June 1-3, 2016
Join nationally-recognized leaders from organizations, health systems, education and the private sector for the fourth-annual Big Data Conference in Minneapolis. Participants are engaged in advancing a national action plan to ensure that nursing data are captured in electronic health records and other information systems and that data are available in sharable, comparable formats for clinicians, administrators, researchers, policy makers and others to improve health outcomes. Learn about the accomplishments of the work groups, their importance to your work and how to build on these in the future.
Pre-conference: June 1, 2016
Purpose
The purpose of the pre-conference is to provide exemplars and hands on experience. Using examples provided, participants will learn about using nursing data for big data science and the function it plays in the global agenda for improving health and health care. Each participant will be able to attend 2 unique breakout sessions – each breakout session is 3.5 hours
After the general session, participants will select one of the three breakout sessions described below:
- demonstrates in a hands-on way how to do data mapping and implement data standards;
- focuses on the major organizational challenges that can occur and strategies to use when creating and using big data analytics for improved care; and,
- presents big data science methodologies for pattern recognition and knowledge discovery using illustrated examples.
Breakout Session 1: Mapping LOINC and SNOMED-CT to EHR Data – Susan Matney, PhD, RN, FAAN
Provide an understanding of the structure and use of LOINC and SNOMED CT for structured data initiatives, the type of data mapped to each terminology, and tools commonly used. Gain an understanding the challenges and solutions for mapping content using data standard tools.
Breakout session 2: Barriers and Implementation Strategies for Big Data and Data Analytics in Healthcare – Judith Warren, PhD, RN, FAAN, FACMI
Explore barriers in developing a program for using Big Data and conducting data analytics. Various strategies will be examined to overcome barriers and brainstorm the application of these to their organization. Action plans will be developed by participants.
Breakout Session 3: Pattern Detection In Big Data For Knowledge Discovery – Bonnie L. Westra, PhD, RN, FAAN, FACMI & Karen Monsen, PhD, RN, FAAN, FACMI
Learn about methodologies for detecting novel patterns in big data. Relate data capture in practice to enable Big Data Science. Critically analyze nursing studies that use Big Data Science methodologies. Develop an outline to apply Big Data Science to a research question of importance to you.
Conference: June 2-3, 2016
- Networking reception Thursday evening at The Campus Club
- Minnesota Board of Nursing continuing education credits are offered
Purpose
The purpose of the main conference is to learn about major milestones achieved toward sharable and comparable nursing data and advance a National Action Plan for consistent documentation and use of nursing and interprofessional data for analytics and big data science. Plan to collaborate with national nursing leaders and share in one voice to make nursing’s contribution visible in this digital age.
The vision of the Nursing Knowledge: Big Data Science Initiative is better health outcomes that will result from the standardization and integration of information nurses gather in electronic health records (EHR) and other health information technologies (IT).
This data is increasingly the source of insights and evidence used to prevent, diagnose, treat, and evaluate health conditions. The addition of rich contextual data about patients and nursing care (including environmental, geographical, behavioral, imaging data, and more) will lead to breakthroughs for individuals, families, communities, and populations.
The Focus of the conference is on learning about accomplishments of the 12 workgroups, how it applies to your work, and how you can contribute to the future of this national Big Data Science Initiative.
Conference Details
Pre-conference Agenda: June 1, 2016
7:00 Registration/ Breakfast
8:00 Overview of the day
8:30 Breakout Session, Choose 1 of the 3 Breakout Sessions
10:00 Break
10:15 Continue with breakout session
12:00 Lunch
1:00 Breakout Session, Choose 1 of the 3 Breakout Sessions
2:30 Break
2:45 Continue with breakout session
4:30 Wrap up
Breakout Sessions
Breakout Session: Mapping LOINC and SNOMED-CT to EHR Data
Susan Matney, PhD, RN, FAAN
Provide an understanding of the structure and use of LOINC and SNOMED CT for structured data initiatives, the type of data mapped to each terminology, and tools commonly used. Gain an understanding the challenges and solutions for mapping content using data standard tools.
Breakout Session: Barriers and Implementation Strategies for Big Data and Data Analytics in Healthcare
Judith Warren, PhD, RN, FAAN, FACMI
Explore barriers in developing a program for using Big Data and conducting data analytics. Various strategies will be examined to overcome barriers and brainstorm the application of these to their organization. Action plans will be developed by participants.
Breakout Session: Pattern Detection In Big Data For Knowledge Discovery
Bonnie L. Westra, PhD, RN, FAAN, FACMI & Karen Monsen, PhD, RN, FAAN
Learn about methodologies for detecting novel patterns in big data. Relate data capture in practice to enable Big Data Science. Critically analyze nursing studies that use Big Data Science methodologies. Develop an outline to apply Big Data Science to a research question of importance to you.
Agenda: June 2, 2016
7:00 Registration and Breakfast
8:00 Welcome
8:10 Speed Networking
8:15 The Big Data Conference Vision and National Action Plan, Connie W. Delaney, PhD, RN, FAAN, FACMI
8:30 Breaking News, Major Achievements Toward Sharable and Compare Nurse Data
10:30 Break
10:45 Breaking News, Major Achievements Toward Sharable and Compare Nurse Data
12:30 Lunch – Getting to Know You – Networking Event
1:30 Designing the Future, Workgroup members will use liberating structure of the Fish Bowl to design next steps in advancing the future of sharable and comparable nursing data
4:00 What Did You Learn – Sharing Lessons Learned Across Workgroups, Non-workgroup members will use liberating structure of the Fish Bowl to design next steps in advancing the future of sharable and comparable nursing data
4:30 Wrap Up
5:00 Reception, Campus Club Terrace
Workgroup Leaders will present the Breaking News and Designing the Future (topic)
Care Coordination
Jean Scholz, MS, RN, NEA-BC; Nurse Executive, Health Care Workforce Transformation
Mary Jo (MJ) Swanson, DNP, MPH, RN; Periop and Cardiovascular Service Line Executive, Fairview Health Services
Clinical Data Sets and Analytics
Connie W. Delaney, PhD, RN, FAAN, FACMI; Professor & Dean School of Nursing, University of Minnesota
Bonnie L. Westra, PhD, RN, FAAN, FACMI, Associate Professor, University of Minnesota, School of Nursing
Connecting Emerging and Expert Nurse Informatics Leaders
Kari Ballou, MSN, RN; Informatics Nurse Specialist, AORN
Anne LaFlamme, DNP, RN; Chief Nursing Information Officer, Fairview Health System
Context of Care
Amy Garcia, MSN, RN; Director and Chief Nursing Officer, Clairvia, Workforce and Capacity Management, Cerner Corporation
Barbara Caspers, MS, RN, PHN; Healthcare Management Consultant, Barbara Caspers Associates
Education
Thomas Clancy, PhD, MBA, RN, FAAN; Associate Dean and Clinical Professor, University of Minnesota, School of Nursing
Judith J. Warren, PhD, RN, FAAN, FACMI; Chair, CAHIIM Board of directors; Professor Emeritus, University of Kansas School of Nursing
Encoding Nursing Assessments Using LOINC and SNOMED CT
Susan A. Matney, PhD, RN-C, FAAN; Medical Informaticist, HDD Team, 3M Health Information Systems
Theresa (Tess) Settergren, MHA, MA, RN-BC; Director of Nursing Informatics in the Enterprise Information Services Department at Cedars-Sinai Health System
Engage and Equip all Nurses in Health IT Policy
Joyce Sensmeier, MS, RN-BC, CPHIMS, FHIMSS, FAAN; Vice President of Informatics for HIMSS
Kelly Cochran, MS, RN; Policy Advisor, Health Information Technology, American Nurses Association
mHealth Data
Victoria L. Tiase MSN, RN-BC; IT Director - Informatics Strategy, New York Presbyterian Hospital
Robin R. Austin, DNP, RN-BC; Clinical Assistant Professor, School of Nursing, University of Minnesota
Nursing Value
Ellen Harper, DNP, RN-BC, MBA, FAAN; Vice President, Chief Nursing Officer-Premier West, Cerner Corporation
John Welton, PhD, RN, FAAN; Professor & Senior Scientist Health Systems Research, University of Colorado College of Nursing,
Social Behavioral Determinants of Health
Erin Maughan PhD, MSN, RN, FAAN; Director of Research, National Association of School Nursing
Susan Hull, MSN, RN; Chief Nursing Informatics Officer at Cincinatti Children's Hospital Medical Center
Standard Data Organizations & Core Documentation
Laura Heermann-Langford, PhD, RN; Nurse Informaticist, Intermountain Healthcare
Emily Barey, MSN, RN; Vice President, Epic
Transform Documentation and Context of Care
Ann O'Brien, RN, MSN; Kaiser Permanente, IT & National Patient Care Services
Charlotte A. Weaver, RN, PhD, FAAN; Healthcare Executive
Agenda: June 3, 2016
7:15 Breakfast
8:00 Kick off for the day
8:15 Working Across the Aisle, National Leaders Share Political Advice for Integrating Nursing Data into Political Requirements (TBD)
9:15 Embedding Nursing Data into Research, Quality, and Finances, Advice from National Quality and Health Care Finance Experts (TBD)
10:15 Break
10:30 Where Do We Go Next?, Focusing on Critical Actions for 2015-2016 National Action Plan, Each workgroup identifies three priorities in small groups, Presentation by workgroup chairs and feedback from audience – What is missing and overlaps across groups for consolidating efforts.
12:30 Wrap up