Data in healthcare comes in many flavors (or more correctly, classes). However, many data types are siloed in different healthcare settings and systems. In order to get from disjointed process and patient data to outcomes, we must connect a patient's data over time and across settings.
The most value-added approaches to interoperability should rely on enduring machine-to-machine connections with regular testing that bring data to the point of care.
Here we discuss how filling health data gaps with external data sources can change the effectiveness of care activities and close care gaps and work with FQHC partners to demonstrate the value these connections bring.