International publisher Elsevier has announced the launch of InOrder, a 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.
The tool has evidence-based content and the capability to make updates rapidly as regulations and medications change, so Elsevier says InOrder can help hospitals and clinicians increase patient safety and prevent medical errors.
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.
"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."
"I strongly believe that an advanced order set solution can lead to improvements in patient care," said Carol Steltenkamp, Chief Medical Information Officer, University of Kentucky HealthCare, an InOrder beta customer. "We were eager to implement InOrder by Elsevier because it streamlines the entire process of creating, managing and maintaining order sets, and ensuring that all order sets are based on current evidence-based information and best practices."
- Access to relevant evidence-based answers from ClinicalKey, Elsevier's clinical insight engine
- Advanced collaboration tools for order set development, maintenance, access and tracking
- Tailored, concise ordering focused on the most common scenarios
- Availability across technology platforms enabled by a cloud-based delivery model
- Localization tools to incorporate hospitals' clinical terminologies and import existing order sets - Enhanced clinical guidance and evidence within the set
- Quality metric indicators that highlight orders important for guidelines and metrics