9-10:00 A.M. | KEYNOTE

Title: From Precision Health to Healthy AI: The role of the National Library of Medicine in 21st Century Care
Patricia Flatley Brennan, RN, PhD, Director, National Library of Medicine (NLM)
Purpose: To reaffirm the commitment of the National Library of Medicine as a partner in providing personalized patient care and accelerating the discovery of nursing knowledge.
Learning objectives:
● Characterize the unique contributions of nursing to precision health.
● Critically appraise the NLM’s support for precision health
● Information delivery
● Access to research data
● Conduct and disseminate research in computational health and computational biology
● Workforce preparation
● Develop responses to the challenges engendered by informatics solutions in support of personalized patient care and the accelerating knowledge discovery in nursing

10-11 a.m. | Session 1: Global perspectives on Data-Powered Nursing

Gap: Nursing informatics is a rapidly growing discipline and of growing importance as health care and health promotion around the world increasingly relies on data and technology. Therefore, it is important to share evidence and collaborate on a global scale to advance the discipline. Currently, vast differences exist in the advancement of nursing informatics across different countries. There is a need for expanded opportunities for global dissemination and collaboration, as well as efforts to develop a global nursing informatics community. In this session, experts from three continents will share their most current research, and their sessions will be followed by a discussion facilitated around global perspectives and challenges in nursing informatics.


  • Title: Introduction to Public Healthcare Big Data in Korea and the United States.
    Jungmin Park, PhD, MPH, RN, Assistant Professor School of Nursing & Graduate School of Clinical Nursing, Hanyang University, Seoul, South Korea.
    Purpose: To introduce public healthcare big data for researchers and the current healthcare platform service in Korea.
    Learning objectives:
    ● Highlight how we can use public healthcare big data in Korea and the US.
    ● Outline the current healthcare platform service in Korea.
    ● Describe the barriers of using public healthcare big data and the healthcare platform service in Korea.
  • Title: Advances in Nursing Informatics: A UK perspective
    Dawn Dowding, Dawn Dowding PhD, RN, FAAN, Professor in Clinical Decision Making, Division of Nursing, Midwifery and Social Work, University of Manchester, Manchester, UK
    Purpose: To provide an overview of current initiatives in the UK focused on developing a nursing informatics practice, education, and research community.
    Learning objectives:
    ● Describe the current initiatives in the UK to promote nursing informatics as a career for clinical nurses.
    ● Outline the strategic approaches in place in the UK to develop the infrastructure for technology-enabled nursing practice.
    ● Describe current research initiatives being undertaken in the UK in the field of nursing informatics.
  • Title: Perspectives on Data-Powered Nursing in Brazil
    Speaker: Rodrigo Jensen, PhD, MSN, RN, Assistant Professor, Botucatu Medical School, Sao Paulo State University (UNESP), Sao Paulo, Brazil
    Purpose: Reflect on the current scenario of health and nursing informatics in Brazil. Critically analyze the main electronic nursing documentation systems used in Brazilian health services. Reflect on the current scenario of nursing informatics education in Brazil.
    Learning objectives:
    ● Outline the current state of electronic nursing documentation in Brazilian health services and how it is structured.
    ● Identify initiatives and current research focused on the analysis of nursing data extracted from electronic nursing documentation systems used in Brazil.
    ● Describe the education of nursing informatics that has taken place in Brazil.

11 a.m. to noon | Session 2: Digital Care Delivery and Clinical Translation

Gap: Challenges remain in the clinical translation of nursing and health informatics into practice and the community. In this session, we will highlight recent findings and advances in reaching vulnerable populations through mHealth and telehealth, as well as the development and testing of tailored clinical decision-support.


  • Title: Translating a group-based in-person intervention onto a mobile platform and testing in a group of high-risk youth.
    Rebecca Schnall, PhD, MPH, RN-BC, FAAN, Mary Dickey Lindsay Professor of Disease Prevention and Health Promotion, School of Nursing, Columbia University, New York, NY
    Purpose: To describe the process for adapting a group based in person behavioral health intervention into a mobile health intervention and describe the process for ensuring its usability.
    Learning objectives:
    ● Discuss the process for adapting a group-based in person intervention onto a mobile platform.
    ● Describe the usability methods employed to ensure the intervention meets the end-users’ needs.
    ● Explain the process for assessing the efficacy of this intervention in a multi-site trial.
  • Title: Innovative Preclinical Testing Methods for Building Useful and Generalizable Nursing Clinical Decision Support Systems
    Speakers: Gail Keenan, PhD, RN, FAAN, R. Murray And Annabel Davis Jenks Endowed Professor, College of Nursing, University of Florida, Gainesville, FL & Karen Dunn-Lopez, PhD, MPH, RN, Associate Professor, College of Nursing, University of Iowa, Iowa City, IA.
    Purpose: To introduce a viable new strategy for testing clinical decision support systems virtually with representative samples of nurses.
    Learning objectives:
    ● Identify a viable method for evaluating an RN CDS electronic system virtually across the country.
    ● Explain a strategy for pre-testing a newly developed software virtual intervention.
    ● Describe how the national state board of nursing rosters can be used to recruit a representative national sample of RNs.
  • Title: Office of Connected Care Quality Management
    Speakers: Padraic M. McVeigh & Sarah S. Sazama, Office of Patient Care Services/Connected Care, Veterans Health Administration
    Purpose: The purpose of this presentation is to show how the Office of Connected Care Quality Management team uses innovative data-driven practices to improve the quality of care for Veterans and enables Connected Care to implement performance improvement measures.
    Learning objectives:
    ● Describe Veteran care quality management in the Office of Connected Care.
    ● Discuss real-life use of data via the Conditions of Participation and Virtual Care Scoreboard.
    ● Summarize how data is directly used to improve Veteran Care.

Noon to 1 p.m. | LUNCH and Virtual Poster Session with Twitter Discussion (No CEUs)

1-3 p.m. | Session 3: Precision Nursing and Health

Gap: In recent years, advances in data science, computing, and biomarker research have given rise to the promise of precision health, a personalized approach to healthcare where health promotion and care are tailored to each person based on their unique genetic or genomic composition and the cultural, social, and economic context they live in. However, substantial gaps remain, including a need for the development and validation of robust and interpretable data science approaches and a lack of patient engagement and shared decision-making related to precision health. In addition, numerous ethical issues have emerged as inherent in precision health approaches, such as privacy and data security issues, and concerns about the propagation of racial, ethnic, and socioeconomic health disparities.


  • Title: Harnessing the power of nursing data for better clinical decision support
    Maxim Topaz, PhD, RN, Elizabeth Standish Gill Associate Professor of Nursing, School of Nursing, Columbia University, New York, NY
    Purpose: To provide an overview of natural language processing and its application for precision nursing and clinical decision support
    Learning objectives:
    ● Define natural language processing and its applications in nursing.
    ● Describe clinical decision support and its applications in nursing.
    ● Articulate how nursing data can be harnessed to create clinical decision support tools.
  • Title: Developing a precision nursing mobile app for post-acute care  
    Blaine Reeder, PhD, Associate Professor, Sinclair School of Nursing, University of Missouri, Columbia, MO
    Purpose: To describe the development of a mobile app to support precision nursing and evidence-based practice in post-acute care
    Learning objectives:
    ● Describe the potential for new apps and systems to support evidence-based practice and communication in post-acute care.
    ● Describe aspects of the emerging concept of precision nursing.
    ● Identify the relationship of precision nursing to precision health.
  • Title: ACTIVATE: A precision approach to digital health for underserved communities in response to COVID-19
    Katherine Kim, PhD, MPH, MBA, Associate Professor, Betty Irene Moore School of Nursing, UC Davis, Davis, CA
    Purpose: To share a model for delivering precision chronic illness care using digital health technologies to underserved patients via community health centers
    Learning objectives:
    ● Relate key concepts in delivering precision chronic illness care.
    ● Describe the relevance of remote patient monitoring, digital readiness, and health literacy to precision care delivery.
    ● Discuss how rural and underserved communities are leveraging digital health to deliver precision nursing care and care coordination.
  • Title: Moving beyond RACE in Precision Nursing Research
    Staja Booker, PhD, RN, Assistant Professor, Keesha Roach, PhD, RN, Assistant Professor, & Jennifer Dungan, PhD, MSN, Associate Professor, College of Nursing, University of Florida, Gainesville, FL
    Purpose: To provide a historical overview and state-of-the-science review of pain biomarker research from the perspective of social determinants of health. To discuss strategies to mitigate racism and health inequities in symptom science research.
    Learning objectives:
    ● Recognize historical perspectives for biological views of pain health disparities.
    ● Using nursing research exemplars in pain, characterize biomarkers associated with health disparities.
    ● Discuss pervasive ways precision biomarker research may exacerbate pain health disparities, as well as ways to address health disparities with biomarkers that are just, equitable, and responsible.