Zynx HealthTM, a market leader in providing evidence- and experience-based clinical improvement solutions, has announced that Einstein Healthcare Network, an academic healthcare system serving the communities of Philadelphia and Montgomery County, is implementing Zynx Health solutions across its enterprise. The unified solution will offer a streamlined framework for managing evidence-based clinical decision support throughout their organisation.
Einstein Healthcare Network includes three hospitals with more than 1,000 beds, 11 outpatient centers, 42 primary care practice locations, and 8,500 employees. Einstein Medical Center Philadelphia claims to be the largest independent academic medical center in the Philadelphia region, annually training more than 3,500 health professional students and 400 residents in more than 30 accredited programs.
A data-driven, clinical quality leader for more than 150 years, Einstein continues its tradition with the integration of ZynxOrder and Knowledge Analyzer and its Cerner electronic health record (EHR) system.
Knowledge Analyzer, creates a longitudinal snapshot of the client's existing content, providing a view of their existing content and its alignment with the Zynx evidence-based standards and vital interventions. This blueprint of content will allow Einstein to prioritise their work and assures high-quality decision support now and into the future. ZynxOrder provides a systematic way to create, review, and incorporate new order sets into the EHR, facilitating stakeholder engagement throughout the organisation with the right collaboration tools.
This unified approach results in a well-defined process that can save weeks, or even months, of clinician, administrator, and information technology staff time.
Einstein is scheduled to implement the Zynx solution set in the second quarter of 2019.
Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.
