Data Quality
Our clinical data quality team led a nine-year VHA VHIE initiative improving interoperability and Clinical Decision Support. We conducted strategic planning, C-CDA requirements analysis, and clinical data quality improvement efforts. Our team examined incoming and outgoing Joint Health Information Exchange (JHIE) traffic for accuracy and correct usage. The data exchange flowed between VHA, Oracle Health Millennium, DoD, and community providers. We assisted these organizations to exchange data accurately and consistently. Our team actively and directly collaborated with thousands of hospitals and clinics participating in JHIE. J P Systems analyzed clinical data quality across multiple domains, including PAMPI. We traced the sources of inaccurate data entering the VHA enterprise.
We compared document contents against HL7 CDA standards and the expected clinical data contents specified in the HL7 standard. Our data quality team identified recurring data quality and interoperability issues to determine their root causes. Our team worked with EHR vendors (including Epic and Oracle Health), internal and external partners to resolve identified data exchange problems. The JHIE team includes data scientists, clinicians, data standards specialists, and health systems specialists into one integrated team. Our multidisciplinary team developed improvement plans and engaged stakeholders to strengthen interoperability and clinical data quality.
