- Join nationally recognized leaders for the seventh-annual Big Data Science Conference in Minneapolis.
- Engage in advancing a national action plan to ensure that nursing data are captured and 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.
Conference location
The Graduate Hotel
(formerly The Commons Hotel)
615 Washington Avenue SE
Minneapolis, MN 55414
| Registration Type | Pre-conference | Conference | Full Conference |
|---|---|---|---|
| Student | $150 | $250 | $400 |
| Full Registration | $350 | $400 | $750 |
Onsite registrations by check or credit cards will be accepted.
Cancellation and Refund Policy
If you need to cancel your registration, a refund, minus a $50 administrative fee, will be issued if you cancel in writing to the Office of Continuing Professional Development (soncne@umn.edu) by May 15, 2019. If you cancel after this date, you will not be eligible for a refund.
Contact Hours
This conference is designed to meet the Minnesota Board of Nursing requirements for up to 17.0 contact hours of continuing nurse education. (Preconference up to: 6.5 contact hours; Main Conference up to: 10.5 contact hours)
However, the individual nurse is responsible for determining whether this activity meets the State Board of Nursing requirements for acceptable continuing education.
Conference Details
Keynote Speaker: Dr. Cyrus Batheja
The keynote speaker is year is Cyrus Batheja, Ed.D., M.B.A., P.H.N., B.S.N., R.N.. Dr. Batheja is the Chief Growth Officer for myConnections™ and Medicaid Vice President at UnitedHealthcare Community & State. myConnections™ is a UnitedHealthcare program that helps low-income individuals and families access essential social services that are the gateway to better health. UnitedHealthcare Community & State proudly serves nearly 6.4 million Medicaid members in 29 states, plus Washington D.C. UnitedHealthcare is a division of UnitedHealth Group which is a diversified health and well-being company with a mission to help people live healthier lives and help make the health system work better for everyone.
Preconference agenda
June 5 – Preconference
7:00 Registration
8:00 Welcome: Nursing Knowledge Big Data Science Initiative
8:30 Break into Tracks
Track 1: Data Science Workshop
Lisiane Pruinelli, PhD, RN; Steven Johnson, PhD
Track 2: Standardized Data for Dash Boards and Real Time Alerts for Pain Management
Rebecca Freeman, PhD, RN, PMP, FAAN; Uba Backonja, PhD, RN, Bonnie Westra, PhD, RN, FAAN, FACMI, Anne LaFlamme, DNP, RN
Track 3: Standardizing the Nursing Admission History and Screening to Reduce Documentation Burden
Jane Englebright, PhD, RN, FAAN; Shannon Hulett, DNP, RN, CNL; David Boyd, DNP, RN-BC; Sarah Michel MBA, BSN, RN, NE-BC
10:00 Break
10:30 Resume Track Activities
12:00 Lunch
1:00
Track 1: Data Science Workshop (Advanced Session)
Lisiane Pruinelli, PhD, RN; Steven Johnson, PhD
Track 2: Standardized Data for Dash Boards and Real Time Alerts – Cont’d
Track 3: Standardizing Nursing Admission History and Screening– Cont’d
2:30 Break
2:45 Resume Track Activities
4:00 Break
4:15 What was Helpful/ What is Needed for Future (Panel)
Laura Heermann Langford PhD, RN; Patricia Sengstack, DNP, RN-BC, FAAN; Tristan Fin, BSc, BSN, RN, DNP Student; and others to be announced
5:00 Wrap up – Linking Pre-conference to Purpose of Conference
Connie White Delaney, PhD, RN, FAAN, FACMI, FNAP
Preconference Track 1
Data Science Workshop
The purpose of the two sessions in this workshop is to give leaders a foundation for understanding data science principles and tools. Participants will learn all phases of a data science project in order for them to have a better overall understanding and to improve collaboration with data science staff at their own organization. The morning session is an introduction to data science and tools while the afternoon session is an advanced hands-on workshop where participants will work with data and use the tools to perform data science.
Morning Session: Introduction to Data Science and Tools
This is an introductory session for those who are not very familiar with the concepts of data science. Participants will start by being introduced to the data science lifecycle for nursing and interdisciplinary leaders, types of data, data pre-processing, data quality and exploring data using visualizations. You will learn about the different tools for data science (for example: Python, Jupyter, scikit-learn, Colaboratory). Participants will review the different approaches to analyzing data (including machine learning) and we will discuss examples of successful projects. This session uses presentations to teach data science, but the afternoon session will be hands-on allowing participants to work with data and tools.
Afternoon Session: Advanced Hands-On Data Science
This is a workshop for those who already have had some exposure to data science concepts. You will need to bring your own laptop and have a Google account setup in order to participate in a hands-on exploration of data science. We will be using the Google Colaboratory for exercises. Materials for the workshop will be available on GitHub and instructions for downloading and installing will be sent out before the meeting. In this session, participants will be led through lessons, using Jupyter notebooks, for performing the various aspects of the data science lifecycle including data preparation, exploratory data analysis and building a machine learning model using the Python scikit-learn toolset.
Preconference Track 2
Track 2: Standardized Data for Dash Boards and Real Time Alerts for Pain Management
The purpose of this session is to demonstrate end to end capture and use of data for pain management from staff nurses through all levels in the organization. The session includes active participation exercises as well as didactic content. Specific topics include: information modeling, methods to optimize change to implement an information model, challenges and solutions in creating alerts and reports, and principles of data visualization for public health reporting to address the opioid crisis.
Preconference Track 3
Track 3: Standardizing the Nursing Admission History and Screening to Reduce Documentation Burden
A taskforce was created across multiple Nursing Knowledge Big Data Science Workgroups to address the problem of documentation burden. This is an interactive session to evolve the content work of the Nursing History and Current State Screening task force. Participants will work in small groups to critique the work products of the task force, including the model documentation elements. Education on the next step, modeling and coding will conclude the session.
June 6
June 6 – Conference – Day 1
7:00 Registration/Breakfast
8:00 Welcome: Nursing Knowledge Big Data Science Initiative
8:15 Keynote - Ten Easy Steps to Better Care at Lower Cost
Cyrus Batheja, Ed.D., MBA, PHN, BSN, RN - Chief Growth Officer, myConnections™ and National Medicaid Vice President United Healthcare Community & State
9:15 HIT Policies, Information Exchange, and Implementation Local to National
Jennifer Lundblad, PhD, MBA - President and CEO of Stratis Health
Lisa Moon, PhD, RN, Founder and CEO Advocate Consulting
10:00 Break
10:30 Work Group Report on 2018 Major Achievements
12:30 Lunch
1:30 Work Group Report on 2018 Major Achievements
2:00 Work Group Meetings - Breakouts
3:00 Break
3:30 Work Group Meetings - Breakouts
4:30 Future Perspective on Workgroup Activities (Panel)
Vicky Tiase, MSN, RN-BC, FAMIA; Susan C. Hull MSN, RN-BC, NEA-BC, FAMIA; Joyce Sensmeier MS, RN-BC, CPHIMS, FHIMSS, FAAN
5:00 Wrap up and Reception
June 7
June 7 – Conference – Day 2
7:00 Breakfast
8:00 When Big Data Runs Healthcare
Futurist - Jane Englebright, PhD, RN, FAAN
9:15 Break
9:45 Workgroup Planning for 2019 – 2020
11:15 Break
11:30 Painting the Picture for Sharable and Comparable Nurse-Sensitive Data (Panel)
12:30 Box Lunch & Workgroup Meetings if needed
Resources
Background of the NKBDS Initiative
2019 Proceedings (PDF)
Agenda (PDF)
Big Data: Empowering Health
A searchable, topic-driven repository for Big Data articles, workgroup reports, presentations and other documents.