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Wolters Kluwer, Health and Nuance® Communications partner to provide voice-enabled search to millions of clinicians using leading clinical decision support -

Wolters Kluwer, Health and Nuance® Communications, Inc. have joined forces to make it easier for clinicians to access evidence-based clinical information using advanced voice search powered by Nuance Dragon® Medical One’s voice assistant capabilities. Relevant topics in UpToDate® are now available to all users of Dragon Medical One and UpToDate. UpToDate is recognised by KLAS Research as the category leader for clinical decision support in the 2020 Best in KLAS Report.

Benefits of the Wolters Kluwer and Nuance solution include significant time savings, Continuing Medical Education (CME) credit accumulation, and the removal of barriers for physicians to obtain the information needed to provide the best possible patient care. Vanderbilt University Medical Center is among the many leading healthcare organisations implementing the new voice assistant capability.

Part of a new series of voice assistant tools in Dragon Medical One, the new embedded skill, Clinical Content Search, uses conversational intelligence to connect clinicians directly to relevant clinical topics when they ask natural questions such as, ‘Hey Dragon, search UpToDate for pediatric hypertension treatment options.’ The new skill can help clinicians retrieve information in UpToDate, such as medication dosage schedules, disease states, drug interactions, clinical calculators, side effect symptoms and other continuously updated clinical content. Over 90 independent research studies have shown UpToDate is associated with improved outcomes — including reduced lengths of stay, fewer adverse events, and lower mortality.

The new embedded voice assistant skill for Dragon Medical One is available at no additional cost for Dragon Medical One clients with an UpToDate enterprise license.

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.

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