Data Abstraction
 
From Data to Understanding
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When gathered and understood, the underlying meaning contained within structured and unstructured EHR data fields, admission reports, lab reports, physician's notes, and patient history form a Patient Context. However, up till now, only the human mind could collect and fully grasp the meaning from all these disparate sources and create that Patient Context - the condition of a patient within a complete medical knowledge framework.

SAM Abstrakt captures the totality of data from relevant data sources such as reports, notes, audio files, or even wearable devices, and formulates the evolving understanding of a patient's situation holding the data in a knowledge graph available for registry requirements, reporting, research, education, and ultimately Clinical Decision Support.