J P Systems, Inc.

J P Systems, Inc.

Data Quality Management Terminology Standards Support

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The Veterans Health Information Exchange (VHIE) experiences small differences in data formats of the clinical documents arriving from over seventy external trading partners. The data is sent in structured clinical documents called C32s, which is a type of a Continuity of Care Document (CCD) that focuses on the patient's summary information. This is a HL7 standard for the exchange of data between healthcare providers. The VA desires to expand their exchange to include the consumption and safe integration (importation) of many more types of CDA documents. In addition to mapping the new incoming CDA data fields to the target data in the VA VistA EHR system, our goal is to improve the usability of the data in structured documents (CDAs) being exported from the EHR systems of providers external to the VA. Usability is improved by adherence to international clinical terminology standards and codes inside the data fields themselves.

 

We are expanding the number and type of standardized CDA documents being received. Additionally, updates and routine maintenance to these EHR systems adds to the variations and introduces new quality issues. J P Systems provides data quality management to support data exchange which will in turn support the cognitive work of clinicians and patients. It also provides clinical data quality checks that can be evaluated against incoming and outgoing data and provide a scorecard for quality and standards conformance scores for the VHA external partners therefore improving both the quality, interoperability and completeness of clinical records. J P Systems also works on monitoring of exchange and Direct secure email connectivity with health providers. We also help the VA engage with and onboard new external partners to receive data. To support these efforts, we work with the appropriate SDO (such as HL-7) and SROs to collaboratively specify new standards and improve existing C-CDA document exchange standards, trust and policy frameworks and data quality management programs.