Related Products
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About
Data schemas specify the format and content of data, such as blood glucose readings, which affects how software programs process that data. Systems often must handle data coming from many different devices or platforms, with each source describing the data differently. It is much easier to process and make sense of data if all data points for a specific measure (e.g. blood glucose) are expressed in a shared, common schema, regardless of where the data came from. A common schema serves as a single source of documentation that can be referenced whenever and wherever the data points are used. In healthcare, common data schemas are particularly important because of the semantic importance and complexity of health data. For example, the distinction between fasting and non-fasting blood glucose is critical to its clinical meaning.
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About
Connect your app to users’ real-time data from 300+ devices via a single API. Make that data usable with our white-label AI/ML services. One API with access to all the major wearable and IoT providers. Start testing right away with our easy-to-implement and well-documented API and shorten your development cycles. Enhance the functionality and UX of your application. Deliver personalized insights and increase user retention. Access wearables data in both raw and structured/normalized format while we maintain provider API upgrades, monitor new sensor releases, and API version control so that you don’t have to. Connect to Spike from any platform of your choice with as little as a few lines of code. Receive data that makes sense in an easily digestible format. Leave all that boilerplate management to us and concentrate on building value for your users. Spike technology, REST API end-points, and cloud architecture are designed with data privacy and security at heart.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Clinics searching for a Healthcare Analytics platform
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Audience
Companies and users looking for an API solution for health and fitness data for wearables and IoT devices
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationOpen mHealth
United States
www.openmhealth.org
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Company InformationSpike
United States
spikeapi.com
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Alternatives |
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Categories |
Categories |
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Integrations
Amazon Web Services (AWS)
Not Supported
Android
Not Supported
Apple Podcasts
Not Supported
CX-Programmer
Not Supported
Flutter
Not Supported
GitHub
Not Supported
Google Cloud Platform
Not Supported
Headspace for Work
Not Supported
Kotlin
Not Supported
Microsoft Azure
Not Supported
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Integrations
Amazon Web Services (AWS)
Supported
Android
Supported
Apple Podcasts
Supported
CX-Programmer
Supported
Flutter
Supported
GitHub
Supported
Google Cloud Platform
Supported
Headspace for Work
Supported
Kotlin
Supported
Microsoft Azure
Supported
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