Advancements in Securing Communication in Glucose Monitoring Systems

Enabling seamless transfer of glucose monitoring data between devices and systems like EMRs without requiring wired connections or user accounts. The method involves establishing associations between patient records from a glucose monitoring system and an EMR. When a request is made to access glucose data from the monitoring system, it compares the patient's identifying info to determine if the records exist. If so, it provides the glucose data. If not, it notifies the requesting system. This allows integrated glucose monitoring without user intervention or account setup.

Optimizing RF communication in medical devices like glucose monitors to improve reliability and reduce constraints on data transmission. The method involves separating urgent versus non-urgent data and transmitting them separately. Urgent data like glucose levels are sent immediately in full packets, while non-urgent data like calibration is broken into segments and transmitted in multiple packets. This allows more non-urgent data to be transmitted within the limited time window without compromising urgent data delivery. The method also involves using proximity commands between devices like a sensor and receiver to trigger specific functions like sensor removal detection. This reduces power consumption by putting the sensor in sleep mode when disconnected.

Transmitting and receiving biometric information between a sensor and a device in a continuous monitoring system reduces the load of determining whether biometric information was received at every regular interval. Instead, it checks for unreceived data only at longer non-receipt intervals and selectively requests missing data if needed. This reduces processing and energy waste compared to constant checking.

Securely communicating analyte sensor data from medical devices like continuous glucose monitors to other devices like smartphones without compromising data integrity, confidentiality, or regulatory requirements. It involves a dedicated module on the reader device (like a smartphone) that manages pairing, connection, and secure data transfer between the sensor device and other electronics. This allows sharing of sensor data while meeting medical device compliance needs. The module also provides features like encryption, access control, and data logging to ensure proper handling of sensitive sensor data.

Medical device features to help users monitor and manage analyte levels like blood glucose. The devices provide alerts, alarms, and reminders to assist users in maintaining proper analyte levels. Alerts indicate when measurements fall outside ideal ranges. Alarms are more urgent and indicate when measurements are in critical ranges. Reminders prompt retesting after initial measurements outside ideal ranges. The features can be customized and locked by authorized individuals to prevent unintended changes.

Pairing multiple displays like smartphones and dedicated glucose monitors to a continuous glucose monitor transmitter in a secure manner. The displays are limited to a fixed number of connections to prevent overloading the transmitter. Periodic exchange of application keys ensures secure communication. The transmitter authenticates devices based on their type. This allows users to carry multiple displays and switch between them without losing data consistency.

Continuous glucose monitoring system that allows efficient and reliable data transmission between a glucose sensor and display devices like smartphones. It reduces connection time and power consumption by optimizing the initial pairing process, minimizing advertisement signals, rejecting unwanted requests, and switching between devices. It also customizes the data sent to each device based on its capabilities. The system allows continuous monitoring with multiple devices without overwhelming the sensor.

Quick and intuitive near field connection method for continuous glucose monitoring systems that involves using an image recognition code on the device to simplify and accelerate the connection process between the body attachable glucose sensor and a communication terminal like a phone. The code contains the device identifier and pairing code. When scanned, the terminal searches for the device using the ID and then connects using the stored pairing code. This allows easy reconnection if the code is lost by retrieving it from a server.

A diabetes management system that allows flexible and configurable wireless communication between an implantable glucose sensor, display devices, and other diabetes management devices like insulin pumps. The system uses a diabetes management partner interface to enable devices like insulin pumps to access and modify sensor configuration parameters. This allows customization of sensor behavior to accommodate specific requirements of devices like pumps. The interface also facilitates configurable connections between devices to balance features like alerts vs battery life.

Wireless communication of glucose data from a glucose sensor to multiple devices like a primary display and secondary displays, while conserving battery life and maintaining reliability. The sensor can pair with devices using advertisement messages. When connected, it transmits encrypted glucose data to the primary display. If the primary isn't present, it uses shorter-range, lower-power wireless to transmit to secondary displays. The sensor can also reconfigure ad duration to prioritize secondary displays if needed. This allows reliable multi-display glucose monitoring without sacrificing battery life.

System to securely collect, analyze, and report continuous glucose monitoring (CGM) data from multiple monitors. The system involves a distributed architecture with CGM devices, display devices, cloud servers, and an analysis engine. The data is classified by sensitivity and selectively transmitted through the architecture to control access to restricted data like patient IDs. Encryption and common APIs are used.