient information recorded at different times, and an analysis module testing each patient status change for, an onset, a progression, a regression, and a status quo of myocardial ischemia against a predetermined indicator threshold, including hysteresis threshold, corresponding to same type of patient information as the compared recorded measures.

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 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.