Automated Clinical Decision Support (CDS) using Pattern Recognition/Temporal Relationships

Overview

CDS has come a long way, most notably when one thinks of decision support, we think of alerts, reminders, drug-drug interaction checking, order sets, and note templates. As “big data” only gets bigger on a daily basis, data warehouses fill with unstructured and structured data which provide a means for developing CDS. “One of the “grand challenges” in CDS is thus the automatic production of CDS from the bottom-up by data-mining clinical data sources” [1].