Sunquest and TriCore Partner
News Jul 16, 2015
Sunquest Information Systems has announced a new strategic partnership with TriCore Reference Laboratories to jointly develop diagnostic laboratory software to support population health, precision medicine and integration pathology.
Development efforts will include new technologies for improved data analytics in connected, multi-organization environments. According to a recent report, 65 percent of hospitals report that their analytics spending will increase to support population health and other vital hospital priorities.
“Sunquest strives to create solutions that enable labs to strategically align with key hospital initiatives,” said Manish Muzumdar, Sunquest’s senior vice president of product development. “Our partnership with TriCore perfectly supports our determination to stay on the cutting edge and deliver exceptional software.”
Prior to the Sunquest partnership, TriCore merged with Rhodes Group to form the foundation of their laboratory platform. Sunquest’s strategy matched their needs for a partner to further their vision for technology.
“Medical laboratories drive more than 80 percent of clinical decisions, and now, with Sunquest we can truly shape how medicine is delivered. As a Sunquest laboratory client for more than fifteen years, we know that Sunquest has always had great solutions, but now they have a new level of energy and a commitment to innovation to match,” said Khosrow, R. Shotorbani, MT-ASCP, president and chief executive officer, TriCore Reference Laboratories.
The co-developed solutions will be leveraged in one of TriCore's reference laboratories that will serve as their innovation center for commercial-grade diagnostic methodologies, operations and technology. TriCore will attend the Sunquest User Group Conference, July 13-17, to showcase the benefits of the new partnership.
An artificial intelligence (AI) approach based on deep learning convolutional neural network (CNN) could identify nuanced mammographic imaging features specific for recalled but benign (false-positive) mammograms and distinguish such mammograms from those identified as malignant or negative.
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