Dexcom, Inc.

Daniel Justin Wiedeback

Apurv Ullas Kamath

Eli Reihman

Rian W Draeger

Shane Philip Delmore

Leif N Bowman

David Price

Adam R Greene

Dan Kraemer

Keri Leone

Lauren C Miller

Katherine Eng Kirby

Greg Kida

Rebecca Gimenez

Sarah Paige Elli

Georgios Zamanakos

Jeffrey Grant Stewart

Peter C Simpson

Michael Robert Mensinger

Katherine Yerre Koehler

Eric Cohen

Hari Hampapuram

Naresh Chandra Bhavaraju

Arturo Garcia

Phil Mayou

John Michael Gray

Jennifer Blackwell

Anna Leigh Davis

Andrew Attila Pal

Nicholas Polytaridis

Philip Thomas Pupa

Scott M Belliveau

Lauren Hruby Jepson

Alexandra Elena Constantin

Tomas C Walker

Basab Dattaray

Nathaniel David Heintzman

Matthew Lawrence Johnson

Patrick Wile McBride

Sumitaka Mikami

Subrai Girish Pai

Matthew T Vogel

Justin E Schumacher

Jeremy Crawford Sloan

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

In some example embodiments, there is provided a method, which includes sending a message to a server, wherein the message includes a request for a share code to enable another user to access, via a first computer, analyte data obtained from a host-patient associated with a receiver and/or an analyte report for the host-patient associated with the receiver; receiving, in response to the sending, the share code generated by the server, wherein the share code comprises a checksum portion, a password portion, and an identifier portion indicative of the host-patient; generating a user interface view including the share code; and displaying the user interface view including the share code, wherein the share code enables the other user to access, via the first computer, the analyte data and/or the analyte report. Related systems, methods, and articles of manufacture are also disclosed.

Sharing continuous glucose data and reports

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 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.

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Portland, OR, United States of America

Daniel Justin Wiedeback