Dr. Abbott is an Associate Professor at the University of Michigan School of Nursing. Prior to arriving at U-M she was an Associate Professor at the Johns Hopkins Schools of Nursing and Medicine. She completed a 2-year post-doctoral NIH funded research fellowship in the Department of Computer Science in the Human Computer Interaction Laboratory (HCIL) at the University of Maryland College Park where she focused upon the design of usable and error-mitigating HIT. Dr. Abbott extended her research background in knowledge discovery in large datasets (data analytics) at the HCIL by also focusing upon visualization (making sense of huge collections of healthcare data in a way that provides value), human computer interaction, and user-centered design.
Dr. Abbott is interested in studying the the impact of telehealth technologies on disease self-management, particularly in vulnerable populations of home-dwelling congestive heart failure patients. She has served as a member of the Board of Directors of the American Medical Informatics Association (AMIA) and the Journal of the American Medical Informatics Association Editorial Board. She is a current member of the Biomedical Computing and Health Informatics Study Section at the US National Institutes of Health. She is a co-editor of NISTIR 7804 & NISTIR 7865, two recent NIST Certification Standards for US Electronic Health Record Systems (National Institutes of Science & Technology/NIST; US Department of Commerce). Dr. Abbott is passionate about developing IT for low-resource settings to increase health knowledge distribution to nurses and other care-givers in remote communities. Her work in using knowledge networks optimized for low bandwidth areas has led to involvement with the Rockefeller Foundation, the Pan American Health Organization (PAHO), and the World Health Organization (WHO). She is currently a member of the WHO e-Health Technical Advisory Group.
In order to transform the lives of the 53 million persons who are living with the effects of traumatic brain injury and to specifically impact those who sustain milder injuries (75% of those with injury), Dr. Bay’s research focuses on portable, easy-to-use behavioral interventions. By incorporating these interventions into the personal and worklives of persons sooner after injury, large gains for improved quality of life are made possible through daily symptom and stress self-management. Then, more permanent changes associated with the injury can be minimized or reduced. These mindfulness-based interventions can directly impact brain-behavior relationships. By incorporating these mind-body strategies into their personal lives, lessening of depressive and TBI-related symptoms is possible. This allows persons to manage their stress and achieve notable changes in work and family life.
Dr. Costa is an Assistant Professor in the Department of Systems, Populations & Leadership in the School of Nursing at the University of Michigan. She received a bachelor’s degree in Italian Studies from Boston University in 2004, a BSN from Binghamton University in 2005 and a Masters & PhD from University of Pennsylvania. While at Penn, she completed her doctoral work as a member of the Center for Health Outcomes and Policy Research working with Dr. Linda Aiken and colleagues. Prior to joining the University of Michigan faculty in 2014, Dr. Costa was the first nurse to complete a two-year post-doctoral fellowship in Critical Care Medicine at the University of Pittsburgh in the Clinical Research, Investigations and Systems Modeling of Acute Illness (CRISMA) Center working with Dr. Jeremy Kahn. In addition to her research training, Dr. Costa has years of experience as a critical care nurse, working in medical and surgical ICUs in Boston and Philadelphia.
Dr. Costa’s research focuses on improving outcomes of critically ill adults by optimizing the organization and management of critical care services. She is most interested in ways to improve the structure and function of the ICU interprofessional team. The underlying premise in Dr. Costa’s work is that high quality critical care is provided by well-coordinated and collaborative multi-professional teams and to improve outcomes for critically ill adults, we must improve ICU interprofessional care delivery. Dr. Costa’s work integrates approaches from epidemiology, health services methodology and systems science to provide novel solutions to critical care delivery issues.
Ivo D. Dinov, PhD is an associate professor in the School of Nursing, director of the Statistics Online Computational Resource (SOCR) and associate director of the Michigan Institute for Data Science (MIDAS). He is an expert in mathematical modeling, statistical analysis, computational processing and scientific visualization of large datasets (big data). His applied research is focused on informatics, multimodal biomedical image analysis, and distributed genomics computing.
Dr. Dinov is also a core member of the University of Michigan Comprehensive Cancer Center. Examples of specific research projects Dr. Dinov is involved in include longitudinal morphometric studies of development (e.g., Autism, Schizophrenia), maturation (e.g., depression, pain) and aging (e.g., Alzheimer’s disease, Parkinson’s disease). He also studies the intricate relations between genetic traits (e.g., SNPs), clinical phenotypes (e.g., disease, behavioral and psychological test) and subject demographics (e.g., race, gender, age) in variety of brain and heart related disorders. Dr. Dinov is developing, validating and disseminating novel technology-enhanced pedagogical approaches for scientific education and active learning.
Fadi Islim received his bachelor's degree in Nursing from the Applied Science University from Jordan in 2002. Then his MSN in Nursing Informatics in 2015, and currently finishing his Doctorate in Nursing, with expected graduation date in 04/2018. He joined University of Michigan Health System in 2006 within the Surgical Intensive care Unit, in 2012 he joined the HITS department as a Clinical business analyst for MiChart, and currently with the Nursing Informatics Department since 2015 as a Senior Informatics Analysts. During his period with the MiChart team/ HITS, he was active in projects used for Inpatient Clinical Documentation, Summary reports, Charge Capture, data Capture, specialty teams such as SWAT and ECMO, and he re-initiated the Superusers program for the Inpatient departments since he joined the Informatics department.
Fadi will earn his DNP degree in 2018 from the School of Nursing at University of Michigan.
Fadi’s professional of interests includes the application of technology within the electronic health record especially for Nursing and Allied Health, Predictive Analytics, and Usability.