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NINR Methodologies Boot Camp: Artificial Intelligence

August 03, 2020 - August 06, 2020

via VideoCast

2020 Boot Camp: AI

Registration for NINR’s Artificial Intelligence Boot Camp is now open. The Boot Camp will take place August 3-6, 2020 and be held virtually. Registration is not an application process and will close at 5:00 pm on July 27.

Register

The 2020 Boot Camp will explore the impact that Artificial Intelligence (AI) has in the evolving healthcare environment, and overall efforts to improve the quality of care for patients and families. The goal is to enable attendees to understand basic principles of AI and how clinicians can form strategic alliances with data scientists to carry out research on data-driven intelligent hardware and software approaches to health-related issues.

Course Objectives

  • Describe the field of Artificial Intelligence (AI) and explore the role of AI to promote health, and to prevent illness.
  • Discuss strategies to build partnerships and collaborations among clinicians and scientists.
  • Explore AI data collection, including ethical, legal, and social implications. 
  • Analyze clinical and translational AI applications that can reach more diverse patient populations and improve the safety, efficacy, and quality of healthcare.

*Continuing Education Units (CEUs) will be available for this event.

Boot Camp Agenda

The Boot Camp will consist of four sessions:

Session I: Innovations and Improvements in Health Outcomes
Monday, August 3, 2020

Session Chair:
Glorivee Pagan-Mercado, PhD, Postdoctoral IRTA, NINR
Noon Opening Remarks
Tara A. Schwetz, PhD, Acting Director, National Institute of Nursing Research
12:10 PM Introduction to AI and its Surgical Applications
Richard M. Satava, MD, FACS, Professor Emeritus of Surgery, University of Washington Medical Center, Seattle
12:40 PM Harnessing the Power of Data Through Sharing: An NIH Perspective
Maryam Zaringhalam, PhD, National Library of Medicine (NLM) Data Science & Open Science Officer, Office of Strategic Initiatives, NLM/NIH
1:10 PM Using Data to Forecast and Nowcast Patient Condition—Can We Objectify Intuition?
Marilyn Hravnak, RN, PhD, CCNS, FAAN, MCCM, Tenured professor, University of Pittsburgh, School of Medicine 
1:40 PM Panel Discussion
2:10 PM Adjourn Day 1

Session II: Clinical Applications
Tuesday, August 4, 2020

Session Chair:
Lichen Xiang, PhD, Research Fellow, NINR
Noon Program Overview
12:10 PM Natural Language Processing of Nursing Data for Better Decision Support
Maxim Topaz, PhD, RN, MA, Elizabeth Standish Gill Associate Professor of Nursing, Columbia University Medical Center 
12:35 PM Q&A
12:40 PM Artificial Intelligence for Children with Chronic Disease:  Social and Emotional Support Tools for Children with Sickle Cell Disease
Gloria Washington, PhD, Assistant Professor of Computer Science;
Director - Affective Biometrics Lab (ABL), Howard University, Washington, DC
1:05 PM Q&A
1:10 PM Breakout Session
Software for Natural Language Processing in Nursing

Maxim Topaz, PhD, RN, MA, Elizabeth Standish Gill Associate Professor of Nursing, Columbia University Medical Center
2:10 PM Adjourn Day 2

Session III: Ethical, Legal, And Social Implications
Wednesday, August 5, 2020

Session Chair:
Emma Kurnat-Thoma, PhD, MS, RN, Postdoctoral IRTA, NINR
Noon Program Overview
12:10 PM Artificial Intelligence in Health Care: Ethical and Social Implications
George Demiris, PhD, FACMI, Penn Integrates Knowledge University Professor
Department of Biobehavioral Health Sciences, School of Nursing &
Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine
University of Pennsylvania, Philadelphia, PA
12:25 PM The Challenges of Bias, Transparency, and Fairness in Clinical Implementations of AI
Michael E. Matheny, MD, MS, MPH, Co-Director Center for Improving the Public’s Health through Informatics; Vanderbilt University Medical Center; Associate Professor in the Departments of Biomedical Informatics, Medicine, and Biostatistics, Vanderbilt University Medical Center
12:40 PM Privacy and Security Basics for Advanced Analytics Using EHI
Kathryn Marchesini, JD, PMP, CISSP, Chief Privacy Officer at the U.S. Department of Health and Human Services (HHS), Office of the National Coordinator for Health Information Technology (ONC), Washington DC
12:55 PM Data as Inequality: A Maternal Mortality Case Study
Rediet Abebe, PhD, Junior Fellow, Harvard University; Assistant professor of Computer Science at University of California, Berkeley
1:10 PM Panel Discussion
1:30 PM Breakout Session
ELSI Case Discussion: Q&A
2:10 PM Adjourn Day 3

Session IV: Collaborative Science
Thursday, August 6, 2020

Session Chair:
Vivian Guedes, PhD, Research Fellow, NINR
Noon Program Overview
12:10 PM The COVID-19 Response Guideline Challenge: Managing Rapidly Evolving Information Across Settings and Roles Using Nursing Intelligence Tools
Karen A. Monsen, PhD, RN, FAMIA, FAAN, Professor, University of Minnesota, School of Nursing, Minneapolis
12:30 PM The NLM as a Partner in Data Powered Discovery and Care
Patricia Flatley Brennan, PhD, RN, Director, National Library of Medicine; Adjunct Investigator, National Institute of Nursing Research
12:50 PM Panel Discussion
1:10 PM

Breakout Session
Omaha System Demo Session: MyStrenghts+MyHealth: Finding Resilience in Community During a Pandemic

Karen A. Monsen, PhD, RN, FAMIA, FAAN, Professor, University of Minnesota, School of Nursing, Minneapolis

2:10 PM Adjourn Day 4 and Wrap-Up
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