Suzanne B. Bakken
· Professor of Biomedical Informatics, Alumni Professor of the School of NursingColumbia University · Doctor of Philosophy in Nursing
Active 2020–2023
About
Suzanne B. Bakken, PhD, MS, BSN, FAAN, FACMI, FIAHSI, is a Professor of Biomedical Informatics and an Alumni Professor of the School of Nursing at Columbia University. Her program of research focuses on the use of information and communication technologies and informatics processes to advance health equity. Her primary interests include community-engaged design approaches for informatics tools, information visualization, and health communication. She holds academic appointments as Professor of Biomedical Informatics and Alumni Professor of the School of Nursing, and serves as the Director of the Center for PriSSM and the Reducing Health Disparities Through Informatics Training Program. Additionally, she is the Vice Dean of Strategic & Innovative Research.
Research topics
- Medicine
- Physical therapy
- Internal medicine
- Psychology
- Gerontology
Selected publications
AIDS and Behavior · 2022 · 31 citations
- Medicine
- Clinical psychology
- Family medicine
Computational Support for Substance Use Disorder Prevention, Detection, Treatment, and Recovery
arXiv (Cornell University) · 2020 · 1 citations
- Computer Science
- Psychology
- Medicine
Substance Use Disorders (SUDs) involve the misuse of any or several of a wide array of substances, such as alcohol, opioids, marijuana, and methamphetamine. SUDs are characterized by an inability to decrease use despite severe social, economic, and health-related consequences to the individual. A 2017 national survey identified that 1 in 12 US adults have or have had a substance use disorder. The National Institute on Drug Abuse estimates that SUDs relating to alcohol, prescription opioids, and illicit drug use cost the United States over $520 billion annually due to crime, lost work productivity, and health care expenses. Most recently, the US Department of Health and Human Services has declared the national opioid crisis a public health emergency to address the growing number of opioid overdose deaths in the United States. In this interdisciplinary workshop, we explored how computational support - digital systems, algorithms, and sociotechnical approaches (which consider how technology and people interact as complex systems) - may enhance and enable innovative interventions for prevention, detection, treatment, and long-term recovery from SUDs. The Computing Community Consortium (CCC) sponsored a two-day workshop titled "Computational Support for Substance Use Disorder Prevention, Detection, Treatment, and Recovery" on November 14-15, 2019 in Washington, DC. As outcomes from this visioning process, we identified three broad opportunity areas for computational support in the SUD context: 1. Detecting and mitigating risk of SUD relapse, 2. Establishing and empowering social support networks, and 3. Collecting and sharing data meaningfully across ecologies of formal and informal care.
Frequent coauthors
- 11 shared
Meghan Reading Turchioe
Columbia University
- 11 shared
Ruth Masterson Creber
Columbia University
- 10 shared
Billy A. Caceres
Columbia University
- 10 shared
Theresa A. Koleck
University of Pittsburgh
- 9 shared
Haomiao Jia
Columbia University
- 9 shared
Hasan Garan
Columbia University
- 9 shared
Kathleen T. Hickey
Janssen (United States)
- 9 shared
Isaac Goldenthal
Columbia College
Awards & honors
- Virginia K. Saba Award for Nursing Informatics Leadership, S…
- Franciois Gremy Award of Excellence, International Medical I…
- International Nurse Researcher Hall of Fame, Sigma Theta Tau…
- Nursing Informatics Award, Friends of the National Library o…
- Fellow, International Academy of Health Sciences Informatics…
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