Dexcom, Inc.

Eli Reihman

Katherine Yerre Koehler

Rian W Draeger

Michael Robert Mensinger

Eric Cohen

Leif N Bowman

Phil Mayou

Hari Hampapuram

Peter C Simpson

Angela Marie Traven

Apurv Ullas Kamath

Brian Christopher Smith

Esteban Cabrera, Jr

Laura J Dunn

Thomas Hall

Paul D Kramer

Paul Noble-Campbell

Andrew Attila Pal

Naresh Chandra Bhavaraju

Arturo Garcia

David Price

Philip Thomas Pupa

Scott M Belliveau

Gary A Morris

Nicholas Polytaridis

Nathaniel David Heintzman

Kostyantyn Snisarenko

Anna Leigh Davis

Aditya Sagar Mandapaka

Alexandra Elena Constantin

Lauren Hruby Jepson

Atiim Joseph Wiley

Tomas C Walker

Andrea Jean Jackson

Subrai Girish Pai

Eric Johnson

Matthew T Vogel

Kassandra Constantine

Aarthi Mahalingam

Holly Chico

Daniel Smith

Shawn Larvenz

Stephen J Vanslyke

Benjamin Elrod West

Christopher Robert Hannemann

Basab Dattaray

Anna Claire Harley-Trochimczyk

Daniel Justin Wiedeback

Rita M Castillo

Gary Brian Gable

Samuel Jere Marsh

Ashley Anne Rindfleisch

Sofie Wells Schunk

Jacob S Leach

Jennifer Blackwell

John Michael Gray

Jorge Valdes

Kenneth San Vicente

Sumitaka Mikami

Keri Leone

Katherine Yerre Grubstein

Sheryl Sadsarin Gaano

Robert James Boock

Adam R Greene

Dan Kraemer

Matthew Lawrence Johnson

Shane Philip Delmore

Georgios Zamanakos

Jeffrey Grant Stewart

Lauren C Miller

Katherine Eng Kirby

Greg Kida

Rebecca Gimenez

Sarah Paige Elli

Alexandra Lynn Carlton

Mark Dervaes

Timothy Joseph Goldsmith

Patrick Wile McBride

Edward Day

Dana Minor

Scott A Moss

Neil Puri

Conrad Woods

Laurie L Berg

Lauren Danielle Armenta

Hemant Mahendra Nirmal

Sebastian Bohm

Douglas William Burnette

Disha B Sheth

David DeRenzy

Anna Leigh Rack-Gomer

Michael Levozier Moore

Andrew Atilla Pal

Mark Wu

Derek James Escobar

Peter Hedlund

Keri Weindel

Jack Pryor

Matthew D Wightlin

Michael J Estes

Methods and apparatus, including computer program products, are provided for remote monitoring. In some example implementations, there is provided a method. The method may include receiving, at a remote monitor, a notification message representative of an event detected, by a server, from analyte sensor data obtained from a receiver monitoring an analyte state of a host; presenting, at the remote monitor, the notification message to activate the remote monitor, wherein the remote monitor is configured by the server to receive the notification message to augment the receiver monitoring of the analyte state of the host; accessing, by the remote monitor, the server, in response to the presenting of the notification message; and receiving, in response to the accessing, information including at least the analyte sensor data. Related systems, methods, and articles of manufacture are also disclosed.

Remote monitoring of analyte measurements

Systems and methods for processing, transmitting and displaying data received from an analyte sensor, such as a glucose sensor, are provided. The data can be displayed on a hand-held display device having a display such as a key fob device including a user interface, such as an LCD and one or more buttons allows a user to view data, and a physical connector, such as USB port.

Systems and methods for processing and transmitting sensor data

Systems and methods are described that provide a dynamic reporting functionality that can identify important information and dynamically present a report about the important information that highlights important findings to the user. The described systems and methods are generally described in the field of diabetes management, but are applicable to other medical reports as well. In one implementation, the dynamic reports are based on available data and devices. For example, useless sections of the report, such as those with no populated data, may be removed, minimized in importance, assigned a lower priority, or the like.

System and method for data analytics and visualization

Systems and methods are disclosed that provide smart alerts to users, e.g., alerts to users about diabetic states that are only provided when it makes sense to do so, e.g., when the system can predict or estimate that the user is not already cognitively aware of their current condition, e.g., particularly where the current condition is a diabetic state warranting attention. In this way, the alert or alarm is personalized and made particularly effective for that user. Such systems and methods still alert the user when action is necessary, e.g., a bolus or temporary basal rate change, or provide a response to a missed bolus or a need for correction, but do not alert when action is unnecessary, e.g., if the user is already estimated or predicted to be cognitively aware of the diabetic state warranting attention, or if corrective action was already taken.

System and method for providing alerts optimized for a user

The present embodiments provide systems and methods for, among others, tracking sensor insertion locations in a continuous analyte monitoring system. Data gathered from sensor sessions can be used in different ways, such as providing a user with a suggested rotation of insertion locations, correlating data from a given sensor session with sensor accuracy and/or sensor session length, and providing a user with a suggested next insertion location based upon past sensor accuracy and/or sensor session length at that location.

Indicator and analytics for sensor insertion in a continuous analyte monitoring system and related methods

The present disclosure relates to systems, devices and methods for receiving biosensor data acquired by a medical device, e.g., relating to glucose concentration values, and controlling the access and distribution of that data. In some embodiments, systems and methods are disclosed for monitoring glucose levels, displaying data relating to glucose values and metabolic health information, and controlling distribution of glucose data between applications executing on a computer, such as a smart phone. In some embodiments, systems and methods are disclosed for controlling access to medical data such as continuously monitored glucose levels, synchronizing health data relating to glucose levels between multiple applications executing on a computer, and/or encrypting data.

Systems and methods for distributing continuous glucose data

This disclosure provides systems, methods and apparatus for processing, transmitting and displaying data received from an analyte sensor, such as a glucose sensor. The system may include a display device with at least one input device. In response to movement of or along the input device, the display device may change a glucose data output parameter and update an output of the display device using the changed output parameter.

Receivers for analyzing and displaying sensor data

Systems and methods are provided to determine a time to provide guidance to a user regarding management of a physiologic condition such as diabetes. The determination may be based upon a model or pattern. The time to deliver guidance may be calculated to be useful to a user in the management of a glucose concentration level.

System and method for providing personalized guidance to diabetes patients

Systems and methods that continuously adapt aspects of a continuous monitoring device based on collected information to provide an individually tailored configuration are described. The adaptations may include adapting the user interface, the alerting, the motivational messages, the training, and the like. Such adaptation can allow a patient to more readily identify and understand the information provided by/via the device.

Adaptive interface for continuous monitoring devices

A system, a method, and a computer program product for providing wearable continuous blood glucose monitoring. In some embodiments, there is provided a method that includes receiving, at a smartwatch, an alert representative of a glucose state of a host-patient coupled to a glucose sensor; detecting, at the smartwatch, a predetermined action indicative of a request to generate a glance view providing an indication of the glucose state of the host-patient; and presenting, at the smartwatch and in response to the detecting, the glance view providing the indication of the glucose state of the host-patient.

Wearable apparatus for continuous blood glucose monitoring

Disclosed are systems and methods for providing automated or semi-automated technical support for patients using medical devices, such as continuous glucose monitoring systems. Disclosed embodiments of automated tech support system include collection and storage of copies of streams of medical device data on multiple servers, analysis and comparison of data streams, remote tech support initiation and usage of the automated tech support system for providing improved products and services by storing and analyzing historical tech support data.

Systems and methods for technical support of continuous analyte monitoring and sensor systems

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.

Systems and methods for health data visualization and user support tools for continuous glucose monitoring

Display screen or portion thereof with a graphical user interface with icons

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San Diego, CA, United States of America

Eli Reihman