Abstract:
A system (100) and method (80) for adaptively adjusting patient data collection (111) in an automated patient management environment (10) is presented. Wellness of a patient (14) is monitored through continual remote patient management (12). Physiological measures (42-44) are collected (81) from the patient (14) on a substantially regular basis. The collected physiological measures (42-44) are analyzed to evaluate (82) patient wellness status (32) based on an assessment to recognize a trend in status quo, progression, regression, onset, or absence of a health condition affecting the patient (14). An actionable change (83) in the wellness of the patient (14) is identified. The collection of the physiological measures (42-44) is dynamically adjusted in response to the actionable change (83).
Abstract:
A system (121) and method (50) for managing patient triage (72) in an automated patient management system (10) is presented. A criteria (71) for placement (61) of patient data (42) into a display (91) is defined for a plurality of remotely managed patients (11). The patient data (42) originates from one or more patient data sources (12-16) operating on each such patient (11) and selected from at least one of a physiological sensor (13, 15, 16) and a therapy delivery device (12, 14). An ordering (62) of the patient data (42) within the display (91) is defined based on a need of care in relation to one or more of a type (52) of health condition, severity (53) of the health condition, and facilities (54) available to attend to the health condition. An organization (63) of the patient data (42) within the display (91) is defined in relation to metadata (73) associated with the patient data (42).
Abstract:
A system (121) and method (50) for managing alert notifications (136) in an automated patient management system (10) is presented. One or more settings (51) specifying patient data (72) collection periodicity (62, 63) are defined. One or more patient data sources (12-16) operating on a remotely managed patient (11) and selected from at least one of a physiological sensor (13, 15, 16) and a therapy delivery device (12, 14) are also defined. One or more triggers (52) associated with a condition (56) occurring in relation to at least one such patient data (72) evaluateable subsequent to collection are defined. Finally, a notification scheme (53) executable upon detection of at least one such trigger (52) is determined to provide an external indicator (111-116) of the condition occurrence.
Abstract:
Systems and methods for coordinating treatment of abnormal heart activity using multiple implanted devices within a patient. In one example, a leadless cardiac pacemaker (LCP) may receive signals related to one or more physiological conditions of a patient, wherein the LCP may be configured to deliver ATP therapy to a heart. The LCP may also be configured, based at least in part on the received signals, to detect an arrhythmia. In response to detecting an arrhythmia, the LCP may determine whether to deliver ATP therapy to the heart. If the LCP determines to deliver ATP therapy, the LCP may deliver ATP therapy to the heart.
Abstract:
A system (10) and method (230) for providing a secure feature set (77) distribution infrastructure for medical device (18) management is presented. A unique association is mapped (40) for data download between a medical device (18) and a communications device (13) transiently coupleable to the medical device (18). A configuration catalog (76) is maintained, including operational characteristics (41-48) of at least one of the medical device (18) and the communications device (13). The operational characteristics (41-48) as maintained in the configuration catalog (76) are periodically checked against a database (75) storing downloadable sets of features (77) and one or more feature sets (77) including changed operational characteristics (41-48) are identified for distribution. The one or more feature sets (77) are digitally signed (103) and the one or more feature sets (77) are provided to the communications device (13) over a plurality of networks (12). The one or more feature sets (77) are authenticated (72) and their integrity is checked over a chain of trust originating with a trusted source (11) and terminating at the communications device (13).