Abstract: A method for estimating glucose values of a user and an insulin infusion and management system are provided. The insulin infusion and management system can include an insulin infusion device configured to deliver insulin to a user; a blood glucose meter; a source of user activity data; and a processor-based computing device that supports data communication with the insulin infusion device. A processor device of the computing device can perform a method for estimating glucose values of a user. In accordance with the method, a first set of inputs can be received and processed via an estimation model for a user to generate a set of estimated glucose values that track actual glucose values.

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: A system and method of placing an order on a digital platform. The method encompasses transmitting to a user device, a payable amount based on a created order. Further the method comprises receiving from the user device, a split pay request to pay the payable amount via a plurality of third-party payment instruments, wherein the split pay request comprises at least a user selected payment share of the payable amount for each of the plurality of third-party payment instruments. The method thereafter comprises initiating, the payment for the payable amount from each of the plurality of third-party payment instruments based on the split pay request and a payment initiation user input. The method further comprises identifying, a successful or an unsuccessful payment of each user selected payment share of the payable amount. Further the method leads to placing, the order based on the identified successful payment.

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: 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: 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 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 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. 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: An optimized population model that estimates blood glucose values for a population of users is generated by mapping received data for the population of users over a time period to a sequence of estimated blood glucose values for the population of users over the time period. Discrete blood glucose measurement data for each user, user activity data for each user, and other contextual data for each user can be processed via a supervised machine learning model to learn a transfer function for a population model that estimates blood glucose values for the population of users. One or more parameters of the learning model can be adjusted to generate the optimized population model.

Abstract: Data for a particular user can be received from a number of different input channels over a time period. The received data can include discrete blood glucose measurement data, user activity data and other contextual data for the user. The received data can be processed to generate an input data set, which can then be processed along with information from a population model, via a supervised machine learning model, to learn a transfer function for a personal model for the user that estimates blood glucose values for the user by mapping the received data to a sequence of estimated blood glucose values for the user. Parameters of the supervised machine learning model can be adjusted to generate an optimized personal model of the user that estimates blood glucose values for the user by mapping the received data to the sequence of estimated blood glucose values for the user.

Abstract: Infusion devices, systems and related methods of autonomously delivering fluid to a patient are disclosed. One method involves monitoring a current operational context during autonomous operation of the infusion device to deliver fluid to a patient in accordance with an operating mode using an initial value for a control parameter, and in response to identifying an adjusted value for the control parameter associated with the current operational context, autonomously operating the infusion device to deliver the fluid to the patient in accordance with the operating mode using the adjusted value for the control parameter in lieu of the initial value and thereafter reverting the control parameter to the initial 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: 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 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 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, systems and related methods of autonomously delivering fluid to a patient are disclosed. One method involves monitoring a current operational context during autonomous operation of the infusion device to deliver fluid to a patient in accordance with an operating mode using an initial value for a control parameter, and in response to identifying an adjusted value for the control parameter associated with the current operational context, autonomously operating the infusion device to deliver the fluid to the patient in accordance with the operating mode using the adjusted value for the control parameter in lieu of the initial value and thereafter reverting the control parameter to the initial value.

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 health care provider (HCP) assistant system includes at least one processor device and a processor-readable medium that stores executable instructions configurable to cause the at least one processor device to perform a method that collects and maintains medical device user data that includes data associated with a patient under the care of an HCP customer. The method also collects and maintains HCP data that includes data associated with the HCP customer. The collected medical device user data and the collected HCP data is reviewed to automatically generate content to assist the HCP customer in managing treatment of the patient. The generated content is provided to an HCP user system for presentation to the HCP customer.