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Sarah Collins Rossetti

RN, PhD, FAAN, FACMI, FAMIA

sac2125@cumc.columbia.edu

Sarah Collins Rossetti, RN, PhD, FAAN, FACMI, FAMIA (sac2125@cumc.columbia.edu): is an Associate Professor of Biomedical Informatics and Nursing at Columbia University. Her research is focused on identifying and intervening on patient risk for harm by applying computational tools to mine and extract value from electronic health record (EHR) data and leveraging user-centered design for patient-centered technologies. Previously she was a Senior Informatician at Brigham and Women’s Hospital and Harvard Medical School. Dr. Rossetti is an experienced critical care nurse, received her PhD from Columbia University School of Nursing, and completed a Post-Doctoral Research Fellowship at Columbia University’s Department of Biomedical Informatics. Dr. Rossetti serves as MPI of the multi-site National Institute of Nursing Research (NINR) funded R01 CONCERN study and AHRQ funded R01 EndBurden Study. She is also the Chair of AMIA’s 25x5 Task Force to Reduce Documentation Burden. Dr. Rossetti has served on the Board of Directors for AMIA, Policy Coordinator for the Alliance for Nursing Informatics, and Co-Chair of the NLM funded 25 By 5 Symposium Series to Reduce Documentation Burden on U.S. Clinicians by 75% by 2025. She was nominated by NINR and selected as a 2019 recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE). The PECASE is the highest honor bestowed by the United States Government to outstanding scientists and engineers who are beginning their independent research careers and who show exceptional promise for leadership in science and technology.

Kenrick Cato

PhD, RN, CPHIMS, FAAN

kdc2110@cumc.columbia.edu

Kenrick Cato, PhD, RN, CPHIMS, FAAN, (kdc2110@cumc.columbia.edu): is an Assistant Professor for Columbia University School of Nursing and the Columbia University Irving Medical Center Department of Emergency Medicine, respectively. Dr. Cato has successfully led health information technology implementations having previously worked as an EHR analyst in the NYP IT department. He co leads the multi-site, NIH funded CONCERN study as an MPI with Dr. Rossetti. Dr. Cato has expertise in development, implementation and evaluation of informatics interventions, and analytics of electronic health record (EHR) data, with a focus on phenotyping. He is Epic certified, with a program of research that focuses on the use of electronic patient data to support clinical decision support. Based on his clinical informatics expertise, he was chosen to be the co-chair of the 2021 American Medical Informatics Association(AMIA) Clinical Informatics Conference, a board member of AMIA., and the chair-elect of the Nursing Informatics Working Group of AMIA. As a MPI in this proposed study, he will provide expertise related to toolkit development and dissemination activities. He will also collaborate with other members of the multi-site research team in activities related to successful completion of the proposed study aims.

Haomiao Jia

PhD

hj2198@columbia.edu

Haomiao Jia, PhD (hj2198@columbia.edu) is Professor of Biostatistics (in Nursing) at the Columbia University Medical Center. He will provide biostatistical guidance to statistical modeling and perform statistical analyses of research data. He has served as the Biostatistician in many federally funded research projects and is proficient in statistical methods as well as in statistical computing and database management. Dr. Jia has strong expertise in temporal-spatial analysis, predictive models, survival analyses, and randomized controlled trials, and dealing with selection and nonresponse bias all of which are important for the proposed study. Dr. Jia has a rich history of collaboration with the CONCERN project team, serving as the biostatistician for the current R01 funded study. He will bring his expertise to help the research team successfully conduct the study.

Patricia Dykes

PhD, MA, RN

pdykes@bwh.harvard.edu

Patricia Dykes PhD, MA, RN (pdykes@bwh.harvard.edu) is Associate Professor of Medicine at Harvard Medical School and Program Director of Research in the Center for Patient Safety, Research and Practice at Brigham and Women’s Hospital. Her research aims to improve quality and safety through patient engagement and clinical decision support (CDS). To reduce falls and injuries, she developed the Fall TIPS Toolkit <www.FallTIPS.org> which has been shown to reduce falls and injuries and is adopted in over 250 hospitals in US including the VA and DOD. Currently she is leading two federally funded, multi-site projects to improve fall prevention CDS in primary care including developing a care plan collaboration tool and personalized exercise prescriptions. Dr. Dykes is also leading development of a set of eCQMs for CMS and for the Gordon and Betty Moore Foundation. She is the site PI for the NINR-funded CONCERN study which uses data science and machine learning approaches to identify hospitalized patients at risk for deterioration. Dr. Dykes is author of 2 books, over 150 peer reviewed publications and has presented her work nationally and internationally. She is immediate past President and Board Chair of the American Medical Informatics Association, an elected fellow of American Academy of Nursing, and the American College of Medical Informatics.

Catherine H Ivory

PhD, RN-BC, RNC-OB, NEA-BC, FAAN

cathy.ivory@vumc.org

Catherine H Ivory, PhD, RN-BC, RNC-OB, NEA-BC, FAAN (cathy.ivory@vumc.org): is the Senior Director of Nursing Research at Vanderbilt University Medical Center and an Associate Professor of Clinical Nursing at Vanderbilt University School of Nursing, with a secondary appointment in the Department of Biomedical Informatics. Dr. Ivory oversees the VUMC Office of EBP & Nursing Research, which supports evidence-based practice (EBP) and research activities of nurses across the enterprise. She has over twenty years of experience as a nurse leader, nurse informaticist and health services researcher. Dr. Ivory’s research interests focus on using data generated by nurses to demonstrate the unique contribution of nursing care to operational and clinical outcomes. She has been funded through the Association of Women’s Health, Obstetric and Neonatal Nurses (AWHONN) for work to explore the impact of healthcare IT on intrapartum nurses in the United States and her dissertation study pioneered work to standardize terminology used to measure failure to rescue in perinatal nursing. At VUMC, she is a current mentor to novice nurse investigators who are exploring other AI initiatives to support nursing practice, including pressure injury risk identification and implementation of interventions for patients identified in ambulatory settings to be at risk for suicide. Dr. Ivory will serve as the site PI at Vanderbilt University.

Po-Yin Yen

RN, PhD, FAMIA, FAAN

yenp@wustl.edu

Po-Yin Yen, RN, PhD, FAMIA, FAAN (yenp@wustl.edu) is an Associate Professor in the Institute for Informatics, Washington University in St Louis, and the Goldfarb School of Nursing at Barnes-Jewish College (BJC) Healthcare. Dr. Yen has extensive experience and expertise in measurements, nursing workload, and workflow analysis, and has worked closely with clinicians on practice-driven research, ranging from enhancing patient engagement, integrating visual analytics approaches, investigating clinician burnout, to informing workload and health IT redesign. Currently, Dr. Yen is working with Dr. Rossetti on addressing nursing documentation burden by examining which documentation is essential to patient care, thereby improving nurses’ ability to practice at the top of their licensure and advance outcomes. In the proposed research, she will work with Drs. Rossetti and Cato closely, manage the collaborative efforts of the investigators, and ensure compliance with the policies and procedures of Washington University in St. Louis.

Albert Lai

PhD

amlai@wustl.edu

Albert Lai, PhD (amlai@wustl.edu) is an Associate Professor, the Chief Research Information Officer for the Washington University School of Medicine, and Deputy Director of the Institute for Informatics, which serves as the academic and professional home for informatics science and practice at Washington University in St. Louis. He has extensive experience and expertise with data sharing, log file analysis, and clinical natural language processing. His recent research has focused on the use of structured and unstructured data from the electronic health record to pre-screen patients for clinical trials. With this background, he is well positioned to assist Drs. Rossetti, Cato and Yen with gaining access to data from the EHR as well as implementing the CONCERN toolkit.

Adam Wilcox

PhD

a.wilcox@wustl.edu

Adam Wilcox, PhD (a.wilcox@wustl.edu) is a Professor and the Director of the Center for Applied Clinical Informatics at the Institute for Informatics at WUSM. Dr. Wilcox has led efforts across multiple institutions in application of clinical informatics and analytics, including clinical decision support, analytics strategy, and research informatics and data sharing. Dr. Wilcox is an appointed a member of the PCORI Methodology Committee and an elected fellow of the American College of Medical Informatics.

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