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WO2005081170A2 - Diabetes management and patient database system via mobile communication device - Google Patents

Diabetes management and patient database system via mobile communication device Download PDF

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Publication number
WO2005081170A2
WO2005081170A2 PCT/ZA2005/000036 ZA2005000036W WO2005081170A2 WO 2005081170 A2 WO2005081170 A2 WO 2005081170A2 ZA 2005000036 W ZA2005000036 W ZA 2005000036W WO 2005081170 A2 WO2005081170 A2 WO 2005081170A2
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WO
WIPO (PCT)
Prior art keywords
insulin
user
remote unit
communication device
mobile communication
Prior art date
Application number
PCT/ZA2005/000036
Other languages
French (fr)
Other versions
WO2005081170A8 (en
Inventor
Edward Henry Mathews
Original Assignee
Edward Henry Mathews
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Edward Henry Mathews filed Critical Edward Henry Mathews
Publication of WO2005081170A2 publication Critical patent/WO2005081170A2/en
Publication of WO2005081170A8 publication Critical patent/WO2005081170A8/en

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Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires

Definitions

  • THIS INVENTION relates the fields of diabetes management and diagnosis. It also relates to the fields of diabetes research and testing of diabetes products. Said invention assists the diabetic user to control blood glucose levels while also providing researchers/caretakers with valuable feedback and data of the specific user. Said invention is an application implemented on a mobile communication device to assist the user with his/her blood glucose control but also to capture data of said user and transmit this data to a remote server with processing and storage means to process data received and notifies said user of any suggestions regarding their blood glucose control. Data capture by the remote processing means can also be used for data analysis which proves useful in clinical trials and/or other research investigating methods of improving blood glucose control.
  • the main objective of this invention is to assist the diabetic user in blood glucose control by using a software application on a mobile communication device in conjunction with a remote unit able of receiving relevant diabetes data captured and entered into the mobile communication device as input, processing received data and sending suggestions to improve blood sugar control of the user to the user.
  • Said remote unit will also store all data received in a large database on the storage means of the remote unit.
  • ⁇ Remote processing unit can improve insulin dosage calculation by using the dataset available of the user on the storage means of remote system and combining it with latest research and software algorithms to improve blood sugar control of said user.
  • ⁇ Datasets created of every user can present researchers with valuable data concerning the blood sugar levels, insulin usage, dietary patterns and other information of the diabetic user.
  • Valuable data can provide pharmaceutical and other companies statistics regarding insulin usage, dietary patterns, and user profiles of their clients; which can be used to improve their products and present their clients with improved products.
  • Potential problems can quickly be identified by analyzing recorded datasets and therefore reducing the time to improve drugs and also allowing the identification of side effects that certain drugs may have on certain patients.
  • Figure 1 shows the configuration of invention showing the main components of the system and the communication taking place.
  • DETAILED DESCRIPTION Said invention consists of a configuration, which includes at least two elements namely a mobile communication device (e.g. cellular phone) and a remote unit capable of communicating with said communication device and with adequate processing capability to process the information received.
  • a mobile communication device will be used by diabetic user, which will send and receive data relevant to his/her diabetes management to and from a remote unit able of receiving, storing and processing this data.
  • the mobile communication device will consist of at least an input means, processing means, storage means and communication means. Other components typically found in a mobile communication device will not be discussed. Said mobile communication device will make use of a software application to capture data relevant to diabetes management of the user on a regular basis. These include: ⁇ exact time of any event, ⁇ blood glucose levels, ⁇ insulin injection dosages, type of insulin used, mixes used, ⁇ food intake (type and size of meals), ⁇ exercises and other activities, ⁇ user data such as weight, length, age, gender, diseases, allergies, sensitivity to insulin, sensitivity towards ETS and other related factors. During daily operation the user will enter the time of any events, food intake, exercise, blood glucose levels and information regarding insulin administration with the input means of the mobile communication device. The software application will then display data on the output means of the mobile communication device and present the user with several menus to select items from food, exercise and medication databases and to set parameter values.
  • the software application on the mobile communication device will then send data over communication means of mobile communication device.
  • the data will be transmitted towards a remote system able of receiving and processing the data.
  • the remote unit will use newly received data and previous recorded data of said diabetic user in conjunction with the latest blood glucose level - and insulin prediction algorithms to calculate the type and measure of the corrective action needed to control the blood sugar level.
  • the remote unit will consist of at least a communication means, processing means and a storage means.
  • the remote unit will be able to communicate with the communication network used by the mobile communication device for communication. This communication channel will be used to establish a bidirectional communication link between remote unit and mobile communication device.
  • the remote server will receive data captured by mobile communication device.
  • the remote server will then use the new data received, recorded data stored in the storage means, use blood glucose prediction models and insulin dosage prediction models executed by the processing means of the remote unit and then send results back to the mobile communication device for the use of the diabetic user.
  • the remote unit will maintain large databases for storing information about users of the server together with their daily values of measured blood glucose levels, insulin usage, food intake, exercise activities and other factors captured and communicated through to the remote unit. This is helpful to analyze large quantities of centralized data to identify patterns or trends. This may prove helpful in conducting clinical trials or to make better generalized suggestions for patients.
  • the software application is designed for a mobile communication device. This application will be downloaded onto said mobile communication device. The device will prompt user or allow user to enter or select the following.
  • ⁇ Food intake The user can select from a menu structure the type and quantity of food or beverages being ingested. Large food databases with food items can be downloaded from the remote unit.
  • Exercises and other activities The user can select from a menu structure the type and duration of physical activity being performed.
  • Insulin/Medication usage The user can enter the type of insulin being used and also insulin dosages being injected. Other medications can also be entered.
  • e ⁇ User data The user can enter personal information such as name, age, duration of diabetes disease, type of diabetic, height, weight, insulin sensitivity and carbohydrate sensitivity.
  • ⁇ Medication The user can enter information on other medication being used
  • Medical history Users can enter their medical history.
  • Allergies An allergy list can be created on the cellular phone.
  • Remote unit can check if food being ingested contain allergenic elements and send back a warning message to said diabetic user.
  • the relevant data needed for insulin dosage calculation and/or recording of user data on storage means of remote unit can then be sent to the remote unit via the communication means of the mobile communication device.
  • the software application will control what information is sent
  • All information received from diabetic users sent with the mobile communication device will be stored on the storage means of the remote unit.
  • This data can be used by pharmaceutical companies for research purposes to gather information on their clients, trends that may exist in diabetes and the treatment thereof.
  • This data can also be used to improve insulin calculation algorithms but using previous data stored of a specific user and also improving prediction models in general. It will also provide a new method of gathering important data for clinical trials.
  • This invention assists diabetic users with blood glucose control by using a software application on a mobile communication device in conjunction with a remote unit receiving relevant data as input, processing received data and sending suggestions to improve blood sugar control of said user.
  • Said remote unit stores data received in database on storage means.
  • Remote processing unit improves insulin dosage calculation by using the datasets available of users combining it with latest research and software algorithms to improve blood sugar control of said user.
  • User datasets presents researchers with valuable data concerning the blood sugar levels, insulin usage, dietary patterns and other information of the diabetic users. This provides pharmaceutical and other companies statistics regarding insulin usage, dietary patterns, and user profiles of their clients; which can be used to improve their products and present their clients with improved products. Potential problems can quickly be identified by analyzing recorded datasets and therefore reducing the time to improve drugs and allow the identification of side effects that certain drugs may have on certain patients.

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Biomedical Technology (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Medicinal Chemistry (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Chemical & Material Sciences (AREA)
  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

This invention assists diabetic users with blood glucose control by using a software application on a mobile communication device in conjunction with a remote unit receiving relevant data as input, processing received data and sending suggestions to improve blood sugar control of said user. Said remote unit stores data received in database on storage means. Remote processing unit improves insulin dosage calculation by using the datasets available of users combining it with latest research and software algorithms to improve blood sugar control of said user. User datasets presents researchers with valuable data concerning the blood sugar levels, insulin usage, dietary patterns and other information of the diabetic users. This provides pharmaceutical and other companies statistics regarding insulin usage, dietary patterns, and user profiles of their clients; which can be used to improve their products and present their clients with improved products. Potential problems can quickly be identified by analyzing recorded datasets and therefore reducing the time to improve drugs and allow the identification of side effects that certain drugs may have on certain patients.

Description

DIABETES MANAGEMENT AND PATIENT DATABASE SYSTEM VIA MOBILE COMMUNICATION DEVICE AND REMOTE PROCESSING UNIT
THIS INVENTION relates the fields of diabetes management and diagnosis. It also relates to the fields of diabetes research and testing of diabetes products. Said invention assists the diabetic user to control blood glucose levels while also providing researchers/caretakers with valuable feedback and data of the specific user. Said invention is an application implemented on a mobile communication device to assist the user with his/her blood glucose control but also to capture data of said user and transmit this data to a remote server with processing and storage means to process data received and notifies said user of any suggestions regarding their blood glucose control. Data capture by the remote processing means can also be used for data analysis which proves useful in clinical trials and/or other research investigating methods of improving blood glucose control.
OBJECTIVES AND ADVANTAGES The main objective of this invention is to assist the diabetic user in blood glucose control by using a software application on a mobile communication device in conjunction with a remote unit able of receiving relevant diabetes data captured and entered into the mobile communication device as input, processing received data and sending suggestions to improve blood sugar control of the user to the user. Said remote unit will also store all data received in a large database on the storage means of the remote unit. The main advantages can be summarized as follows. α Suggestions can be made to said insulin dependant diabetic users to help control their blood sugar levels by taking meals, exercises, insulin regime and various person specific factors into account. α Remote processing unit can improve insulin dosage calculation by using the dataset available of the user on the storage means of remote system and combining it with latest research and software algorithms to improve blood sugar control of said user. α Datasets created of every user can present researchers with valuable data concerning the blood sugar levels, insulin usage, dietary patterns and other information of the diabetic user. α Valuable data can provide pharmaceutical and other companies statistics regarding insulin usage, dietary patterns, and user profiles of their clients; which can be used to improve their products and present their clients with improved products. α Potential problems can quickly be identified by analyzing recorded datasets and therefore reducing the time to improve drugs and also allowing the identification of side effects that certain drugs may have on certain patients. α Allows a new way of conducting clinical trials for diabetic and other medication by improving the process by which data is gathered from trial subjects.
BRIEF DESCRIPTION OF DRAWINGS Figure 1 shows the configuration of invention showing the main components of the system and the communication taking place.
DETAILED DESCRIPTION Said invention consists of a configuration, which includes at least two elements namely a mobile communication device (e.g. cellular phone) and a remote unit capable of communicating with said communication device and with adequate processing capability to process the information received. A mobile communication device will be used by diabetic user, which will send and receive data relevant to his/her diabetes management to and from a remote unit able of receiving, storing and processing this data.
Mobile Communication Device
The mobile communication device will consist of at least an input means, processing means, storage means and communication means. Other components typically found in a mobile communication device will not be discussed. Said mobile communication device will make use of a software application to capture data relevant to diabetes management of the user on a regular basis. These include: □ exact time of any event, α blood glucose levels, α insulin injection dosages, type of insulin used, mixes used, α food intake (type and size of meals), α exercises and other activities, □ user data such as weight, length, age, gender, diseases, allergies, sensitivity to insulin, sensitivity towards ETS and other related factors. During daily operation the user will enter the time of any events, food intake, exercise, blood glucose levels and information regarding insulin administration with the input means of the mobile communication device. The software application will then display data on the output means of the mobile communication device and present the user with several menus to select items from food, exercise and medication databases and to set parameter values.
The software application on the mobile communication device will then send data over communication means of mobile communication device. The data will be transmitted towards a remote system able of receiving and processing the data. The remote unit will use newly received data and previous recorded data of said diabetic user in conjunction with the latest blood glucose level - and insulin prediction algorithms to calculate the type and measure of the corrective action needed to control the blood sugar level.
Remote unit
The remote unit will consist of at least a communication means, processing means and a storage means. The remote unit will be able to communicate with the communication network used by the mobile communication device for communication. This communication channel will be used to establish a bidirectional communication link between remote unit and mobile communication device.
The remote server will receive data captured by mobile communication device. The remote server will then use the new data received, recorded data stored in the storage means, use blood glucose prediction models and insulin dosage prediction models executed by the processing means of the remote unit and then send results back to the mobile communication device for the use of the diabetic user. The remote unit will maintain large databases for storing information about users of the server together with their daily values of measured blood glucose levels, insulin usage, food intake, exercise activities and other factors captured and communicated through to the remote unit. This is helpful to analyze large quantities of centralized data to identify patterns or trends. This may prove helpful in conducting clinical trials or to make better generalized suggestions for patients.
Software Application
The software application is designed for a mobile communication device. This application will be downloaded onto said mobile communication device. The device will prompt user or allow user to enter or select the following. α Food intake: The user can select from a menu structure the type and quantity of food or beverages being ingested. Large food databases with food items can be downloaded from the remote unit. α Exercises and other activities: The user can select from a menu structure the type and duration of physical activity being performed. α Insulin/Medication usage: The user can enter the type of insulin being used and also insulin dosages being injected. Other medications can also be entered. e α User data: The user can enter personal information such as name, age, duration of diabetes disease, type of diabetic, height, weight, insulin sensitivity and carbohydrate sensitivity. □ Medication: The user can enter information on other medication being used α Medical history: Users can enter their medical history. α Allergies: An allergy list can be created on the cellular phone. Remote unit can check if food being ingested contain allergenic elements and send back a warning message to said diabetic user. The relevant data needed for insulin dosage calculation and/or recording of user data on storage means of remote unit can then be sent to the remote unit via the communication means of the mobile communication device. The software application will control what information is sent
Databases on remote unit
All information received from diabetic users sent with the mobile communication device will be stored on the storage means of the remote unit. This data can be used by pharmaceutical companies for research purposes to gather information on their clients, trends that may exist in diabetes and the treatment thereof. This data can also be used to improve insulin calculation algorithms but using previous data stored of a specific user and also improving prediction models in general. It will also provide a new method of gathering important data for clinical trials.
ABSTRACT
This invention assists diabetic users with blood glucose control by using a software application on a mobile communication device in conjunction with a remote unit receiving relevant data as input, processing received data and sending suggestions to improve blood sugar control of said user. Said remote unit stores data received in database on storage means. Remote processing unit improves insulin dosage calculation by using the datasets available of users combining it with latest research and software algorithms to improve blood sugar control of said user. User datasets presents researchers with valuable data concerning the blood sugar levels, insulin usage, dietary patterns and other information of the diabetic users. This provides pharmaceutical and other companies statistics regarding insulin usage, dietary patterns, and user profiles of their clients; which can be used to improve their products and present their clients with improved products. Potential problems can quickly be identified by analyzing recorded datasets and therefore reducing the time to improve drugs and allow the identification of side effects that certain drugs may have on certain patients.

Claims

1. A mobile communication device and remote unit configuration with a communication channel for capturing diabetes related information related to blood glucose control for said diabetic user with a software application executed on said mobile communication device and a receiving remote unit with an insulin prediction algorithm and processing means to calculate and notify diabetic user of the needed insulin/food intake to control blood glucose level.
2. A mobile communication device according to claim 1 with software application for capturing dynamic parameters such as food intake, exercise, activities, blood glucose levels, insulin injection dosages and the time of any of the mentioned activities with communication means of transmitting information to remote unit via an appropriate communication channel.
3. A mobile remote unit according to claim 1 with software application able of receiving information from mobile communication device software application with a storage means to store said received data and calculation algorithms; and a processing means to use data stored in database in conjunction with an appropriate insulin prediction algorithm to calculate the insulin needed by diabetic user to control blood glucose level.
4. A mobile remote unit according to any of the preceding claims with software application to analyze data of said diabetic users stored in the storage means of the remote unit and an output means of indicating the results from analyzing the said data to the user of the remote unit.
5. A mobile remote unit according to any of the preceding claims with insulin calculation algorithms with measure of built in artificial intelligence to use both current and previously stored data values of a specific diabetic user to reduce the error in the prediction of insulin needed following a certain set of parameters received from software application executed on mobile communication device.
6. A mobile communication device with software application according to any of the preceding claims with an input means allowing said user to input parameters such as age, length, weight, duration of diabetes disease, other illness, other medication being used, type of insulin(s) used, medical history, allergies, sensitivity to basic sugars and carbohydrates, sensitivity to insulin, results of medical clinical tests performed and other related information and also a storage means to store said information and a communication means to transmit said information to remote unit.
7. A mobile remote unit according to any of the preceding claims with insulin calculation algorithms able of receiving user specific parameters and information from mobile communication device and thereby configuring the insulin calculation algorithm when used for the specific diabetic user's insulin calculation. f
PCT/ZA2005/000036 2004-02-19 2005-02-18 Diabetes management and patient database system via mobile communication device WO2005081170A2 (en)

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ZA200401346 2004-02-19
ZA2004/1346 2004-02-19

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Cited By (15)

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EP1677226A1 (en) * 2005-01-04 2006-07-05 Giacomo Vespasiani Method and system for the management of data for a patient-controlled insulin therapy
WO2007065285A2 (en) * 2005-12-08 2007-06-14 F. Hoffmann-La Roche Ag System and method for determining drug administration information
EP2115690A2 (en) * 2007-02-18 2009-11-11 Abbott Diabetes Care, Inc. Method and system for providing contextual based medication dosage determination
EP2400415A3 (en) * 2007-03-20 2013-07-17 LifeScan, Inc. Systems and methods for pattern recognition in diabetes management
US9233204B2 (en) 2014-01-31 2016-01-12 Aseko, Inc. Insulin management
US9351670B2 (en) 2012-12-31 2016-05-31 Abbott Diabetes Care Inc. Glycemic risk determination based on variability of glucose levels
US9483619B2 (en) 2012-09-11 2016-11-01 Aseko, Inc. Means and method for improved glycemic control for diabetic patients
US9486580B2 (en) 2014-01-31 2016-11-08 Aseko, Inc. Insulin management
US9886556B2 (en) 2015-08-20 2018-02-06 Aseko, Inc. Diabetes management therapy advisor
US9892234B2 (en) 2014-10-27 2018-02-13 Aseko, Inc. Subcutaneous outpatient management
US9897565B1 (en) 2012-09-11 2018-02-20 Aseko, Inc. System and method for optimizing insulin dosages for diabetic subjects
US10010291B2 (en) 2013-03-15 2018-07-03 Abbott Diabetes Care Inc. System and method to manage diabetes based on glucose median, glucose variability, and hypoglycemic risk
US10383580B2 (en) 2012-12-31 2019-08-20 Abbott Diabetes Care Inc. Analysis of glucose median, variability, and hypoglycemia risk for therapy guidance
US10885152B2 (en) 2008-09-24 2021-01-05 Resmed Sensor Technologies Limited Systems and methods for monitoring quality of life parameters using non-contact sensors
US11081226B2 (en) 2014-10-27 2021-08-03 Aseko, Inc. Method and controller for administering recommended insulin dosages to a patient

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Cited By (69)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1677226A1 (en) * 2005-01-04 2006-07-05 Giacomo Vespasiani Method and system for the management of data for a patient-controlled insulin therapy
EP2194475A1 (en) * 2005-01-04 2010-06-09 Lifescan, Inc. Method and system for the management of data for a patient-controlled insulin therapy
EP2330527A3 (en) * 2005-12-08 2015-06-10 F.Hoffmann-La Roche Ag System and method for determining drug administration information
WO2007065285A2 (en) * 2005-12-08 2007-06-14 F. Hoffmann-La Roche Ag System and method for determining drug administration information
WO2007065285A3 (en) * 2005-12-08 2007-08-02 Hoffmann La Roche System and method for determining drug administration information
JP2009521249A (en) * 2005-12-08 2009-06-04 エフ．ホフマン−ラ ロシュ アーゲー System and method for determining drug administration information
US7941200B2 (en) 2005-12-08 2011-05-10 Roche Diagnostics Operations, Inc. System and method for determining drug administration information
CN102981850A (en) * 2005-12-08 2013-03-20 霍夫曼-拉罗奇有限公司 System and method for determining drug administration information
EP2330526A3 (en) * 2005-12-08 2015-07-08 F.Hoffmann-La Roche Ag System and method for determining drug administration information
EP2115690A2 (en) * 2007-02-18 2009-11-11 Abbott Diabetes Care, Inc. Method and system for providing contextual based medication dosage determination
EP2115690A4 (en) * 2007-02-18 2013-04-24 Abbott Diabetes Care Inc Method and system for providing contextual based medication dosage determination
EP2400416A3 (en) * 2007-03-20 2013-07-17 LifeScan, Inc. Systems and methods for pattern recognition in diabetes management
US8758245B2 (en) 2007-03-20 2014-06-24 Lifescan, Inc. Systems and methods for pattern recognition in diabetes management
EP2400415A3 (en) * 2007-03-20 2013-07-17 LifeScan, Inc. Systems and methods for pattern recognition in diabetes management
US10885152B2 (en) 2008-09-24 2021-01-05 Resmed Sensor Technologies Limited Systems and methods for monitoring quality of life parameters using non-contact sensors
US10891356B2 (en) 2008-09-24 2021-01-12 Resmed Sensor Technologies Limited Contactless and minimal-contact monitoring of quality of life parameters for assessment and intervention
US9483619B2 (en) 2012-09-11 2016-11-01 Aseko, Inc. Means and method for improved glycemic control for diabetic patients
US10629294B2 (en) 2012-09-11 2020-04-21 Aseko, Inc. Means and method for improved glycemic control for diabetic patients
US11733196B2 (en) 2012-09-11 2023-08-22 Aseko, Inc. System and method for optimizing insulin dosages for diabetic subjects
US10410740B2 (en) 2012-09-11 2019-09-10 Aseko, Inc. Means and method for improved glycemic control for diabetic patients
US10102922B2 (en) 2012-09-11 2018-10-16 Aseko, Inc. Means and method for improved glycemic control for diabetic patients
US9773096B2 (en) 2012-09-11 2017-09-26 Aseko, Inc. Means and method for improved glycemic control for diabetic patients
US9811638B2 (en) 2012-09-11 2017-11-07 Aseko, Inc. Means and method for improved glycemic control for diabetic patients
US9965596B2 (en) 2012-09-11 2018-05-08 Aseko, Inc. Means and method for improved glycemic control for diabetic patients
US11131643B2 (en) 2012-09-11 2021-09-28 Aseko, Inc. Method and system for optimizing insulin dosages for diabetic subjects
US9897565B1 (en) 2012-09-11 2018-02-20 Aseko, Inc. System and method for optimizing insulin dosages for diabetic subjects
US9351670B2 (en) 2012-12-31 2016-05-31 Abbott Diabetes Care Inc. Glycemic risk determination based on variability of glucose levels
US10019554B2 (en) 2012-12-31 2018-07-10 Abbott Diabetes Care Inc. Glycemic risk determination based on variability of glucose
US10383580B2 (en) 2012-12-31 2019-08-20 Abbott Diabetes Care Inc. Analysis of glucose median, variability, and hypoglycemia risk for therapy guidance
US11331051B2 (en) 2012-12-31 2022-05-17 Abbott Diabetes Care Inc. Analysis of glucose median, variability, and hypoglycemia risk for therapy guidance
USD1030780S1 (en) 2013-03-15 2024-06-11 Abbott Diabetes Care Inc. Display screen or portion thereof with graphical user interface for continuous glucose monitoring
US11304664B2 (en) 2013-03-15 2022-04-19 Abbott Diabetes Care Inc. System and method to manage diabetes based on glucose median, glucose variability, and hypoglycemic risk
US11963801B2 (en) 2013-03-15 2024-04-23 Abbott Diabetes Care Inc. Systems and methods for use of insulin information for meal indication
US10010291B2 (en) 2013-03-15 2018-07-03 Abbott Diabetes Care Inc. System and method to manage diabetes based on glucose median, glucose variability, and hypoglycemic risk
US11311213B2 (en) 2014-01-31 2022-04-26 Aseko, Inc. Insulin management
US9604002B2 (en) 2014-01-31 2017-03-28 Aseko, Inc. Insulin management
US10255992B2 (en) 2014-01-31 2019-04-09 Aseko, Inc. Insulin management
US12127831B2 (en) 2014-01-31 2024-10-29 Aseko, Inc. Insulin management
US12027266B2 (en) 2014-01-31 2024-07-02 Aseko, Inc. Insulin management
US10453568B2 (en) 2014-01-31 2019-10-22 Aseko, Inc. Method for managing administration of insulin
US10535426B2 (en) 2014-01-31 2020-01-14 Aseko, Inc. Insulin management
US9965595B2 (en) 2014-01-31 2018-05-08 Aseko, Inc. Insulin management
US10811133B2 (en) 2014-01-31 2020-10-20 Aseko, Inc. System for administering insulin boluses to a patient
US9898585B2 (en) 2014-01-31 2018-02-20 Aseko, Inc. Method and system for insulin management
US9892235B2 (en) 2014-01-31 2018-02-13 Aseko, Inc. Insulin management
US11081233B2 (en) 2014-01-31 2021-08-03 Aseko, Inc. Insulin management
US9233204B2 (en) 2014-01-31 2016-01-12 Aseko, Inc. Insulin management
US9486580B2 (en) 2014-01-31 2016-11-08 Aseko, Inc. Insulin management
US11158424B2 (en) 2014-01-31 2021-10-26 Aseko, Inc. Insulin management
US11857314B2 (en) 2014-01-31 2024-01-02 Aseko, Inc. Insulin management
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