Dexcom, Inc.

Ortho-clinical Diagnostics, Inc

Andrew Attila Pal

Apurv Ullas Kamath

Peter C Simpson

Eli Reihman

Naresh Chandra Bhavaraju

Arturo Garcia

Leif N Bowman

Katherine Yerre Koehler

Hari Hampapuram

Stephen J Vanslyke

Rian W Draeger

Anna Leigh Davis

Nicholas Polytaridis

Lauren Hruby Jepson

Nathaniel David Heintzman

Michael Robert Mensinger

Laura J Dunn

Philip Thomas Pupa

Thomas Hall

Scott M Belliveau

Alexandra Elena Constantin

Tomas C Walker

Aditya Sagar Mandapaka

Gary A Morris

Subrai Girish Pai

Matthew T Vogel

Eric Cohen

Daniel Smith

Benjamin Elrod West

Christopher Robert Hannemann

Atiim Joseph Wiley

Anna Claire Harley-Trochimczyk

Basab Dattaray

Andrea Jean Jackson

Rita M Castillo

Gary Brian Gable

Samuel Jere Marsh

Ashley Anne Rindfleisch

Sofie Wells Schunk

Daiting Rong

Disha B Sheth

Aarthi Mahalingam

Thomas Arnold Peyser

Phil Mayou

Esteban Cabrera, Jr

Michael J Estes

Jorge Valdes

Sebastian Böhm

Matthew Lawrence Johnson

Dmytro Sokolovsky

Douglas William Burnette

Anna Leigh Rack-Gomer

Stephen M Madigan

Issa Sami Salameh

Tifo Vu Hoang

Steven David King

Michael Ranen Tyler

Brian Christopher Smith

Matthew D Wightlin

John Michael Gray

Jennifer Blackwell

Ted Tang Lee

Jeff Jackson

Jonathan Hughes

Patrick Wile McBride

Sumitaka Mikami

Daniel Justin Wiedeback

Edward Day

Dana Minor

Scott A Moss

Neil Puri

Conrad Woods

Laurie L Berg

Robert James Boock

Jason M Halac

David Price

Becky L Clark

Rui Ma

Jason Mitchell

David DeRenzy

Chris W Dring

Zebediah L McDaniel

Vincent Peter Crabtree

Michael Levozier Moore

David I-Chun Lee

Liang Wang

Alexander Leroy Teeter

Mark Wu

Derek James Escobar

Jack Pryor

James R Petisce

Shawn Larvenz

Mark Dervaes

Paul D Kramer

Angela Marie Traven

Paul Noble-Campbell

Phong Lieu

Adonis Stassinopoulos

Sheryl Sadsarin Gaano

James Jinwoo Lee

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

A method for performing a lateral flow assay is provided. The method includes inserting a sample cartridge () in a dark chamber () and activating a light emitter () in the dark chamber (). The method includes focusing an optical coupling mechanism () in an image-capturing device () to optimize an image of a sensitive area () in the sample cartridge () and capturing, with an image capturing device (), an image of a sensitive area () in the sample cartridge () after a selected period of time. The method also includes providing the image of the sensitive area () to a processor, wherein the processor comprises an image-capturing application (). A system and a computer-implemented method to perform at least partially the above method are also provided.

System and methods for remote assessment of a sample assay for disease diagnostics

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

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 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

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, methods, and articles for determining compatibility of a mobile application and operating system on a mobile device. In some aspects, a method includes receiving one or more data values from a mobile device having a mobile medical software application installed thereon, the data value(s) characterizing a version of the software application, a version of an operating system installed on the mobile device, and one or more attributes of the mobile device; determining whether the mobile medical software application is compatible with the operating system by at least comparing the received data value(s) to one or more test values in a configuration file; and sending a message to the mobile device based on the determining, the message causing the software application to operate in one or more of a normal mode, a safe mode, and a non-operational mode.

Compatibility check for continuous glucose monitoring application

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.

Systems and methods are provided that address the need to frequently calibrate analyte sensors, according to implementation. In more detail, systems and methods provide a preconnected analyte sensor system that physically combines an analyte sensor to measurement electronics during the manufacturing phase of the sensor and in some cases in subsequent life phases of the sensor, so as to allow an improved recognition of sensor environment over time to improve subsequent calibration of the sensor.

Automatic analyte sensor calibration and error detection

The subject matter disclosed herein provides methods for presenting glucose level data. Glucose data for a patient may be received. A current glucose level and a rate of change of the current glucose level may be determined based on the received glucose data. A first interface may be displayed on a screen of a device. The first interface may include a unitary icon. The unitary icon may display the current glucose level and a visualization of the rate of change. Related apparatus, systems, techniques, and articles are also described.

User interfaces for continuous glucose monitoring

Growing community of inventors

San Diego, CA, United States of America

Andrew Attila Pal