Abstract: Disclosed are systems and methods for generating graphical displays of analyte data and/or health information. In some implementations, the graphical displays are generating based on a self-referential dataset that are modifiable based on identified portions of the data. The modified graphical displays can indicate features in the analyte data of a host.

Abstract: Intelligent (smart) tracking accessories for a medicine dispensing device, such as an injection pen or pen device, are described. A smart tracking accessory in the form of a smart cap for a medicine dispensing device, such as an insulin pen, is configured to protect the needle of the dispensing device and the medicine contained therein when the device is not in use. The smart cap may detect the presence of the medicine dispensing device, detect an activation event such as removal from the medicine dispensing device, inform the user whether it is safe to administer a therapeutic dose of medicine, and log occurrence of the dosing event.

Abstract: Disclosed are systems and methods for generating graphical displays of analyte data and/or health information. In some implementations, the graphical displays are generating based on a self-referential dataset that are modifiable based on identified portions of the data. The modified graphical displays can indicate features in the analyte data of a host.

Abstract: Medical devices critical to patient health and safety that communicate with third party hardware and software, such as smart devices, require validation to ensure compatibility and correct performance. Disclosed are methods and systems to perform a self-validation of hardware and/or software components with a medical device to confirm that any combination of hardware and software are compatible and perform acceptably. If the self-validation passes then the user may safely use the system, and it may report to a cloud server that the particular configuration tested was successful. If the self-validation fails, the user will be prevented from using safety-critical aspects of the application and be notified of the incompatibility; and the results may also be reported to a cloud server.

Abstract: Systems, devices, and techniques are disclosed for administering and tracking medicine to patients and providing health management capabilities for patients and caregivers. In some aspects, a system includes an injection pen device in communication with a mobile communication device having a software application to determine a recommended dose based on prior dose data, analyte data, and nutrient data and to generate a report illustrative of a relationship between the medicine data, the health data, and the contextual data.

Abstract: Systems, devices, and techniques are disclosed for administering and tracking medicine to patients and providing health management capabilities for patients and caregivers. In some aspects, a system includes an injection pen device in communication with a mobile communication device having a software application to determine a recommended dose based on prior dose data, analyte data, and nutrient data and to generate a report illustrative of a relationship between the medicine data, the health data, and the contextual data.

Abstract: Systems, devices, and techniques are disclosed for administering and tracking medicine to patients and providing health management capabilities for patients and caregivers. In some aspects, a system includes an injection pen device including a dose setting mechanism, a dispensing mechanism, and an electronics unit to generate dose data associated with a dispensing event of a dose of the medicine dispensed from the injection pen device and time data associated with the dispensing event; a mobile device in wireless communication to receive and process the dose data; and a software application configured to determine a recommended dose based on health data and contextual data associated with a user of the injection pen device, the software application including a learning dose calculator module to adaptively calculate the recommended dose of the medicine based on time-relevant and circumstances-relevant data specific to the user of the injection pen device.

Abstract: Medical devices critical to patient health and safety that communicate with third party hardware and software, such as smart devices, require validation to ensure compatibility and correct performance. Disclosed are methods and systems to perform a self-validation of hardware and/or software components with a medical device to confirm that any combination of hardware and software are compatible and perform acceptably. If the self-validation passes then the user may safely use the system, and it may report to a cloud server that the particular configuration tested was successful. If the self-validation fails, the user will be prevented from using safety-critical aspects of the application and be notified of the incompatibility; and the results may also be reported to a cloud server.

Abstract: Medical devices critical to patient health and safety that communicate with third party hardware and software, such as smart devices, require validation to ensure compatibility and correct performance. Disclosed are methods and systems to perform a self-validation of hardware and/or software components with a medical device to confirm that any combination of hardware and software are compatible and perform acceptably. If the self-validation passes then the user may safely use the system, and it may report to a cloud server that the particular configuration tested was successful. If the self-validation fails, the user will be prevented from using safety-critical aspects of the application and be notified of the incompatibility; and the results may also be reported to a cloud server.

Abstract: Disclosed are systems and methods for determining a dose of insulin that compensates for past carbohydrates consumed, adjusts for blood glucose (BG) trend as well as BG value, and mitigates potential inaccuracies associated with double-counting or overcorrecting, where safeguards are applied to the determination of the insulin dose.

Abstract: Systems, devices, and techniques are disclosed for differentiating a therapeutic dose and a priming event to properly administer medication to patients. In one example aspect, a method for differentiating therapeutic doses and priming events in administering a medication to a patient includes determining a time window for monitoring dispensing of the medication by an injection pen device. Multiple dispense events each releasing an amount of the medication occur in the time window. The method also includes classifying dispense events prior to a last dispense event in the time window as priming events or therapeutic doses and designating the last dispense event in the time window as a therapeutic dose for facilitating calculation and tracking of a dosage amount for the patient.

Abstract: Disclosed are systems and techniques providing alternatives to traditional insulin dose calculators that involve little to no input from a patient user of a medicine injection device, including a fixed-dose titration therapy dose calculator and a streamlined dose calculator. In some aspects, a system for administering a medicine using a fixed-dose titration protocol includes an injection pen device in wireless communication with a mobile communication device comprising a software application to determine a recommended one or more fixed-dose sizes of the insulin based on (i) health data, including first glucose level of a patient user of the injection pen device that is measured prior to consumption of a meal and a second glucose level of the patient user that is measured within a predefined time period after consumption of the meal, and (ii) meal data, including a meal type of the meal and a meal size of the meal.

Abstract: Medical devices critical to patient health and safety that communicate with third party hardware and software, such as smart devices, require validation to ensure compatibility and correct performance. Disclosed are methods and systems to perform a self-validation of hardware and/or software components with a medical device to confirm that any combination of hardware and software are compatible and perform acceptably. If the self-validation passes then the user may safely use the system, and it may report to a cloud server that the particular configuration tested was successful. If the self-validation fails, the user will be prevented from using safety-critical aspects of the application and be notified of the incompatibility; and the results may also be reported to a cloud server.

Abstract: Intelligent (smart) tracking accessories for a medicine dispensing device, such as an injection pen or pen device, are described. A smart tracking accessory in the form of a smart cap for a medicine dispensing device, such as an insulin pen, is configured to protect the needle of the dispensing device and the medicine contained therein when the device is not in use. The smart cap may detect the presence of the medicine dispensing device, detect an activation event such as removal from the medicine dispensing device, inform the user whether it is safe to administer a therapeutic dose of medicine, and log occurrence of the dosing event.

Abstract: Systems, devices, and techniques are disclosed for administering and tracking medicine to patients and providing health management capabilities for patients and caregivers. In some aspects, a system includes an injection pen device in communication with a mobile communication device having a software application to determine a recommended dose based on prior dose data, analyte data, and nutrient data and to generate a report illustrative of a relationship between the medicine data, the health data, and the contextual data.