Abstract: Medical devices and related patient management systems and event detection methods are provided. An exemplary method of detecting events pertaining to operation of a medical device, such as an infusion device, involves obtaining measurements indicative of a condition in a body of a patient, determining statistics for an analysis interval based on the measurements, and determining an event probability associated with the analysis interval based on historical event data associated with the patient. An event detection model associated with the patient is obtained and applied to the statistics and the event probability to identify occurrence of the event using the event detection model, and in response, an indication of the event associated with the analysis interval is provided, for example, by tagging or marking data in a database, displaying graphical indicia of the event, or the like.

Abstract: Infusion devices and related medical devices, patient data management systems, and methods are provided for monitoring a physiological condition of a patient. An exemplary database system includes a database to maintain data pertaining to a plurality of entities and a computing device coupled to the database to identify relationships between different entities of the plurality of entities, generate metadata defining a graph structure maintaining the relationships between the different entities of the plurality of entities for a plurality of different logical layers, and store the metadata in the database.

Abstract: Infusion devices and related medical devices, patient data management systems, and methods are provided for monitoring a physiological condition of a patient. An exemplary method involves obtaining measurement data pertaining to the physiological condition of the patient, obtaining medical record data associated with the patient, classifying the patient into a patient group based at least in part on the measurement data and the medical record data, obtaining a plurality of different uplift models associated with the patient group for a plurality of different therapy interventions, determining a plurality of uplift metric values associated with the patient for the plurality of different therapy interventions based on the measurement data and the medical record data using the plurality of different uplift models, and providing an indication of a recommended therapy intervention for the patient based at least in part on a respective uplift metric value associated with the recommended therapy intervention.

Abstract: Infusion devices and related medical devices, patient data management systems, and methods are provided for monitoring a physiological condition of a patient. An exemplary method of querying a database involves receiving an input query from a client device, identifying a logical layer of a plurality of different logical layers of the database for searching based at least in part on the input query, generating a query statement for searching the identified logical layer of the plurality of different logical layers of the database based at least in part on the input query, querying the identified logical layer of the database using the query statement to obtain result data, and providing a search result influenced by the result data.

Abstract: Infusion devices and related medical devices, patient data management systems, and methods are provided for monitoring a physiological condition of a patient. An exemplary method of monitoring a physiological condition of a patient involves obtaining measurement data pertaining to the physiological condition of the patient from a sensing arrangement, obtaining medical record data associated with the patient from a database, determining a risk score associated with the patient for a medical condition based at least in part on the measurement data, the medical record data, and one or more relationships between population measurement data and population medical record data, and initiating one or more actions based at least in part on the risk score.

Abstract: Infusion devices and related medical devices, patient data management systems, and methods are provided for monitoring a physiological condition of a patient. An exemplary infusion device includes an actuation arrangement operable to deliver fluid to a user, a communications interface to receive measurement data indicative of a physiological condition of the user, a sensing arrangement to obtain contextual measurement data, and a control system coupled to the actuation arrangement, the communications interface and the sensing arrangement to determine a command for autonomously operating the actuation arrangement in a manner that is influenced by the measurement data and the contextual measurement data and autonomously operate the actuation arrangement in accordance with the command to deliver the fluid to the user.

Abstract: Infusion devices and related medical devices, patient data management systems, and methods are provided for monitoring a physiological condition of a patient.

Abstract: Medical devices and related patient management systems and event detection methods are provided. An exemplary method of detecting events pertaining to operation of a medical device, such as an infusion device, involves obtaining measurements indicative of a condition in a body of a patient, determining statistics for an analysis interval based on the measurements, and determining an event probability associated with the analysis interval based on historical event data associated with the patient. An event detection model associated with the patient is obtained and applied to the statistics and the event probability to identify occurrence of the event using the event detection model, and in response, an indication of the event associated with the analysis interval is provided, for example, by tagging or marking data in a database, displaying graphical indicia of the event, or the like.

Abstract: A computer-implemented system and related method of managing use of a diabetes management device are presented here. An embodiment of the method obtains a number of glycemic insight messages for delivery to a user device associated with a user of the diabetes management device, each of the glycemic insight messages conveying information regarding a relationship between an insight event derived from patient-specific historical input data and a glycemic outcome. The glycemic insight messages are culled and prioritized to identify a group of insight messages intended for delivery. The method continues by queuing the group of insight messages based on the culling and prioritizing, and communicating at least one of the queued insight messages to the user device.

Abstract: A computer-implemented system and related method of managing use of a diabetes management device are presented here. An embodiment of the method obtains input data for a user of the diabetes management device, and compares the input data against historical event/outcome combinations maintained for the user. Each of the event/outcome combinations includes insight event data indicative of a glycemic event and a glycemic outcome corresponding to the insight event data. The method determines, based on the comparing, a correlation between the input data and a glycemic outcome. The method continues by generating a glycemic insight message for delivery to the user, wherein the glycemic insight message includes information regarding a relationship between at least some of the input data and the glycemic outcome.

Abstract: A computer-implemented system and related method of reporting glucose information for a user of a diabetes management device are presented here. An embodiment of the method obtains input data for the user of the diabetes management device, and identifies a glycemic response event based on an analysis of the obtained input data. The method generates a user-specific graphical representation of a glucose response to the glycemic response event. The method continues by delivering the generated graphical representation of the glucose response to a user device operated by the user.

Abstract: A computer-implemented system and related method of reporting glucose information for a user of a diabetes management device are presented here. An embodiment of the method obtains input data for the user of the diabetes management device, and identifies a tracked glycemic response event. One or more recommended glycemic control parameters are calculated based on an analysis of the obtained input data. The glycemic control parameters are calculated to extend a time period during which the user remains within a target glucose range following the tracked glycemic response event. The method continues by generating an output message that includes at least some of the recommended glycemic control parameters, and delivering the generated output message to a user device operated by the user of the diabetes management device.