Caitlin Dreisbach, PhD

Dr. Caitlin Dreisbach brings unique insights into the intersection of data science and healthcare, serving as an Assistant Professor at the University of Rochester School of Nursing. With a joint affiliation at the Goergen Institute for Data Science, she is at the forefront of integrating quantitative methods into clinical practice, particularly in the realm of maternal health. Her expertise lies in leveraging data-driven approaches to improve clinical assessments during pregnancy, aiming to transform the way technology is utilized in labor and delivery settings. Dr. Dreisbach's research is dedicated to reimagining the technological landscape of maternity care. She is passionate about enhancing the quality of care that clinicians provide at the bedside, ensuring it is informed by both robust data and the lived experiences of birthing individuals. Her work seeks to bridge the gap between advanced data analytics and practical, compassionate healthcare delivery, ultimately aiming to improve outcomes for mothers and infants. In her academic role, Dr. Dreisbach is committed to educating the next generation of nurses and healthcare professionals. She integrates her research findings into her teaching, providing students with a comprehensive understanding of how data science can be applied to real-world healthcare challenges. Her innovative approach to nursing informatics inspires students to think critically about the future of healthcare technology. Dr. Dreisbach's contributions to the field are recognized through her active participation in interdisciplinary collaborations and her dedication to advancing nursing informatics. Her work not only enhances clinical practices but also contributes to the broader discourse on the role of technology in healthcare, making her a valuable asset to the University of Rochester and the wider medical community.