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Elsevier Launches Evidence-Based, Collaborative Order Sets Solution

PHILADELPHIA, February 25, 2013 /PRNewswire/ --

InOrder is designed to improve patient outcomes and meaningful use attestation by providing intuitive authoring, superior usability and high quality content

Elsevier, a world-leading provider of scientific, technical and medical information products and services, today announced the launch of InOrder, an intuitive, cloud-based order sets solution that enables clinicians to author, review and publish orders in a collaborative environment that quickly translates evidence-based knowledge into better patient care.

"InOrder combines a highly efficient, easy-to-use content management workflow solution for hospitals' content development and technology teams, with hundreds of evidence-based, highly usable order sets that can be used 'out of the box' or customized as needed," said Dr. Jonathan Teich, Elsevier's Chief Medical Informatics Officer. "InOrder's localization feature allows users to create order sets from their hospital preferences by incorporating orderable items directly from their existing EHRs, including their current workflows and terminologies."

By combining Elsevier's deep experience in providing evidence-based content and the capability to make updates rapidly as regulations and medications change, InOrder can help hospitals and clinicians increase patient safety and prevent medical errors.

"Evidence-based order sets facilitate best practices in diagnosis and treatment, thereby enabling healthcare organizations to improve care quality, support standardization, and achieve meaningful use," said Nancy Fabozzi, Principal Analyst, Frost & Sullivan. "Providers will value a well-designed, technology-enabled solution based on trusted content that leverages proprietary clinical systems, workflows, and terminologies that are designed to accelerate product implementation, integration, usability, and clinician acceptance."

Without integrated systems in place to support efficient order set creation and review, hospitals and health systems often can take months to create or update a single order set. Without understanding and streamlining the communications among multiple authors and approvers, insufficient order set systems can languish and fail despite the best efforts of the contributors.

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