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HVH and Patient iP Team Up to Improve Clinical TrialsKING OF PRUSSIA, Pa. and ROCHESTER, N.Y., Feb. 13, 2018 /PRNewswire/ -- HVH Precision Analytics, a predictive analytics company accelerating the effective use of machine learning on the real-world data landscape to help healthcare organizations attain actionable results, and Patient iP, a health data and analytics company providing patient data insights to accelerate and transform clinical research, are partnering to improve clinical trial design, site selection and patient enrollment. The companies will collaborate using HVH's proprietary SCIPHER™ machine learning platform and Patient iP's proprietary daTAscape asset to better target clinical trial sites and accelerate trial enrollment. HVH combines data and therapeutic area agnostic analytic and medical capabilities, and Patient iP's platform contains data from more than 4,000 practice sites and 16 million ambulatory electronic medical records (EMR). The combination will bring powerful changes to clinical trials. "Coupling HVH's unique machine learning capabilities broadly applied to real-world data and Patient iP's significant EMR and site access will significanty improve our companies' ability to assist CROs and clinical trial sponsors with site selection and targeting, leading to improved trial enrollment," said Steve Costalas, CEO of HVH. "Patient iP is excited to partner with HVH given their rich heritage of predictive analytics and innovation. By integrating their significant data science capabilities with our robust identifiable patient database and deep clinical trial expertise, we offer a new data-driven approach to solving the patient recruitment challenges in clinical research," said Mike Wilkinson, President and COO of Patient iP. About HVH About Patient iP
View original content with multimedia:http://www.prnewswire.com/news-releases/hvh-and-patient-ip-team-up-to-improve-clinical-trials-300597715.html SOURCE HVH Precision Analytics |