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Building a Better Patient Chart: Combining structured, unstructured, and missing data

Diameter Health has deep expertise in doing structural and semantic normalization on structured medical data. However, this is only part of the picture, since an Electronic Medical Record (EMR) is made up of three components: structured / computer-readable data, narrative / human-readable data, and missing data.

We set out to create a more complete EMR by leveraging all three parts. To make this happen, we combined our Fusion clinical data normalization and enrichment, Spark NLP for Healthcare, and our Clinical Inference technology.

Diameter Health’s Chief Architect, Sam Schifman, presents the results to date.

Automated question answering about clinical guidelines

Being updated about the best practices related to the care of patients is currently a challenge for clinicians. Many healthcare organizations develop internal...