2021 Nursing Knowledge: Big Data Science Conference Agenda

June 9 - Pre-Conference

Track 1 - Nursing on FHIR: Conceptual Definitions and Hands-on Tutorial

Laura Heermann Langford PhD, RN, FAMIA
Nurse Informaticist, Intermountain Healthcare, Salt Lake City; Assistant Professor, College of Nursing, University of Utah

Russell Leftwich, MD, FAMIA
Senior Clinical Advisor, Interoperability for InterSystems; Adjunct Assistant Professor of Biomedical Informatics, Vanderbilt University School of Medicine

James C. McClay, MD, FACEP, FAMIA, Associate Professor for the Department of Emergency Medicine at the University of Nebraska Medical Center

Track Summary: The workshop is designed to educate attendees about HL7 FHIR and tools available to access, review, and provide feedback to the HL7 FHIR team regarding the evolving HL7 FHIR standard. It is also intended to make the audience aware of the potential of FHIR for innovation in their organizations. The faculty will provide lectures describing HL7 FHIR history, background, and fundamental principles. Examples of applications using the SMART on FHIR platform will also be discussed. The new federal requirements for FHIR APIs in EHR systems will be outlined. After this initial overview of FHIR, the attendees will be guided through using online tools to examine HL7 FHIR Resources (the basic building blocks of FHIR) and build basic common FHIR Profiles (implementation guides for specific use cases).

Track 2 - Data Validation and Clinical Documentation Accuracy: The Process to Use “Good” Data for Clinical Applications and infrastructure?

Rebecca Freeman, PhD, RN, FAAN, FNAP
Vice President of Health Informatics for the University of Vermont Health Network

Jane Englebright, PhD, RN, FAAN
Chief Nurse Executive and Senior Vice President for HCA Healthcare

Track Summary: This track will review common pitfalls in reusing clinical documentation data for performance management. The issues are widespread, spanning education (in technology and data literacy), governance, semantic interoperability, the standardization of approach to documentation and coding, and others. This session will review those pitfalls, discuss the promise of the reuse of clinical data, and offer suggestions for closing gaps between the two.


Track 3 - Hands-on Data Science    Pre-requisites (PDF)

Steve Johnson, PhD, FAMIA
Assistant Professor, Institute for Health Informatics and Scientific Director, CTSI Clinical Informatics Services, University of Minnesota

Alvin Jeffrey, PhD, RN-BC, CCRN-K, FNP-BC
Assistant Professor of Nursing & Biomedical Informatics, Vanderbilt University; Nurse Scientist, U.S. Department of Veterans Affairs

Track Summary: Machine learning, deep learning and recurrent neural networks? What does it all mean? In this workshop, we will conduct an exploration of various types of machine learning techniques. Through a combination of presentations and hands-on exercises, participants will learn about the most common machine learning approaches, their advantages, disadvantages and where they can best be applied in healthcare settings.


Track 4 - Interprofessional Core Data and its Potential for Team Care

Connie White Delaney, PhD, RN, FAAN, FACMI, FNAP
Professor & Dean, University of Minnesota School of Nursing

Kristen K. Will, PhD, MHPE, PA-C
Director, Clinical Programs and Accreditation; Clinical Associate Professor, College of Health Solutions, Arizona State University

Track Summary: This 3-hour interactive workshop will focus on the utility and efficacy of utilizing Interprofessional core data sets and the EHR to study team-based care and will allow the participant to apply the knowledge gained during this workshop to apply the concepts and develop a strategy to leverage big data in order to better study teams and their impact on desired patient outcomes. Participants will also discuss and reflect upon the implications for future research to study teams utilizing a big data approach.

Track 5 - Transforming Documentation – Admission history and Nursing Notes Release

Rebecca Freeman, PhD, RN, FAAN, FNAP
Vice President of Health Informatics for the University of Vermont Health Network

Jane Englebright, PhD, RN, FAAN
Chief Nurse Executive and Senior Vice President for HCA Healthcare

David L. Boyd, DNP, RN, CNS, CPHIMS, RN-BC
Regional Director – Nursing Informatics, Kaiser Permanente * Patient Care Services – Northern California

Track Summary: This track will discuss the current imperatives driving the need for improved nursing documentation. The Track 5 leaders will focus on the impact of regulations on the release of nursing to patients, evaluating the consequences of transparency on nursing documentation. It will also focus on the national movement towards a standardized nursing assessment, to reduce documentation burden. Track 5 leaders will highlight lessons learned and opportunities for advancement; we will also employ breakout groups to solicit feedback on how to create successful national initiatives for standardization.

June 10 - Conference - Day 1

Reactor panel – Artificial Intelligence and the Future of Nursing

Facilitator: Rebecca Freeman, PhD, RN, PMP
Vice President of Health Informatics for the University of Vermont Health Network

Nurse Executive, Health IT Leader

Whende M. Carroll, MSN, RN-BC, FHIMSS
Nurse Informaticist Specialist, Contigo Health

Martin Michalowski, PhD, FAMIA
Assistant Professor, School of Nursing University of Minnesota