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Transformed (transforming) Health Care System Connie White Delaney, PhD, RN, FAAN, FACMI School of Nursing Professor & Dean Academic Health Center Director,

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Presentation on theme: "Transformed (transforming) Health Care System Connie White Delaney, PhD, RN, FAAN, FACMI School of Nursing Professor & Dean Academic Health Center Director,"— Presentation transcript:

1 Transformed (transforming) Health Care System Connie White Delaney, PhD, RN, FAAN, FACMI School of Nursing Professor & Dean Academic Health Center Director, Biomedical Health Informatics (BMHI) Associate Dir. CTSI-BMI Nursing Knowledge: Big Data Research for Transforming Healthcare Big Data Invitational 2013

2 Current State of Health Care System Challenges of healthcare access, quality, safety, efficiency, and effectiveness Recent financial crisis within the context of an annual cost of medical errors Influx of patients in 2014 of ~32 million Americans Big Data Invitational 2013

3 Vision for the Future Health Care System Health IT & Patient Safety http://www.iom.edu/Reports/2011/Health-IT- and-Patient-Safety-Building-Safer-Systems-for-Better-Care.aspxhttp://www.iom.edu/Reports/2011/Health-IT- and-Patient-Safety-Building-Safer-Systems-for-Better-Care.aspx Computational Technology for Effective Health Care http://www.nap.edu/catalog.php?record_id=12572 http://www.nap.edu/catalog.php?record_id=12572 Digital Infrastructure for the Learning Health System http://www.iom.edu/Reports/2011/Digital-Infrastructure-for-a-Learning- Health-System.aspx http://www.iom.edu/Reports/2011/Digital-Infrastructure-for-a-Learning- Health-System.aspx Best Care at Lower Cost: The Path to Continuously Learning Health Care in America http://www.iom.edu/Reports/2012/Best-Care-at- Lower-Cost-The-Path-to-Continuously-Learning-Health-Care-in- America.aspx http://www.iom.edu/Reports/2012/Best-Care-at- Lower-Cost-The-Path-to-Continuously-Learning-Health-Care-in- America.aspx Big Data Invitational 2013

4 Continuously Learning Health System Vision Generate and apply the best evidence for the collaborative health care choices of each patient and provider; Drive the process of new discovery as a natural outgrowth of patient care Ensure innovation, quality, safety, and value in health care. (Charter of the Institute of Medicine Roundtable on Value & Science-Driven Health Care) 4

5 Big Data Invitational 2013 5 Federal Health IT Strategic Plan 2011 - 2015 HealthIT.gov

6 Program creates a definable academic home for clinical and translational research. CTSA institutions work to transform the local, regional, and national environment to increase the efficiency and speed of clinical and translational research across the country http://www.ncats.nih.gov/research/cts/cts.htmlhttp://www.ncats.nih.gov/research/cts/cts.html; https://www.ctsacentral.org/ https://www.ctsacentral.org/ Clinical and Translational Science Awards (CTSAs)

7 Big Data Invitational 2013 Health & Nursing Knowledge Discovery & Dissemination Bench Bedside Practice Community

8 CONNECT WITH CTSI http://www.ctsi.umn.edu/index.htm CONNECT WITH CTSA NURSE SCIENTIST SPECIAL INTEREST GROUP https://www.ctsacentral.org/committee/ctsa-nurse-scientist Big Data Invitational 2013

9 NINR Strategic Plan: Innovation NINR will invest in research that: Develops new technologies and informatics-based solutions that promote health, including comprehensive high-throughput technologies Develops and creatively applies new and existing knowledge to the implementation of health information technology, including electronic health records Expands knowledge and application of health care technologies to facilitate decision support, self-management, and access to health care Uses genetic and genomic technologies to advance knowledge of the “symptome,” including the biological underpinnings of symptoms associated with chronic illness Encourages risk-taking, innovation, re-invention, and creativity, including high-risk/high-return concepts Big Data Invitational 2013

10 Nursing informatics agenda for 2008–18 must expand users of interest to: Include interdisciplinary researchers Build upon the knowledge gained in nursing concept representation to address genomic and environmental data Guide the reengineering of nursing practice Harness new technologies to empower patients and their caregivers for collaborative knowledge development Develop user configurable software approaches that support complex data visualization, analysis, and predictive modeling Facilitate the development of middle-range nursing informatics theories Encourage innovative evaluation methodologies that attend to human- computer interface factors and organizational context Nursing Research Bakken et al In McDaniel, A. & Delaney, C. (Guest Editors). 2008. Informatics: Science and Practice. Nursing Outlook, 56(5), 195-279. Big Data Invitational 2013

11 microscopicmacroscopic molecular and cellular processes tissues & organs individual patients populations Human Health & Disease [translational bioinformatics] Clinical Research Informatics Consumer Health Informatics REDCap (Research Electronic Data Capture) UMN Profiles Big Data Invitational 2013

12 UMN AHC IE Platform Clinical Data Repository (CDR) Big Data Invitational 2013

13 UMN AHC IE Platform Clinical Data Repository (CDR) Extended Clinical Data Other Clinical Partners Research Data Marts Big Data Invitational 2013

14 14 Vision for Nursing Data in a Clinical Data Warehouse Clinical Data NMDS Management Data NMMDS Other Data Sets Continuum of Care Big Data Invitational 2013

15 NIH BIG Data Centers http://www.nih.gov/ news/health/jul201 3/nih-22.htm http://www.nih.gov/ news/health/jul201 3/nih-22.htm Big Data Invitational 2013

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17 Nursing Minimum Data Set (NMDS) Werley, HH & Divine, E., & Zorn, C. (1988). Nursing Minimum Data Set Data Collection Manual. University of Wisconsin, Milwaukee, WI Big Data Invitational 2013

18 Nursing Management Minimum Data Set (NMMDS) Huber D, Schumacher L, Delaney C. Nursing management minimum data set (NMMDS). J Nurs Adm. 1997;27(4):42-48.

19 Call to action – Roadmap Standardized representation of nursing knowledge Integration within broader essential spectrum of clinical care data into clinical data warehouses Engage in big data science for discovery of new knowledge that enables evidence-based practice. Big Data Invitational 2013


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