Abstract:
A method of managing use of an insulin infusion device is presented here. The method identifies bolus calculator event data from glucose data for a user of the infusion device. The bolus calculator event data corresponds to use of a bolus calculator that calculates bolus dosage recommendations based on a user entered carbohydrate consumption value, a user entered current blood glucose value, a user specific carbohydrate ratio value, and a user specific insulin sensitivity value. The method filters the bolus calculator event data to remove glucose data associated with certain conditions, and analyzes the filtered data to detect an event occurrence that is indicative of potential maladjustment of the carbohydrate ratio value or the insulin sensitivity value. The method outputs a recommendation to adjust the carbohydrate ratio value or the insulin sensitivity value, based on characteristics of the detected event occurrence.
Abstract:
Infusion systems, infusion devices, and related patient monitoring systems and methods are provided. A method of monitoring a physiological condition of a patient involves providing, on a display device, a graphical user interface display depicting forecast values with respect to different time periods in the future and including graphical user interface elements to allow a user to adjust a characteristic of an event likely influence the physiological condition of the patient at a respective time period. In response to an adjustment to a graphical user interface element, the method continues by dynamically updating the forecast values on the graphical user interface display using a forecasting model associated with the patient.
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 current measurement data for the physiological condition of the patient provided by a sensing arrangement, obtaining a user input indicative of one or more future events associated with the patient, and in response to the user input, determining a prediction of the physiological condition of the patient in the future based at least in part on the current measurement data and the one or more future events using one or more prediction models associated with the patient, and displaying a graphical representation of the prediction on a display device.
Abstract:
Infusion systems, infusion devices, and related patient monitoring systems and methods are provided. A method of managing a physiological condition of a patient using infusion of a fluid to influence the physiological condition of the patient involves obtaining a cost function representative of a desired performance for a bolus of the fluid to be delivered, obtaining a value for the physiological condition of the patient at a time corresponding to the bolus, determining a prediction for the physiological condition of the patient after the time corresponding to the bolus based at least in part on the value for the physiological condition using a prediction model, identifying a recommended amount of fluid to be associated with the bolus input to the prediction model that minimizes a cost associated with the prediction using the cost function, and providing indication of the recommended amount of fluid for the bolus.
Abstract:
Infusion systems, infusion devices, and related patient monitoring systems and methods are provided. A method of monitoring a physiological condition of a patient involves obtaining, from a medical device, measurement data indicative of a current state of the patient, obtaining environmental context information for the patient, identifying a recommended activity for the patient based at least in part on the environmental context information using the measurement data indicative of a current state of the patient, and providing, on a display device, an indication of the recommended activity for the patient.
Abstract:
Infusion systems, infusion devices, and related patient monitoring systems and methods are provided. A method of monitoring a physiological condition of a patient involves obtaining, from a medical device, data indicative of a current state of the patient, obtaining a probable patient response model for the physiological condition after the current state, the probable patient response model being based on historical data associated with one or more historical patient states corresponding to the current state, optimizing an activity attribute input variable to the probable patient response model for achieving an output from the probable patient response model within a target range for the physiological condition of the patient based on the current state, and providing, on a display device, a recommendation indicating an optimal value for the activity attribute input variable.
Abstract:
A computer-implemented therapy management system is operated to collect patient data associated with medical device users. Treatment of the users is managed by healthcare professionals (HCPs), which include a customer HCP and a plurality of non-customer HCPs. The system receives a first set of attributes for a first individual patient or a first group of patients under care of the customer HCP, and a second set of attributes for a second individual patient or a second group of patients. The system identifies a first set of patient records associated with the customer HCP that satisfy the received first attributes, and a second set of patient records that satisfy the received second attributes, and compares patient outcomes from the first set of records against patient outcomes from the second set of records. A comparative therapy report is generated and communicated to a client device associated with the customer HCP.
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, obtaining a plurality of different adherence models associated with a plurality of different therapy regimens, wherein each adherence model of the plurality of different adherence models corresponds to a respective therapy regimen of a plurality of different therapy regimens, determining a plurality of adherence metric values associated with the patient for the plurality of different therapy regimens based on the measurement data and the medical record data using the plurality of different adherence models, and providing an indication of a recommended therapy regimen for the patient based at least in part on a respective adherence metric value associated with the recommended therapy regimen.
Abstract:
Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device involves obtaining a filtered measurement indicative of a physiological condition of a user, determining a metric indicative of a characteristic of the filtered measurement based at least in part on one or more derivative metrics associated with the filtered measurement, and determining an output measurement indicative of the physiological condition of the user based at least in part on the filtered measurement, the metric, and a previous output measurement.