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
See how your data assets are used: popularity, utilization, and schema coverage. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Find and filter the data you need based on metadata tags and descriptions. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Drive data governance and ownership across your organization. Stream-lake-warehouse lineage to facilitate data ownership and collaboration. Automatically generated field-level lineage map to understand the entire data ecosystem. Anomaly detection learns from your data and seasonality patterns, with automatic backfill from historical data. Machine learning-based thresholds are trained per data segment, trained on actual data instead of metadata only.
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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
Businesses in need of a platform to build trust for confident decisions
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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
Not 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
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In Person
Not Supported
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Training
Documentation
Supported
Webinars
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 InformationValidio
Founded: 2019
validio.io
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Alternatives |
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Categories |
Categories |
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Integrations
Amazon Kinesis
Not Supported
Amazon Redshift
Not Supported
Amazon S3
Not Supported
Apache Kafka
Not Supported
Azure Data Lake
Not Supported
Azure Synapse Analytics
Not Supported
Databricks
Not Supported
Gmail
Not Supported
Google Cloud BigQuery
Not Supported
Google Cloud Pub/Sub
Not Supported
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Integrations
Amazon Kinesis
Supported
Amazon Redshift
Supported
Amazon S3
Supported
Apache Kafka
Supported
Azure Data Lake
Supported
Azure Synapse Analytics
Supported
Databricks
Supported
Gmail
Supported
Google Cloud BigQuery
Supported
Google Cloud Pub/Sub
Supported
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