Figure 5.

MEA workflow architecture. MEA workflow consists of three components: (i) MedTagger, a clinical NLP pipeline reads data from clinical notes, radiology notes, ECG text, and other reports and identifies data elements; (ii) Webservices aggregate the information from both the NLP pipeline and structured data sources such as laboratory values, patient provided information to synthesize concept assertion at patient level; and (iii) synthesized information is fed to a decision rule system that generates care recommendation for the clinician at the point of care.