Dexcom, Inc.

Rian W Draeger

Katherine Yerre Koehler

Eli Reihman

Eric Cohen

Michael Robert Mensinger

Leif N Bowman

Brian Christopher Smith

Apurv Ullas Kamath

Esteban Cabrera, Jr

Angela Marie Traven

Phil Mayou

Laura J Dunn

Philip Thomas Pupa

Scott M Belliveau

Hari Hampapuram

Paul D Kramer

Anna Leigh Davis

Gary A Morris

Paul Noble-Campbell

Nicholas Polytaridis

Peter C Simpson

Atiim Joseph Wiley

Alexandra Elena Constantin

Benjamin Elrod West

Christopher Robert Hannemann

Tomas C Walker

Arturo Garcia

Andrew Attila Pal

Thomas Hall

Subrai Girish Pai

Naresh Chandra Bhavaraju

Aditya Sagar Mandapaka

Lauren Hruby Jepson

Nathaniel David Heintzman

Andrea Jean Jackson

Shawn Larvenz

Timothy Joseph Goldsmith

Matthew T Vogel

Patrick Wile McBride

David Price

Daniel Smith

Stephen J Vanslyke

Anna Claire Harley-Trochimczyk

Daniel Justin Wiedeback

Samuel Jere Marsh

Gary Brian Gable

Rita M Castillo

Ashley Anne Rindfleisch

Sofie Wells Schunk

Francis William Pascual

Matthew Lawrence Johnson

Philip Mansiel Pellouchoud

Kevin Shoemaker

Aarthi Mahalingam

John Michael Gray

Jennifer Blackwell

Sumitaka Mikami

Sheryl Sadsarin Gaano

Basab Dattaray

Adam R Greene

Dan Kraemer

Anna Leigh Rack-Gomer

Shane Philip Delmore

Keri Leone

Sarah Paige Elli

Rebecca Gimenez

Greg Kida

Katherine Eng Kirby

Lauren C Miller

Jeffrey Grant Stewart

Georgios Zamanakos

Peter Galuardi

Mark Dervaes

Hemant Mahendra Nirmal

Lauren Danielle Armenta

Michael Levozier Moore

Andrew Atilla Pal

Katherine Yerre Grubstein

Derek James Escobar

Philip J Mayou

Esteban Cabrera

Paul Kramer

Jr Esteban Cabrera

Daniel Justin Weideback

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

Methods, devices and systems are disclosed for inter-app communications between software applications on a mobile communications device. In one aspect, a computer-readable medium on a mobile computing device comprising an inter-application communication data structure to facilitate transitioning and distributing data between software applications in a shared app group for an operating system of the mobile computing device includes a scheme field of the data structure providing a scheme id associated with a target software app to transition to from a source software app, wherein the scheme id is listed on a scheme list stored with the source software app; and a payload field of the data structure providing data and/or an identification where to access data in a shared file system accessible to the software applications in the shared app group, wherein the payload field is encrypted.

Methods for providing an alert or an alarm to a user of a mobile communications device

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

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

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

Growing community of inventors

San Diego, CA, United States of America

Rian W Draeger