Dexcom, Inc.

Tandem Diabetes Care, Inc.

Bigfoot Biomedical, Inc.

Alexandra Elena Constantin

Apurv Ullas Kamath

Gary A Morris

Nicholas Polytaridis

Peter C Simpson

Katherine Yerre Koehler

Hari Hampapuram

Rian W Draeger

Anna Leigh Davis

Philip Thomas Pupa

Scott M Belliveau

Tomas C Walker

Christopher Robert Hannemann

Benjamin Elrod West

Lauren Hruby Jepson

Eli Reihman

Naresh Chandra Bhavaraju

Arturo Garcia

Andrew Attila Pal

Subrai Girish Pai

Stephen J Vanslyke

Daniel Smith

Michael Robert Mensinger

Leif N Bowman

Aditya Sagar Mandapaka

Laura J Dunn

Thomas Hall

Atiim Joseph Wiley

Anna Claire Harley-Trochimczyk

Matthew Lawrence Johnson

Douglas William Burnette

Aarthi Mahalingam

Brian Christopher Smith

Eric Cohen

Matthew D Wightlin

Esteban Cabrera, Jr

Phil Mayou

Mark Dervaes

John Michael Gray

Jennifer Blackwell

Basab Dattaray

Michael Michaud

Geoffrey A Kruse

Richard Chien Yang

Thomas R Ulrich

David DeRenzy

Zebediah L McDaniel

Nathaniel David Heintzman

Matthew T Vogel

Andrea Jean Jackson

Vincent Peter Crabtree

Ashley Anne Rindfleisch

Sofie Wells Schunk

Rita M Castillo

Gary Brian Gable

Samuel Jere Marsh

Jorge R Barreras

Mario Remon

Peter Galuardi

Patrick Wile McBride

Sumitaka Mikami

Kevin S Lee

Corydon A Hinton

Michael Levozier Moore

Stephen Alan Reichert

Daniel Justin Wiedeback

Paul Harris

James Stephen Amidei

Philip Mansiel Pellouchoud

Kamuran Turksoy

Garrett Marin

Minda McDorman Grucela

Sarah Kate Pickus

Darin Edward Chum Dew

Steven David King

Robert Patrick Van Tassel

Virginia S Lu

Leah Ziegler

Ghazaleh R Esmaili

Todd N Haseyama

Zahra Eghtesadi

Kho Braun

Esteban Cabrera

Jr Cabrera Esteban

Rian Draeger

Jr Esteban Cabrera

Daniel Justin Weideback

Abhishek Sharma

Dana Charles Cambra

Various examples are directed to systems and methods for generating a bolus dose for a host. A bolus application may display a first bolus configuration parameter question at a user interface and receive, through the user interface, a first answer to the first bolus configuration parameter question. The first answer may describe a previous bolus determination technique of the host. The bolus application may select a second bolus configuration parameter question using the first answer and provide the second bolus configuration parameter question at the user interface. The bolus application may determine a set of at least one bolus configuration parameter using the first answer and a second answer to the second bolus configuration parameter question.

Managing bolus doses

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, devices, and methods are disclosed for wireless communication of analyte data. In embodiments, a method of using a diabetes management partner interface to configure an analyte sensor system for wireless communication with a plurality of partner devices is provided. The method includes the analyte sensor system receiving authorization to provide one of the partner devices with access to a set of configuration parameters via the diabetes management partner interface. The set of configuration parameters is stored in a memory of the analyte sensor system. The method also includes, responsive to input received from the one partner device via the diabetes management partner interface, the analyte sensor system setting or causing a modification to the set of configuration parameters, according to a system requirement of the one partner device.

Diabetes management partner interface for wireless communication of analyte data

Apparatuses and methods for transitioning to sleep mode or otherwise modified glucose target range in automated insulin delivery systems. For example, sleep mode can include a lower glucose target and/or lower and narrower glucose target range because of fewer variables that affect glucose values during sleep such as eating and exercise. Due to increased stability provided by the sleep mode target range, it is desirable to transition to the sleep mode target range as quickly as possible, while ensuring the transition is done safely and does not risk low glucose or hypoglycemia by too quickly switching to the lower and narrower target range. Systems and methods disclosed herein therefore provide various approaches for safely and quickly transitioning to sleep mode or other modified target ranges in order to improve time in range by being more aggressive to get to the lower sleep mode or other target faster without risking hypoglycemia.

Transitioning to other modes in automated insulin delivery

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.

Disclosed are systems and methods for secure and seamless set up and modification of bolus calculator parameters for a bolus calculator tool by a health care provider (HCP). In one aspect, a method for enabling HCP set up of a bolus calculator includes providing a server accessible by both an HCP and a patient; upon login by the HCP, displaying, or transmitting for display, a fillable form, the fillable form including one or more fields for entry of one or more bolus calculator parameters; receiving data from the fillable form, the data corresponding to one or more bolus calculator parameters; and upon login by the patient, transmitting data to a device associated with the patient, the transmitted data based on the received data, where the transmitted data corresponds to one or more of the bolus calculator parameters in a format suitable for entry to a bolus calculator.

Systems and methods for CGM-based bolus calculator for display and for provision to medicament delivery devices

Growing community of inventors

San Diego, CA, United States of America

Alexandra Elena Constantin