At the forefront of AI, informatics and consumer health technologies

^{The pre-conference session provided insight into projects to enhance digital health equity, social determinants of health data collection and data re-use for research.}

The faculty members of the Center for Nursing Informatics are at the forefront of nurses’ engagement in various national and international initiatives such as ethical issues in artificial intelligence in nursing, population health informatics, and consumer-health technologies.

This year was the 12th-Annual Nursing Knowledge: Big Data Science (NKBDS) Conference held June 5-7, with the focus on AI, Your Social Mirror to Your Data, Your Digital Twin is in the Data. Keynote speaker Peter Klein, chairman of Educated Change, explored how AI, particularly through Large Language Models, acts as a social mirror reflecting human behavior and discussed the transformative potential in nursing informatics to enhance personalized patient care and health care outcomes through digital tools and a growth mindset.

Assistant Professor Robin Austin, PhD, DNP, DC, RN-BC, FAMIA, FNAP, and Associate Professor Sripriya Rajamani, PhD, MBBS, MPH, hosted a pre-conference session Project Showcase on Multi-Modal Approaches to Social Drivers of Health (SDOH). This pre-conference provided insight into current existing projects to enhance digital health equity, social determinants of health data collection and data re-use for research. The TRIUMPH grant funding supported 15 students and professionals interested in public health informatics. This grant also provided support for PhD in Nursing graduate Ratchada Jantraporn to earn a Population Health Informatics and Technology (PHIT) Certificate. Jantraporn was recently selected for a two-year Public Health Informatics Fellowship through the National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) at the Center for Disease Control and Prevention (CDC).

Associate Professor Martin Michalowski, PhD, FAMIA, presented at the NI 2024 conference in Manchester, UK. He co-led an initiative to create a core set of Constitutional Artificial Intelligence (AI) principles tailored for nursing. This initiative convened a diverse group of stakeholders to gain insights into the potential benefits and challenges of adopting a Constitutional AI approach in nursing. It was organized by the Nursing and Artificial Intelligence Leadership (NAIL) Collaborative, which aims to transform nursing with AI, and where Michalowski is a co-founder.

For more information about these initiatives please contact center faculty at quis0026@umn.edu.