PASADENA, Calif. and NEWTON, Mass., June 25, 2019 – NextGate, the global leader in healthcare enterprise identification, and Life Image, the world's largest global network for sharing clinical and imaging data that is powered by industry leading interoperability standards, today announced a strategic partnership to meet increasing demand for reliable imaging workflow integration.
Eliminating silos and ensuring that each patient has one and only one record, NextGate and Life Image will help caregivers and researchers optimize care delivery through their EHR, imaging and other health information systems, forming a solid foundation for data exchange and coordination of care.
Seamless integration of NextGate's market-leading Enterprise Master Patient Index (EMPI) within the Life Image Interoperability Suite will help to orchestrate accurate, comprehensive patient demographic information across an extensive network of 1,500 U.S. hospitals, 8,000 affiliated sites, 150,000 providers and 58,000 global clinics. The Life Image network—a global ecosystem of clinical, imaging, medical device and pharmaceutical data now integrated into the workflows of 80 percent of all large health systems and academic medical centers in the U.S.—exchanges seven billion imaging files and manages more than 10 million clinical encounters per month.
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The partnership furthers NextGate's position in the global healthcare market as the leader in positive patient identification and solidifies its commitment to helping hospitals overcome the clinical and financial inefficiencies that result from duplicate medical records and data silos.
"Busy clinicians and care managers need high-quality data, tied to the correct patient, in order to make informed, life-saving decisions," said Life Image President and CEO Matthew A. Michela. "We are delighted to align with NextGate to support all healthcare constituents with a unified health record to deliver the high-quality level of care every patient deserves."
As organizations transition to value-based care delivery models, the need for a complete and accurate view of patient data across the continuum becomes increasingly critical for greater clinical, operational and financial performance. Inaccurate patient identification costs the U.S. healthcare system $6 billion annually and results in medical errors, data quality issues, administrative waste, and poor patient and provider satisfaction.