Kenrick Cato, PhD, RN, CPHIMS, FAAN

Our research team has combined machine learning and clinical decision support in developing the CONCERN Clinical Decision Support system which models Nursing expert judgement to predict patient deterioration. Our software won the American Medical Informatics Association’s 2022 HL7 Fast Healthcare Interoperability Resources (FHIR®) software competition.

I am proud to be a member of the Diversity Committee of the American Medical Informatics Association. In 2010, I was a founding member of the Columbia University School of Nursing Diversity Committee. Also, I have used my expertise to create non-biased predictors of patient outcomes.

I have taught health care information systems on the baccalaureate level and clinical informatics and data mining on the graduate level.

My work has been guided by National Academy of Medicine reports that highlight issues related to patient safety and clinician burnout that focus my efforts on three areas: (1) Nursing-related electronic patient data to support clinical decision-making; (2) Characterizing clinical phenomena from electronic patient data; (3) Reducing clinical burnout through clinical informatics; and (4) the implications of the use of artificial intelligence in Nursing.

I work closely with interdisciplinary teams at the Children’s Hospital of Philadelphia, the State University of New York Downstate Medical Center, New York Presbyterian Hospital, Mass General Brigham Health System, Harvard University, Vanderbilt University, the University of Victoria, Victoria, British Columbia, Canada and other national and international partners to conduct applied clinical informatics research and implementation.

• AMIA/HL7 FHIR Applications Completion 2022 1st Place Winner
• Board member ELDR (www.youreldr.com)
• Outstanding Faculty Award from Columbia University School of Nursing
• Board member of the American Medical Association
• Co-Chair American Medical Informatics Association Clinical Informatics Conference
• Fellow American Academy of Nursing
• Caribbean American Healthcare Professional Award
• Fellow Columbia University Data Science Institute
• Fellow, New York Academy of Medicine
• Bronze Star, Unites States Army
• Journal of Medical Internet Research (JMIR) Nursing, Editorial Board Member
• Journal of Emergency Nursing, Editorial Board Member

• 2023 Columbia University School of Nursing, Distinguished Alumni Award Recipients for Nursing Research