Open mHealth Description
Data schemas define the format and content for data, such blood glucose readings. This affects how software programs process those data. Many systems must deal with data from multiple sources, each one describing the data in a different way. It is easier to process and understand data if all data points are for a particular measure (e.g. All data points for a specific measure (e.g. blood glucose) should be expressed in a common, shared schema regardless of origin. A common schema is a single source for documentation that can be referred to whenever and wherever data points are used. Common data schemas are especially important in healthcare due to the complexity and semantic importance of health data. It is crucial to understand the clinical meaning of fasting and nonfasting blood glucose.
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