Kenrick Dwain Cato, PhD, FAAN
Overview
Kenrick Cato, PhD, RN, CPHIMS, is a Nurse Researcher/Assistant Professor for NewYork-Presbyterian Hospital and Columbia University School of Nursing, respectively. Dr. Cato worked as a staff nurse at NewYork-Presbyterian Hospital providing care for surgical oncology patients and as a clinical analyst, working on projects to improve patient safety through the use of the hospital’s electronic systems. Dr. Cato’s program of research focuses on the use of data science to investigate ways of improving patient safety, quality of care, and individual health. Towards these goals, Dr. Cato’s previous work has included National Institute of Health funded research in health communication via mobile health platforms, shared decision making in primary care settings and data mining of electronic patient records. His current projects include automated data mining of electronic patient records to discover characters about a patient that are often missed by clinicians. He has published his findings in numerous peer-reviewed journals and at national and international conferences.
Academic Appointments
- Assistant Professor of Nursing
Gender
- Male
Credentials & Experience
Education & Training
- BA, 1994 Biology/Anthropology, Swarthmore College
- BS, 2008 Nursing, Columbia University School of Nursing
- PhD, RN, 2014 Clinical Informatics, Columbia University School of Nursing
Committees, Societies, Councils
American Medical Informatics Association 2009-Present
Oncology Nursing Society 2008- Present
Healthcare Information and Management Systems Society (HIMSS) 2010-Present
Sigma Theta Tau – Honor Society of Nursing 2012-Present
Honors & Awards
2005 Bronze Star Medal – Untied States Army
2007 Lincoln Scholar – Columbia University
2009 Oncology Nurse Scholar – Columbia University
2012 Jonas Veterans Scholar – Jonas Foundation
2015 Fellow, New York Academy of Medicine
2015 Fellow, Health Innovation Technology Laboratory (HITLAB)
Research
My program of research focuses on utilizing data science approaches to support clinical decision making.
Selected Publications
Cato KD, Bockting W, Larson E. Did I Tell You That? Ethical Issues Related to Using Computational Methods to Discover Non-Disclosed Patient Characteristics. Journal of Empirical Research on Human Research Ethics. 2016 Jul ;11(3):214-9.
Yoon S, Cohen B, Cato KD, Liu J, Larson EL. Visualization of Data Regarding Infections Using Eye Tracking Techniques. Journal of Nursing Scholarship. 2016 May 1;48(3):244-53.
Cato, KD., Cohen, B., Larson, E. (2015). Data elements and validation methods used for electronic surveillance of health care-associated infections: A systematic review. American Journal of Infection Control, 43(6):600-605. PMCID: PMC4456686.
Cato, KD., Cohen, B., Larson, E. (2015). Data elements and validation methods used for electronic surveillance of health care-associated infections: A systematic review. American Journal of Infection Control, 43(6):600-605. PMCID: PMC4456686.
Hum, R.S., Cato, K., Sheehan, B., Patel, S., Duchon, J., et al. (2014). Developing clinical decision support within a commercial electronic health record system to improve antimicrobial prescribing in the neonatal ICU. Appl Clin Inform, 5(2):368-87. PMCID: PMC4081742.
Collins, S.A., Cato, KD., Albers, D., Scott, K., Stetson, P.D., Bakken, S., Vawdrey, D.K. (2013). Relationship between nursing documentation and patients' mortality. Am J Crit Care, 22(4):306-313. PMCID: PMC3771321.
Cato K, Bakken S. What Am I Giving Tonight? Information Needs of Nurses Related To Patient Medications Administration While Using a Clinical Information System. (2012). NI 2012: The 11th International Congress on Nursing Informatics.
For a complete list of publications, please visit PubMed.gov