Dexcom, Inc.

Anna Leigh Davis

Apurv Ullas Kamath

Hari Hampapuram

Katherine Yerre Koehler

Peter C Simpson

Naresh Chandra Bhavaraju

Rian W Draeger

Philip Thomas Pupa

Scott M Belliveau

Gary A Morris

Nicholas Polytaridis

Arturo Garcia

Stephen J Vanslyke

Lauren Hruby Jepson

Laura J Dunn

Benjamin Elrod West

Christopher Robert Hannemann

Alexandra Elena Constantin

Andrew Attila Pal

Leif N Bowman

Eli Reihman

Brian Christopher Smith

Esteban Cabrera, Jr

Michael Robert Mensinger

Aditya Sagar Mandapaka

Subrai Girish Pai

Daniel Smith

Thomas Hall

Aarthi Mahalingam

Francis William Pascual

Claudio Cobelli

Andrea Facchinetti

Giovanni Sparacino

Jonathan Hughes

Thomas Arnold Peyser

Michael J Estes

Sebastian Böhm

Eric Cohen

Phil Mayou

John Michael Gray

Daiting Rong

Jennifer Blackwell

Matthew D Wightlin

Jason M Halac

Mark Dervaes

Douglas William Burnette

Richard Chien Yang

Disha B Sheth

Ted Tang Lee

Jeff Jackson

Rui Ma

Becky L Clark

Jason Mitchell

David DeRenzy

Atiim Joseph Wiley

Tomas C Walker

Nathaniel David Heintzman

Matthew T Vogel

Patrick Wile McBride

Anna Claire Harley-Trochimczyk

Andrea Jean Jackson

Rita M Castillo

Gary Brian Gable

Samuel Jere Marsh

Ashley Anne Rindfleisch

Sofie Wells Schunk

Timothy Joseph Goldsmith

Matthew Lawrence Johnson

Philip Mansiel Pellouchoud

Kevin Shoemaker

Chiara Zecchin

Peter Galuardi

Basab Dattaray

Alexandra Lynn Carlton

Sumitaka Mikami

Chris W Dring

Zebediah L McDaniel

Shanger Wang

Daniel Justin Wiedeback

Vincent Peter Crabtree

Stephen Alan Reichert

Michael Levozier Moore

Jiong Zou

James Stephen Amidei

Lucas Bohnett

Michael A Bloom

David I-Chun Lee

Liang Wang

Alexander Leroy Teeter

Wenjie Lan

Minda McDorman Grucela

Darin Edward Chum Dew

Dmytro Sokolovsky

Steven David King

Robert Patrick Van Tassel

Apurv Ullas Karnath

Kho Braun

Jr Cabrera Esteban

Esteban Cabrera

Patrick Wile Mcbride

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 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

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 described provide dynamic and intelligent ways to change the required level of user interaction during use of a monitoring device. The systems and methods generally relate to real time switching between a first or initial mode of user interaction and a second or new mode of user interaction. In some cases, the switching will be automatic and transparent to the user, and in other cases user notification may occur. The mode switching generally affects the user's interaction with the device, and not just internal processing. The mode switching may relate to calibration modes, data transmission modes, control modes, or the like.

System and method for mode switching

Systems and methods for applying time-dependent algorithmic compensation functions to data output from a continuous analyte sensor. Some embodiments determine a time since sensor implantation and/or whether a newly initialized sensor has been used previously.

Systems and methods for processing analyte sensor data

Systems and methods disclosed here provide ways to discriminate fault types encountered in analyte sensors and systems and further provide ways to process such discriminated faults responsively based on sensor data, clinical context information, and other data about the patient or patient's environment. The systems and methods thus employ clinical context in detecting and/or responding to errors or faults associated with an analyte sensor system, and discriminating the type of fault, and its root cause, particularly as fault dynamics can appear similar to the dynamics of physiological systems, emphasizing the importance of discriminating the fault and providing appropriate responsive processing. Thus, the disclosed systems and methods consider the context of the patient's health condition or state in determining how to respond to the fault.

Fault discrimination and responsive processing based on data and context

Systems and methods are provided to provide guidance to a user regarding management of a physiologic condition such as diabetes. The determination may be based upon a patient glucose concentration level. The glucose concentration level may be provided to a stored model to determine a state. The guidance may be determined based at least in part on the determined state.

System and method for decision support

Systems and methods are provided to provide guidance to a user regarding management of a physiologic condition such as diabetes. The determination may be based upon a patient glucose concentration data sensed by a glucose concentration sensor. A host state change associated with the host glucose concentration data may be determined. A guidance message based at least in part on the host state change may also be determined. The guidance message may be delivered through a user interface.

Growing community of inventors

Cardiff by the Sea, CA, United States of America

Anna Leigh Davis