Suzanne Sullivan, PhD, MBA, RN, CHPN

Assistant Professor

Suzanne Sullivan.

ADDRESS:
School of Nursing
University at Buffalo
201 A Wende Hall
Buffalo, NY 14214-8013

As a home health and hospice nurse, I have often been distressed by how frequently people living with serious illness experience unwanted or non-beneficial treatments at the end-of-life because they have not engaged in discussions about serious illness goals for care. I hope that my research will uncover new opportunities to assist nurses in this area.

Suzanne Sullivan is an assistant professor at the School of Nursing who dedicates her research to end-of-life care. Recently, Sullivan has developed a predictive model for 12-month mortality risk among community-dwelling, older adults using a large, nationally representative dataset of 635,000 individuals receiving skilled home health care. Through her work, Sullivan demonstrates that nurse-sensitive data is a valuable resource for achieving the quadruple aim (enhancing the patient experience, improving population health, reducing costs and improving the work life of health care providers).

Currently, Sullivan is conducting a grounded theory study that explores how homecare nurses recognize serious illness in older adults and how they use decision support tools to guide transitions in care. She plans to integrate the findings of this study with the predictive model to develop an approach that assists homecare nurses in identifying older adults at risk for decline/death so that they can support patients and their families in transitioning to palliative and hospice care programs.

Additionally, Sullivan is working with a team of researchers from the School of Nursing, Jacobs School of Medicine and Biomedical Sciences, and Department of Biomedical Informatics to develop a customized training program for research scientists to use data science approaches to address the needs of individuals and their families in the context of Alzheimer’s disease and related dementias (AD/ADRD). The team focuses on predicting functional decline, mortality risk and sleep in people with AD/ADRD.

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