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What is Open mHealth?

Data schemas establish the framework and details of various information types, such as glucose levels in the blood, which directly impacts how software applications handle that data. Frequently, systems need to integrate information from diverse devices or platforms, each offering its own distinct presentation of data. When all data pertinent to a particular measurement, such as blood glucose, conforms to a standardized schema, it significantly enhances the ease of analysis and interpretation, irrespective of its initial source. A unified schema serves as a reliable reference point for documentation, enabling the utilization of data across various contexts. In healthcare, the significance of shared data schemas is amplified due to the complexity and critical nature of health-related information. For example, distinguishing between fasting and non-fasting glucose levels is vital for precise clinical assessments and informed decision-making. This common understanding not only allows healthcare providers to communicate effectively but also fosters collaboration among different specialties to ensure patients receive the best care possible. Ultimately, a cohesive approach to data schemas in healthcare can lead to improved outcomes and more efficient healthcare systems.

What is Hillo?

We are excited to present a flexible API that integrates effortlessly with your diabetes management platform, providing customized therapeutic education along with deeper insights into fluctuations in blood glucose levels. This innovative solution allows for real-time risk assessments, which promotes a higher degree of personalization and better regulation of the system while skillfully navigating the complexities of rapid glucose changes in daily life. With the rise of telemedicine and the power of retrospective analysis, patients are equipped with comprehensive decision-support tools that enhance their management capabilities. Currently, Hillo is working on the next phases of its AI technology, which includes a therapeutic recommendation system focused on preventing both hypoglycemia and hyperglycemia, with expectations to achieve CE mark class IIB by 2020. Furthermore, a next-generation artificial pancreas is scheduled for release in 2021, set to overcome the critical limitations of current models through ultra-personalization powered by machine learning. This pioneering initiative introduces the first self-learning artificial intelligence, designed to anticipate blood glucose levels, with the goal of obtaining a CE mark as a certified medical device, thus revolutionizing diabetes management for users. Ultimately, the advancements made by Hillo have the potential to greatly improve the quality of life for those living with diabetes, empowering them to manage their condition with newfound confidence and precision.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Open mHealth

Company Location

United States

Company Website

www.openmhealth.org

Company Facts

Organization Name

Hillo

Company Location

France

Company Website

www.hillo.ai/

Categories and Features

Healthcare Analytics

Not specified

Categories and Features

Healthcare AI

Not specified

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