NINR’s Artificial Intelligence Boot Camp will take place August 3-6, 2020. The event will be broadcast live via VideoCast and archived for later viewing.
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
- Session II: Clinical Applications
- Session III: Ethical, Legal, And Social Implications
- Session IV: Collaborative Science
Session I: Innovations and Improvements in Health Outcomes | Watch Video | |
|---|---|---|
| Session Chair: Glorivee Pagan-Mercado, PhD, Postdoctoral Research Fellow, NINR | ||
| Noon | Opening Remarks Tara A. Schwetz, PhD, Acting Director, National Institute of Nursing Research | |
| 12:10 p.m. | Introduction to AI and its Surgical Applications Richard M. Satava, MD, FACS, Professor Emeritus of Surgery, University of Washington Medical Center, Seattle | |
| 12:40 p.m. | 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 p.m. | 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 p.m. | Panel Discussion | |
| 2:10 p.m. | Adjourn Day 1 | |
Session II: Clinical Applications | Watch Video | |
|---|---|---|
| Session Chair: Lichen Xiang, PhD, Research Fellow, NINR | ||
| Noon | Program Overview Jessica Gill, PhD, RN, FAAN, Acting Deputy Director, National Institute of Nursing Research | |
| 12:10 p.m. | 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 p.m. | Q&A | |
| 12:40 p.m. | 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 p.m. | Q&A | |
| 1:10 p.m. | 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 p.m. | Adjourn Day 2 | |
Session III: Ethical, Legal, And Social Implications | Watch Video | |
|---|---|---|
| Session Chair: Emma Kurnat-Thoma, PhD, MS, RN, Postdoctoral Research Fellow, NINR | ||
| Noon | Program Overview Rebekah Rasooly, PhD, Branch Chief, Wellness; Technology and Training, National Institute of Nursing Research | |
| 12:10 p.m. | 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 p.m. | 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 p.m. | Privacy and Security Basics for Advanced Analytics Using Electronic Health Information 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 p.m. | 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 p.m. | Panel Discussion | |
| 1:30 p.m. | Breakout Session ELSI Case Discussion: Q&A | |
| 2:10 p.m. | Adjourn Day 3 | |
Session IV: Collaborative Science | Watch Video | |
|---|---|---|
| Session Chair: Vivian Guedes, PhD, Research Fellow, NINR | ||
| Noon | Program Overview Pamela Tamez, PhD, Training Director, National Institute of Nursing Research | |
| 12:10 p.m. | 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 p.m. | 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 p.m. | Panel Discussion | |
| 1:10 p.m. | 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 p.m. | Adjourn Day 4 and Wrap-Up | |