Potable Data: Distilling Value from Raw Feeds Implementations – Redox

As HL7 and FHIR exchanges scale, organizations are realizing that raw clinical data, whether it arrives as FHIR resources, HL7 v2 messages, or C-CDA documents, often comes incomplete, inconsistent, and difficult to use. This session introduces a data filtration framework for transforming noisy inputs into reliable, trusted information across common scenarios such as payer and provider connectivity and networks evaluating data they do not directly control. We will outline why data quality is foundational, how PIQI and SAMs help define and measure it across different HL7 standards, and how in-flight enrichment and normalization techniques strengthen downstream use cases. Attendees will leave with a clearer understanding of how to convert raw interoperability data into high-quality outputs that support analytics, operations, and clinical workflows.

Speaker: Autumn Ike, Director of Enterprise Implementations – Redox