Abstract: A system and method for providing baseline data for automated patient management is disclosed. A patient is identified for enrollment in automated patient management with information including at least one of treatment profile and medical history. Device measures are collected to provide raw physiometry for the patient regularly recorded by a medical device, beginning with an initial observation period. Derived device measures are determined to provide derivative physiometry based on the collected device measures. Baseline data from the collected and derived device measures are quantified.

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.

Abstract: A system and method for evaluating a patient status from sampled physiometry for use in heart failure assessment is presented. Physiological measures are stored, including at least one of direct measures regularly recorded on a substantially continuous basis by an implantable medical device for a patient and measures derived from the direct measures. At least one of those of the physiological measures, which each relate to a same type of physiometry, and those of the physiological measures, which each relate to a different type of physiometry are sampled. A status for the patient is determined through analysis of the sampled physiological measures assembled from a plurality of recordation points. The sampled physiological measures are evaluated. Trends that are indicated by the patient status, which might affect cardiac performance of the patient, are identified. Each trend is compared to worsening heart failure indications to generate a notification of parameter violations.

Abstract: A system and method for evaluating a patient status from sampled physiometry for use in heart failure assessment is presented. Physiological measures, including at least one of direct measures regularly recorded on a substantially continuous basis by a medical device and measures derived from the direct measures are stored. At least one of those of the physiological measures, which relate to a same type of physiometry, and those of the physiological measures, which relate to a different type of physiometry are sampled. A status is determined for a patient through analysis of those sampled measures assembled from a plurality of recordation points. The sampled measures are evaluated. Trends that are indicated by the patient status, including one of a status quo and a change, which might affect cardiac performance of the patient, are identified. Each trend is compared to worsening heart failure indications to generate a notification of parameter violations.

Abstract: The technology disclosed herein generally relates to a method for providing an index disorder in automated patient care. A set of device measures is stored in a database. Quantitative health care data indicators in the database are provided, where the indicators were regularly recorded by a medical device for a patient under automated patient care. Collected device measures are retrieved with a processor. An index disorder is identified through derived measure determination and statistical calculation with a processor.

Abstract: A system and method for providing baseline data for automated patient management is disclosed. A patient is identified for enrollment in automated patient management with information including at least one of treatment profile and medical history. Device measures are collected to provide raw physiometry for the patient regularly recorded by a medical device, beginning with an initial observation period. Derived device measures are determined to provide derivative physiometry based on the collected device measures. Baseline data from the collected and derived device measures are quantified.

Abstract: The technology disclosed herein generally relates to a method for providing an index disorder in automated patient care. A set of device measures is stored in a database. Quantitative health care data indicators in the database are provided, where the indicators were regularly recorded by a medical device for a patient under automated patient care. Collected device measures are retrieved with a processor. An index disorder is identified through derived measure determination and statistical calculation with a processor.

Abstract: A system and method for managing respiratory insufficiency through remote patient care is described. A patient enrolled in remote patient care is identified with information including at least one of treatment profile and medical history. Collected device measures are received to record raw physiometry for a patient, wherein the patient is regularly monitored by a medical device. Derived device measures are generated to provide derivative physiometry based on the collected device measures. A patient status indicator is determined by analyzing the collected and derived device measures to diagnose a pathophysiology indicative of respiratory insufficiency.

Abstract: A system and method for evaluating a patient status from sampled physiometry for use in heart failure assessment is presented. Physiological measures, including at least one of direct measures regularly recorded on a substantially continuous basis by a medical device and measures derived from the direct measures are stored. At least one of those of the physiological measures, which relate to a same type of physiometry, and those of the physiological measures, which relate to a different type of physiometry are sampled. A status is determined for a patient through analysis of those sampled measures assembled from a plurality of recordation points. The sampled measures are evaluated. Trends that are indicated by the patient status, including one of a status quo and a change, which might affect cardiac performance of the patient, are identified. Each trend is compared to worsening heart failure indications to generate a notification of parameter violations.

Abstract: A system and method for evaluating a patient status from sampled physiometry for use in heart failure assessment is presented. Physiological measures, including at least one of direct measures regularly recorded on a substantially continuous basis by a medical device and measures derived from the direct measures are stored. At least one of those of the physiological measures, which relate to a same type of physiometry, and those of the physiological measures, which relate to a different type of physiometry are sampled. A status is determined for a patient through analysis of those sampled measures assembled from a plurality of recordation points. The sampled measures are evaluated. Trends that are indicated by the patient status, including one of a status quo and a change, which might affect cardiac performance of the patient, are identified. Each trend is compared to worsening heart failure indications to generate a notification of parameter violations.

Abstract: The technology disclosed herein generally relates to a method for providing an index disorder in automated patient care. A set of device measures is stored in a database. Quantitative health care data indicators in the database are provided, where the indicators were regularly recorded by a medical device for a patient under automated patient care. Collected device measures are retrieved with a processor. An index disorder is identified through derived measure determination and statistical calculation with a processor.

Abstract: A system and method for automated diagnosis of myocardial ischemia through remote monitoring is described. Physiological measures comprising data either recorded on a regular basis by a medical device or derived therefrom is stored. Qualitative measures associated with the physiological measures are matched. Indications of myocardial ischemia are remotely identified. The qualitative measures for both of a reduction in exercise capacity and respiratory distress occurring contemporaneously are examined. The qualitative measures for angina that accompanies the reduction in exercise capacity and the respiratory distress are evaluated. A time course for each of the indications is determined. A patient status is formed comprising an onset of myocardial ischemia conditioned on the time course comprising a short duration.

Abstract: A system and method for automated diagnosis of myocardial ischemia through remote monitoring is described. Physiological measures comprising data either recorded on a regular basis by a medical device or derived therefrom is stored. Qualitative measures associated with the physiological measures are matched. Indications of myocardial ischemia are remotely identified. The qualitative measures for both of a reduction in exercise capacity and respiratory distress occurring contemporaneously are examined. The qualitative measures for angina that accompanies the reduction in exercise capacity and the respiratory distress are evaluated. A time course for each of the indications is determined. A patient status is formed comprising an onset of myocardial ischemia conditioned on the time course comprising a short duration.

Abstract: A system and method for evaluating a patient status from sampled physiometry for use in heart failure assessment is presented. Physiological measures are stored, including at least one of direct measures regularly recorded on a substantially continuous basis by an implantable medical device for a patient and measures derived from the direct measures. At least one of those of the physiological measures, which each relate to a same type of physiometry, and those of the physiological measures, which each relate to a different type of physiometry are sampled. A status for the patient is determined through analysis of the sampled physiological measures assembled from a plurality of recordation points. The sampled physiological measures are evaluated. Trends that are indicated by the patient status, which might affect cardiac performance of the patient, are identified. Each trend is compared to worsening heart failure indications to generate a notification of parameter violations.

Abstract: A system and method for evaluating a patient status from sampled physiometry for use in heart failure assessment is presented. Physiological measures are stored, including at least one of direct measures regularly recorded on a substantially continuous basis by an implantable medical device for a patient and measures derived from the direct measures. At least one of those of the physiological measures, which each relate to a same type of physiometry, and those of the physiological measures, which each relate to a different type of physiometry are sampled. A status for the patient is determined through analysis of the sampled physiological measures assembled from a plurality of recordation points. The sampled physiological measures are evaluated. Trends that are indicated by the patient status, which might affect cardiac performance of the patient, are identified. Each trend is compared to worsening heart failure indications to generate a notification of parameter violations.

Abstract: A system and method for automated diagnosis of myocardial ischemia through remote monitoring is described. Physiological measures comprising data either recorded on a regular basis by a medical device or derived therefrom is stored. Qualitative measures associated with the physiological measures are matched. Indications of myocardial ischemia are remotely identified. The qualitative measures for both of a reduction in exercise capacity and respiratory distress occurring contemporaneously are examined. The qualitative measures for angina that accompanies the reduction in exercise capacity and the respiratory distress are evaluated. A time course for each of the indications is determined. A patient status is formed comprising an onset of myocardial ischemia conditioned on the time course comprising a short duration.

Abstract: A system and method for automated diagnosis of atrial fibrillation through remote monitoring is described. Physiological measures including data either recorded on a regular basis by a medical device or derived therefrom are stored. Physiological measures recorded during a baseline period are identified. Physiological measures including cardiac rhythm and changes to the cardiac rhythm originating subsequent to the baseline period are identified. Cardiac rhythm changes for palpitations are evaluated and a time course for the cardiac rhythm changes upon an indication of palpitations is determined. A patient status including an onset of atrial fibrillation conditioned on the time course comprising a short duration is formed.

Abstract: A unitary subcutaneous implantable cardioverter-defibrillator which has a long thin housing in the shape of a patient's rib. The housing contains a source of electrical energy, a capacitor, and operational circuitry that senses the presence of potentially fatal heart rhythms. Provided on the housing are cardioversion/defibrillation electrodes located to deliver electrical cardioversion-defibrillation energy when the operational circuitry senses a potentially fatal heart rhythm. The unitary subcutaneous implantable cardioverter-defibrillator does not have a transvenous, intracardiac, epicardial, or subcutaneous electrode.

Abstract: A system and method for determining a stressor-based reference baseline for use in heart failure assessment is presented. A patient is monitored during an observation time period while the patient performs prescribed physical stressors and by applying pacing stimulus stressors to a medical device. Physiological measures are stored from the observation period, including at least one of direct measures regularly recorded on a substantially continuous basis by the medical device and measures derived therefrom. The measures that originate from the observation time period as a reference baseline for the patient are identified. The reference baseline and those measures originating subsequent to the observation period are evaluated. The measures are analyzed to detect any trends, including one of a status quo and a change in cardiac performance of the patient. Each trend is compared to parameters corresponding to worsening heart failure indications to generate a notification of parameter violations.

Abstract: A system and method for evaluating a patient status from sampled physiometry for use in respiratory insufficiency management and heart failure assessment is presented. Physiological measures are stored and include direct measures regularly recorded on a substantially continuous basis by a medical device for a patient or measures derived from the direct measures. The physiological measures are sampled, which each relate to a same type of physiometry, and those of the physiological measures, which each relate to a different type of physiometry. A status is determined through analysis of those sampled physiological measures assembled from a plurality of recordation points. The sampled physiological measures are evaluated. Any trends are identified and include one of a status quo and a change, which might affect cardiac performance or respiratory performance.