Getting patients diagnosed correctly and treated appropriately depends on providers gathering both quantitative data, which is typically structured, and qualitative data, which is typically unstructured. When comparing both types of data, it’s more challenging to manage and derive value from unstructured data.

Quantifiable, measureable data such as lab results, blood sugar levels and cholesterol are considered structured data. This type of data is objective and can be entered discretely into EHRs via predefined fields. Since the data is structured, software systems are able to understand the meaning of the data, interpret the data and report on it. Structured data can be put to use by clinicians at the point of care to aid their decision making.

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