Connie, Connecticut’s state-designated Health Information Exchange, has implemented Clinical Architecture’s PIQXL Gateway to help healthcare organizations across the state assess and enhance the quality of shared patient data. The project is supported by a grant from the Connecticut Health Foundation and aims to help Connie strengthen adherence to state standards for collecting and using race, ethnicity, and language, or REL, data. This initiative will provide healthcare providers with greater confidence in the accuracy of information used for patient care and coordination.
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Tiffany Donelson, president and CEO of the Connecticut Health Foundation, highlighted the importance of collecting accurate REL data, saying that improvements in health equity cannot occur without measuring disparities. She emphasized that the grant will support the infrastructure needed for responsible collection and sharing of this data and hopes the initiative will guide more informed healthcare decisions across Connecticut. Sumit Sajnani, Health Information Technology Officer at the Connecticut Office of Health Strategy, noted that precise REL data is essential for identifying disparities and informing health policy. He stated that while Connie will lead this effort through the implementation of PIQXL, maintaining high-quality data will require collaboration from the entire healthcare ecosystem.
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The PIQXL deployment is part of Connie’s broader efforts to monitor and improve the quality of data shared through the exchange. Over the past year, Connie has worked with hospitals and healthcare systems, including Nuvance Health, to improve the accuracy and usability of discharge information. These efforts have resulted in thousands of patient records each week containing actionable details on hospitalizations and discharges. Some Nuvance hospitals have achieved quality scores between 95 and 98 percent for discharge location data.
Jenn Searls, Executive Director of Connie, stated that the exchange uses a collaborative approach to improve data quality, with a governance committee composed of network participants guiding which improvements will have the most significant impact. She added that the support from the Connecticut Health Foundation will help Connie continue advancing REL data quality and ensure participants have reliable information for effective care delivery and coordination.
This initiative demonstrates Connie’s ongoing commitment to improving data integrity, enhancing patient outcomes, and promoting equity in healthcare across Connecticut by providing accurate, standardized demographic information to healthcare providers and policymakers.
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