Abstract: Disclosed herein is a method for use in detection of anomalous behavior of a device of a computer system. The method is arranged to be performed by a processing system. The method includes deriving values, m1, . . . , mN, of a metric, M, representative of data associated with the device; modeling a distribution of the values; and determining, in accordance with the distribution of the values, the probability of observing a more extreme value of the metric than a given value, m, of the metric, wherein the probability is used to determine whether the device is behaving anomalously.

Abstract: Disclosed herein is a method for use in detection of anomalous behavior of a device of a computer system. The method is arranged to be performed by a processing system. The method includes deriving values, m1, . . . , mN, of a metric, M, representative of data associated with the device; modeling a distribution of the values; and determining, in accordance with the distribution of the values, the probability of observing a more extreme value of the metric than a given value, in, of the metric, wherein the probability is used to determine whether the device is behaving anomalously. Also disclosed is an equivalent computer readable medium and anomalous behavior detection system.

Abstract: Disclosed herein is a method for use in detection of anomalous behavior of a device of a computer system. The method is arranged to be performed by a processing system. The method includes deriving values, m1, . . . , mN, of a metric, M, representative of data associated with the device; modeling a distribution of the values; and determining, in accordance with the distribution of the values, the probability of observing a more extreme value of the metric than a given value, m, of the metric, wherein the probability is used to determine whether the device is behaving anomalously. Also disclosed is an equivalent computer readable medium and anomalous behavior detection system.

Abstract: Disclosed herein is a method for use in detection of anomalous behavior of a device of a computer system. The method is arranged to be performed by a processing system. The method includes deriving values, m1, . . . , mN, of a metric, M, representative of data associated with the device; modeling a distribution of the values; and determining, in accordance with the distribution of the values, the probability of observing a more extreme value of the metric than a given value, in, of the metric, wherein the probability is used to determine whether the device is behaving anomalously.

Abstract: Disclosed herein is a method for use in detection of anomalous behavior of a device of a computer system. The method is arranged to be performed by a processing system. The method includes deriving values, m1, . . . , mN, of a metric, M, representative of data associated with the device; modeling a distribution of the values; and determining, in accordance with the distribution of the values, the probability of observing a more extreme value of the metric than a given value, m, of the metric, wherein the probability is used to determine whether the device is behaving anomalously.

Abstract: Disclosed herein is a method for use in detection of anomalous behavior of a device of a computer system. The method is arranged to be performed by a processing system. The method includes deriving values, m1, . . . , mN, of a metric, M, representative of data associated with the device; modeling a distribution of the values; and determining, in accordance with the distribution of the values, the probability of observing a more extreme value of the metric than a given value, m, of the metric, wherein the probability is used to determine whether the device is behaving anomalously. Also disclosed is an equivalent computer readable medium and anomalous behavior detection system.

Abstract: Disclosed herein is a method for use in detection of anomalous behavior of a device of a computer system. The method is arranged to be performed by a processing system. The method includes deriving values, m1, . . . , mN, of a metric, M, representative of data associated with the device; modeling a distribution of the values; and determining, in accordance with the distribution of the values, the probability of observing a more extreme value of the metric than a given value, m, of the metric, wherein the probability is used to determine whether the device is behaving anomalously.

Abstract: A transaction platform that automatically reconciles and tags administrative healthcare information including transactions (claims, remittances, payments) related to a patient encounter, and makes the transactional information accessible to the provider via a portal. The reconciliation and tagging associates components of the transaction in a unique and identifiable way, and presents the associated information about the encounter in a manner that the provider can view the revenue cycle from the first transaction related to any given encounter to the final transaction related to the encounter and every payment made associated with the encounter.

Abstract: A healthcare accounts receivable valuation data consolidator (valuator or valuation engine) receives and/or fetches data and uses the data to predict and share the valuation of claims submitted by a healthcare provider (e.g., hospital, doctor, dentist, lab, durable medical equipment provider, etc.) on behalf of a claimant (e.g., patient), wherein the claimant has a payer (e.g., insurance company, government program, etc.). The valuator established or generates and shares the predicted valuation between entities.

Abstract: Continuous remote monitoring of patients based on data obtained from an implantable hemodynamic monitor provides an interactive patient management system. Using network systems, patients are remotely monitored to continuously diagnose and treat heart-failure conditions. A screen displayable summary provides continuous feedback and information to physicians, patients and authorized third parties. The quick look summary includes various sites and presentation tailored to match the patients' and physicians' needs. The quick look summary further includes intelligent features that understand and retain the user's interests, preferences and use patterns. Patients, physicians and other caregivers are seamlessly connected to monitor and serve the chronic needs of heart-failure patients in a reliable and economic manner.

Abstract: Continuous remote monitoring of patients based on data obtained from an implantable hemodynamic monitor provides an interactive patient management system. Using network systems, patients are remotely monitored to continuously diagnose and treat heart-failure conditions. A screen displayable summary provides continuous feedback and information to physicians, patients and authorized third parties. The quick look summary includes various sites and presentation tailored to match the patients' and physicians' needs. The quick look summary further includes intelligent features that understand and retain the user's interests, preferences and use patterns. Patients, physicians and other caregivers are seamlessly connected to monitor and serve the chronic needs of heart-failure patients in a reliable and economic manner.

Abstract: A transaction platform that automatically reconciles and tags administrative healthcare information including transactions (claims, remittances, payments) related to a patient encounter, and makes the transactional information accessible to the provider via a portal. The reconciliation and tagging associates components of the transaction in a unique and identifiable way, and presents the associated information about the encounter in a manner that the provider can view the revenue cycle from the first transaction related to any given encounter to the final transaction related to the encounter and every payment made associated with the encounter. Payers also can view these transactions and the associated payments.

Abstract: Continuous remote monitoring of patients based on data obtained from an implantable hemodynamic monitor provides an interactive patient management system. Using network systems, patients are remotely monitored to continuously diagnose and treat heart-failure conditions. A screen displayable summary provides continuous feedback and information to physicians, patients and authorized third parties. The quick look summary includes various sites and presentation tailored to match the patients' and physicians' needs. The quick look summary further includes intelligent features that understand and retain the user's interests, preferences and use patterns. Patients, physicians and other caregivers are seamlessly connected to monitor and serve the chronic needs of heart-failure patients in a reliable and economic manner.

Abstract: A healthcare accounts receivable valuation data consolidator (valuator or valuation engine) receives and/or fetches data and uses the data to predict and share the valuation of claims submitted by a healthcare provider (e.g., hospital, doctor, dentist, lab, durable medical equipment provider, etc.) on behalf of a claimant (e.g., patient), wherein the claimant has a payer (e.g., insurance company, government program, etc.). The valuator established or generates and shares the predicted valuation between entities.

Abstract: Continuous remote monitoring of patients based on data obtained from an implantable hemodynamic monitor provides an interactive patient management system. Using network systems, patients are remotely monitored to continuously diagnose and treat heart-failure conditions. A screen displayable summary provides continuous feedback and information to physicians, patients and authorized third parties. The quick look summary includes various sites and presentation tailored to match the patients' and physicians' needs. The quick look summary further includes intelligent features that understand and retain the user's interests, preferences and use patterns. Patients, physicians and other caregivers are seamlessly connected to monitor and serve the chronic needs of heart-failure patients in a reliable and economic manner.

Abstract: Continuous remote monitoring of patients based on data obtained from an implantable hemodynamic monitor provides an interactive patient management system. Using network systems, patients are remotely monitored to continuously diagnose and treat heart-failure conditions. A screen displayable summary provides continuous feedback and information to physicians, patients and authorized third parties. The quick look summary includes various sites and presentation tailored to match the patients' and physicians' needs. The quick look summary further includes intelligent features that understand and retain the user's interests, preferences and use patterns. Patients, physicians and other caregivers are seamlessly connected to monitor and serve the chronic needs of heart-failure patients in a reliable and economic manner.

Abstract: Continuous remote monitoring of patients based on data obtained from an implantable hemodynamic monitor provides an interactive patient management system. Using network systems, patients are remotely monitored to continuously diagnose and treat heart-failure conditions. A screen displayable summary provides continuous feedback and information to physicians, patients and authorized third parties. The quick look summary includes various sites and presentation tailored to match the patients' and physicians' needs. The quick look summary further includes intelligent features that understand and retain the user's interests, preferences and use patterns. Patients, physicians and other caregivers are seamlessly connected to monitor and serve the chronic needs of heart-failure patients in a reliable and economic manner.

Abstract: Continuous remote monitoring of patients based on data obtained from an implantable hemodynamic monitor provides an interactive patient management system. Using network systems, patients are remotely monitored to continuously diagnose and treat heart-failure conditions. A screen displayable summary provides continuous feedback and information to physicians, patients and authorized third parties. The quick look summary includes various sites and presentation tailored to match the patients' and physicians' needs. The quick look summary further includes intelligent features that understand and retain the user's interests, preferences and use patterns. Patients, physicians and other caregivers are seamlessly connected to monitor and serve the chronic needs of heart-failure patients in a reliable and economic manner.