Elsevier/MEDai and dbMotion recently announced they have formed a partnership to deliver robust health analytics solutions to both the healthcare payer and provider markets.
The alliance combines the power of Elsevier/MEDai’s proven analytics solutions for payers, ambulatory centers, physicians and hospitals, with the dbMotion semantic interoperability platform, which aggregates and organizes health information from disparate IT and clinical systems. Users will have access to sophisticated reporting and modeling tools, as well as a comprehensive clinical dataset, to ensure analytics are more accurate and resultant actions are more effective across the continuum of care.
Sharp HealthCare,
“We are genuinely excited about this partnership because it leverages both companies’ unique solutions to create a total view of patient information. With dbMotion’s interoperability platform, combined with the analytics that Elsevier/MEDai provides across the continuum of care, we’ll pull more and more value from our health information systems,” said Nancy Pratt, senior vice president of clinical effectiveness at Sharp. “The added value that the dbMotion-Elsevier/MEDai combination brings will help put Sharp further on the path to delivering value to our patients and achieving accountable care goals.”
With the rise of health information technology, there is no shortage of data being collected across a wide range of clinical and administrative systems. But to demonstrate true value, these data must be made accessible and rendered meaningful – a requirement that has become increasingly apparent with the emergence of the accountable care organization (ACO), which necessitates collaboration and information exchange between providers and payers. Health analytics based upon both clinical and claims data no doubt will be a powerful tool to advance ACO goals.
“Because it harmonizes data from such a wide range of clinical systems and applications, the dbMotion solution grants us access and visibility into a wealth of information previously unavailable,” said Swati Abbott, president, Elsevier/MEDai. “This robust dataset will enhance the accuracy and efficacy of predictive modeling and other analytic activities. More importantly, it will deliver sophisticated business intelligence to support quality care for members, enhance disease and wellness management, and empower providers with timely, accurate, and actionable information to improve operational efficiencies—and ultimately, patient care.”
“Integration between payers and providers is increasingly important and now this partnership will deliver analytics that will support this evolution,” notes Peter McClennen, president of dbMotion
