Abstract:
Disclosed herein are techniques related to dynamic forecasts. The techniques may involve obtaining, from a medical device, measurement data for a patient; forecasting a plurality of values for a condition of the patient based on a forecasting model and the obtained measurement data; providing a graphical user interface depicting the plurality of forecasted values and comprising a plurality of adjustable graphical user interface elements, each associated with a time period and an activity or event likely to influence the condition; obtaining an adjustment to a first adjustable graphical user interface element; in response to obtaining the adjustment to the first adjustable graphical user interface element, updating at least one of the forecasted values based on the adjustment to the first adjustable graphical user interface element, the obtained measurement data, and the forecasting model; and dynamically updating the graphical user interface to reflect the updated at least one forecasted value.
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 operating methods are provided. A method of operating an infusion device involves determining a reference insulin absorption curve for the patient based at least in part on demographic data associated with the patient, determining a contextual adjustment factor based at least in part on a current patient context, calculating an adjusted insulin absorption curve for the patient as a function of the reference insulin absorption curve and the contextual adjustment factor, and determining a bolus dosage of the insulin based at least in part on the adjusted insulin absorption curve.
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:
The system disclosed here includes a computer-implemented patient therapy management and coaching system, a database system to collect and maintain patient data associated with a plurality of medical device users that includes a trainee patient assigned to a coach, and a user device communicatively coupled to the patient therapy management and coaching system and associated with the coach. The management and coaching system is operative to: receive a patient request for coaching; process the request to automatically identify goals to be achieved by the trainee patient; communicate the goals to the coach's user device; receive an accepted goal selected from the identified goals; create a patient coaching program for the accepted goal; generate insight messages based on patient data collected for the trainee patient, the generated insight messages related to the patient coaching program; and deliver the generated insight messages to the user device associated with the coach.
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:
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:
Disclosed herein are techniques related to glucose estimation without continuous glucose monitoring. In some embodiments, the techniques may involve receiving input data associated with a user. The input data may comprise discrete blood glucose measurement data associated with the user, activity data associated with the user, contextual data associated with the user, or a combination thereof. The techniques may also involve using an estimation model and the input data associated with the user to generate one or more estimated blood glucose values associated with the user.
Abstract:
Disclosed herein are techniques related to glucose estimation without continuous glucose monitoring. In some embodiments, the techniques may involve receiving input data associated with a user. The input data may comprise discrete blood glucose measurement data associated with the user, activity data associated with the user, contextual data associated with the user, or a combination thereof. The techniques may also involve using an estimation model and the input data associated with the user to generate one or more estimated blood glucose values associated with the user.
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.