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Call to Action: Realize Sharable, Comparable Big Data

Call to Action: Realize Sharable, Comparable Big Data. Bonnie L. Westra, PhD, RN, FAAN, FACMI Associate Professor & Director, Center for Nursing Informatics University of Minnesota, School of Nursing.

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Call to Action: Realize Sharable, Comparable Big Data

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  1. Call to Action: Realize Sharable, Comparable Big Data Bonnie L. Westra, PhD, RN, FAAN, FACMI Associate Professor & Director, Center for Nursing Informatics University of Minnesota, School of Nursing DISCLAIMER: The views and opinions expressed in this presentation are those of the author and do not necessarily represent official policy or position of HIMSS.

  2. Objectives • Share findings from a national action to create sharable/ comparable nursing data to transform health and healthcare • Encourage adoption of SNOMED-CT and LOINC as national standards for clinical data, with linkage to nursing terminologies through mappings • Advocate for participation in standards organizations and policy initiatives to ensure a nursing voice

  3. Acknowledgment Planning Committee/ Presenters at: • Connie Delaney, PhD, RN, FAAN, FACMI • Susan Matney, MS, RN, PhD-C, FAAN • Joyce Sensmeier MS, RN-BC, CPHIMS, FHIMSS, FAAN • Judith Warren, PhD, RN, BC. FAAN, FACMI • John Welton, PhD, RN • Bonnie Westra, PhD, RN, FAAN, FACMI

  4. Nursing Knowledge: Big Data Research for Transforming Healthcare University of Minnesota School of Nursing

  5. Nurses Call to Action Nursing information is not captured in ways that make it sharable and comparable – essential for “big data” for quality improvement and research to improve patient safety outcomes Nursing has a long history of informatics development, but implementation lags

  6. Primary Goal is….. To guide consistent documentation and data collection to support big data research for transforming healthcare

  7. Created an Action Plan for: • Prepare nurses to meet informatics competencies • Integrating nursing information into health and healthcare knowledge systems • Optimizing nursing language and healthcare information • Creating a clinical data warehouse to use EHR data to Influence policy

  8. Advancing the Vision of a Transformed Health System Informatics and health IT have the potential to reshape the healthcare delivery system, transitioning to: • A more coordinated structure • Make information easily and safely shared among patients, consumers and providers • Enable improved outcomes, quality of care and lower costs

  9. To Reach this Vision • All providers, health systems, hospitals, patients and consumers must have access to real-time, accurate and actionable health information

  10. Clinical Data Repository/ Warehouse Continuum of Care 10

  11. Action Plan to Achieve the Vision Develop a strategy/campaign for educating front line nurses, students, and faculty on informatics competencies & the value of standardized nursing data

  12. Competencies • Sources • AACN – requires informatics Essentials for BSN, MS, and DNP • TIGER Initiative – all nurses • Challenge • Faculty preparation to teach informatics • QSEN Informatics Deep Dive

  13. Action Plan to Achieve the Vision Advocate for the adoption of SNOMED-CT and LOINC as national standards for clinical data, and link them with nursing terminologies through mappings

  14. Missing Educational Link • Implementation of standardized nursing languages • Shared resources for mapping local terms to national standards • Commitment to a standard for health information exchange for nursing data

  15. Standardized Terminologies

  16. Health Information Exchange

  17. Action Plan to Achieve the Vision Demonstrate the value of a nursing knowledge model to advance big data research and improve patient outcomes

  18. The Nursing Process – Nursing Knowledge Model Susan Matney, MSN, PhD(c), RN-C, FAAN

  19. Action Plan to Achieve the Vision Advocate for participation in standards organizations and policy initiatives to ensure a nursing voice

  20. Nursing’s Role in Standards • Leverage the EHR to optimize workflow and support clinical decision making • Tell the patient’s story • Gather information from throughout the EHR • Present and update it in an interactive, inter-professional summary • Collaborate to foster knowledge translation • Leverage analytics to extract actionable knowledge • Build evidence out of practice

  21. Participate

  22. Questions?Thank You! Bonnie L. Westra PhD, RN, FAAN, FACMI Email: westr006@umn.edu

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