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RN: Clinical Analytics Specialist, Multistate
R110347 Are you a licensed RN looking to help drive innovation within our global organization? About the role. We are looking for a Licensed RN to serve as our Clinical Analytics Specialist to join the Data Discovery and Enrichment Team (DDE). The Clinical Analytics Specialist will provide support for clinical decision support (CDS) product development to improve the search and discovery experience for users of products such as ClinicalKey at the point-of-care. You will have a critical role in working with the Clinical Solutions and Education business units to provide clinical analytics support and drive growth, revenue generation, and innovation. About the team. This team is entrusted with the validation of extracted medical information from Elsevier corpus and electronic health care records, information retrieval, creating data for gold set generation, and participating in content enrichment workflows aiding in clinical decision support. Qualifications
- Be a licensed, board-certified RN, masters-trained or similarly qualified nurse instructor with significant teaching experience. Advanced education credentials/PhD preferred.
- Have experience with teaching as well as a passion for experimenting with emerging learning modalities in the field of nursing education. Have subject matter expertise in multiple nursing education domains
- Demonstrate understanding of issues impacting the U.S. healthcare system, health information technology/informatics, interprofessional education/collaboration, and a working knowledge of national, and where applicable international, taxonomies, standards and guidelines affecting the delivery of healthcare education.
- Demonstrate deep understanding of Clinical Judgment Measurement Model in nursing education and changes made to the NCLEX® exam test plan.
- Have prior experience writing, implementing, and/or facilitating Simulated Clinical Experiences (SCEs) for undergraduate, PN-to-RN or RN-to-BSN nursing students in a dedicated clinical simulation education setting.
- Familiarity with the growing influence of GAI models/tools both for content generation and student/faculty support purposes.
- Possess excellent team-building skills for SME recruitment/retention and ability to motivate team to continuously improve performance.
- Be able to successfully partner with a large network of content vendors and contract SMEs to support delivery/execution of Sherpath courses and other digital learning content.
- Experience with medical vocabularies such as SNOMED CT and ICD-10 is beneficial, as is knowledge of ontology modeling.
- High computer skill competency. Proficiency in a Microsoft Windows environment; and strong MS Word/Powerpoint skills and ability to work with templates using an electronic content management system.
- Apply clinical knowledge to extract and integrate data in a healthcare environment.
- Adapt domain ontologies for information extraction, data modeling and analysis. Provide insight for ensuring high quality of automated indexing for search & discovery.
- Apply own domain knowledge and work with external clinical experts to confirm and validate clinical accuracy of content. Ensure that content is clinically accurate, current, and supported by the best available evidence from the medical literature, current guidelines, and accepted performance standards.
- Build domain specific training data sets for machine learning (ML) models used in Point-of-care products
- Utilize predictive analytics and insights from combining big datasets in healthcare
