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(Sunmoo Yoon)

Sunmoo Yoon, Joseph E Schwartz, Matthew M Burg, Ian M Kronish, Carmela Alcantara, Jacob Julian, Faith Parsons, Karina W Davidson, Keith M Diaz
INTRODUCTION: This intervention study used mobile technologies to investigate whether those randomized to receive a personalized "activity fingerprint" (i.e., a one-time tailored message about personal predictors of exercise developed from 6 months of observational data) increased their physical activity levels relative to those not receiving the fingerprint. STUDY DESIGN: A 12-month randomized intervention study. SETTING/PARTICIPANTS: From 2014 to 2015, 79 intermittent exercisers had their daily physical activity assessed by accelerometry (Fitbit Flex) and daily stress experience, a potential predictor of exercise behavior, was assessed by smartphone...
February 8, 2018: American Journal of Preventive Medicine
Sunmoo Yoon
No abstract text is available yet for this article.
November 2016: Journal of the American Psychiatric Nurses Association
Sunmoo Yoon, Manuel C Co, Suzanne Bakken
We applied topic modeling techniques to 123,229 Tweets to gain insights about dementia caregiving as the foundation for future interventions. Network visualization elucidated the cultural similarities and differences of topics.
2016: Studies in Health Technology and Informatics
Haeyoung Lee, Sunmoo Yoon
No abstract text is available yet for this article.
2016: Studies in Health Technology and Informatics
Dawn Dowding, Adriana Arcia, Ragnhildur Ingibjargardottir Bjarnadottir, Sarah Iribarren, Sunmoo Yoon
In this panel we discuss how nursing informatics can provide a framework for carrying out population health nursing research, using a conceptual model for nursing and population health; the Conceptual Model of Nursing and Population Health (CMNPH). The panel will provide an overview of the CMNPH and then each presenter will present findings from ongoing informatics research that provides insights to different levels of the CNMPH model. The panel is targeted towards informatics researchers who wish to use novel informatics approaches to carry out population health research...
2016: Studies in Health Technology and Informatics
Sunmoo Yoon
New analytic strategies for streaming big data from wearable devices and social media are emerging in ehealth. We face challenges to find meaningful patterns from big data because researchers face difficulties to process big volume of streaming data using traditional processing applications.1 This introductory 180 minutes tutorial offers hand-on instruction on analytics2 (e.g., topic modeling, social network analysis) of streaming data. This tutorial aims to provide practical strategies of information on reducing dimensionality using examples of big data...
2016: Studies in Health Technology and Informatics
Sunmoo Yoon, Manuel C Co, Niurka Suero-Tejeda, Suzanne Bakken
We applied data mining techniques to a community-based behavioral dataset to build prediction models to gain insights about physical activity levels as the foundation for future interventions for urban Latinos. Our application of data mining strategies identified environment factors including having a convenient location for physical activity and psychological factors including depression as the strongest correlates of self-reported comparative physical activity among hundreds of variables. The data mining methods were useful to build prediction models to gain insights about perceptions of physical activity behavior as compared to peers...
2016: Studies in Health Technology and Informatics
Argerie Tsimicalis, Sylvie Le May, Jennifer Stinson, Janet Rennick, Marie-France Vachon, Julie Louli, Sarah Bérubé, Stephanie Treherne, Sunmoo Yoon, Trude Nordby Bøe, Cornelia Ruland
Sisom is an interactive tool designed to help children communicate their cancer symptoms. Important design issues relevant to other cancer populations remain unexplored. This single-site, descriptive, qualitative study was conducted to linguistically validate Sisom with a group of French-speaking children with cancer, their parents, and health care professionals. The linguistic validation process included 6 steps: (1) forward translation, (2) backward translation, (3) patient testing, (4) production of a Sisom French version, (5) patient testing this version, and (6) production of the final Sisom French prototype...
March 2017: Journal of Pediatric Oncology Nursing: Official Journal of the Association of Pediatric Oncology Nurses
Sunmoo Yoon, Bevin Cohen, Kenrick D Cato, Jianfang Liu, Elaine L Larson
OBJECTIVE: To evaluate ease of use and usefulness for nurses of visualizations of infectious disease transmission in a hospital. DESIGN: An observational study was used to evaluate perceptions of several visualizations of data extracted from electronic health records designed using a participatory approach. Twelve nurses in the master's program in an urban research-intensive nursing school participated in May 2015. METHODS: A convergent parallel mixed method was used to evaluate nurses' perceptions on ease of use and usefulness of five visualization conveying trends in hospital infection transmission applying think-aloud, interview, and eye-tracking techniques...
May 2016: Journal of Nursing Scholarship
Sunmoo Yoon, Jose Gutierrez
PURPOSE: Disability is a potential risk for stroke survivors. This study aims to identify disability risk factors associated with stroke and their relative importance and relationships from a national behavioral risk factor dataset. METHODS: Data of post-stroke individuals in the U.S (n=19,603) including 397 variables were extracted from a publically available national dataset and analyzed. Data mining algorithms including C4.5 and linear regression with M5s methods were applied to build association models for post-stroke disability using Weka software...
2016: British Journal of Medicine and Medical Research
Sunmoo Yoon, Jonathan A Shaffer, Suzanne Bakken
Healthcare environments are increasingly implementing health information technology (HIT) and those from various professions must be competent to use HIT in meaningful ways. In addition, HIT has been shown to enable interprofessional approaches to health care. The purpose of this article is to describe the refinement of the Self-Assessment of Nursing Informatics Competencies Scale (SANICS) using analytic techniques based upon item response theory (IRT) and discuss its relevance to interprofessional education and practice...
2015: Journal of Interprofessional Care
Suzanne Bakken, Sunmoo Yoon, Niurka Suero-Tejeda
Within the context of patient participation in a Learning Health System, this study examined consent rates and factors associated with consent for linking survey data with electronic clinical data in a sample of 2,271 Latinos. Consent rate was 96.3%. Government insurance status and health literacy significantly influenced the odds of consent.
2015: Studies in Health Technology and Informatics
Adriana Arcia, Niurka Suero-Tejeda, Michael E Bales, Jacqueline A Merrill, Sunmoo Yoon, Janet Woollen, Suzanne Bakken
OBJECTIVE: To collaborate with community members to develop tailored infographics that support comprehension of health information, engage the viewer, and may have the potential to motivate health-promoting behaviors. METHODS: The authors conducted participatory design sessions with community members, who were purposively sampled and grouped by preferred language (English, Spanish), age group (18-30, 31-60, >60 years), and level of health literacy (adequate, marginal, inadequate)...
January 2016: Journal of the American Medical Informatics Association: JAMIA
Michelle Odlum, Sunmoo Yoon
BACKGROUND: Twitter can address the challenges of the current Ebola outbreak surveillance. The aims of this study are to demonstrate the use of Twitter as a real-time method of Ebola outbreak surveillance to monitor information spread, capture early epidemic detection, and examine content of public knowledge and attitudes. METHODS: We collected tweets mentioning Ebola in English during the early stage of the current Ebola outbreak from July 24-August 1, 2014. Our analysis for this observational study includes time series analysis with geologic visualization to observe information dissemination and content analysis using natural language processing to examine public knowledge and attitudes...
June 2015: American Journal of Infection Control
Sunmoo Yoon, Sylvia Trembowelski, Richard C Steinman, Suzanne Bakken, Chunhua Weng
Despite the proliferation of research networking systems (RNS), their value and usage remains unknown. This study aims to characterize the temporal usage of an RNS, Columbia University Scientific Profiles (CUSP), and to inform the designs of general RNSs. We installed a free usage logging service, Google Analytics, on CUSP and applied time series analysis to compare the usage patterns of the two modes of CUSP: restricted (authenticated) and open access. More users searched by person names than by topics, although the latter enables in-depth vertical search of co-author or co-investigator networks for grants or publications...
2014: AMIA Summits on Translational Science Proceedings
Sunmoo Yoon, Niurka Suero-Tejeda, Suzanne Bakken
The current study applied innovative data mining techniques to a community survey dataset to develop prediction models for two aspects of physical activity (i.e., active transport and screen time) in a sample of urban, primarily Hispanic, older adults (N=2,514). Main predictors for active transport (accuracy=69.29%, precision=0.67, recall=0.69) were immigrant status, high level of anxiety, having a place for physical activity, and willingness to make time for physical activity. The main predictors for screen time (accuracy=63...
July 2015: Journal of Gerontological Nursing
Sunmoo Yoon, Adam B Wilcox, Suzanne Bakken
INTRODUCTION: To address the electronic health data fragmentation that is a methodological limitation of comparative effectiveness research (CER), the Washington Heights Inwood Informatics Infrastructure for Comparative Effectiveness Research (WICER) project is creating a patient-centered research data warehouse (RDW) by linking electronic clinical data (ECD) from New York Presbyterian Hospital's clinical data warehouse with ECD from ambulatory care, long-term care, and home health settings and the WICER community health survey (CHS)...
2013: EGEMS
Sunmoo Yoon, Basirah Taha, Suzanne Bakken
The purposes of this methodological paper are: 1) to describe data mining methods for building a classification model for a chronic disease using a U.S. behavior risk factor data set, and 2) to illustrate application of the methods using a case study of depressive disorder. Methods described include: 1) six steps of data mining to build a disease model using classification techniques, 2) an innovative approach to analyzing high-dimensionality data, and 3) a visualization strategy to communicate with clinicians who are unfamiliar with advanced statistics...
2014: Studies in Health Technology and Informatics
Sarah A Collins, Sunmoo Yoon, Maxine L Rockoff, David Nocenti, Suzanne Bakken
Despite of its emotional benefits, communication with family members who live abroad can present a large financial burden for low-income foreign-born individuals. The aims of this study were (1) to explore the current technologies available for low-cost communication with family living abroad and (2) to assess the level of awareness and use of low-cost technologies for family communication as well as related information needs among low-income foreign-born individuals. This mixed-methods study included an environmental scan, survey, and focus groups with low-income foreign-born individuals living in East Harlem in New York City...
March 2016: Health Informatics Journal
Adriana Arcia, Michael E Bales, William Brown, Manuel C Co, Melinda Gilmore, Young Ji Lee, Chin S Park, Jennifer Prey, Mark Velez, Janet Woollen, Sunmoo Yoon, Rita Kukafka, Jacqueline A Merrill, Suzanne Bakken
Many Americans are challenged by the tasks of understanding and acting upon their own health data. Low levels of health literacy contribute to poor comprehension and undermine the confidence necessary for health self-management. Visualizations are useful for minimizing comprehension gaps when communicating complex quantitative information. The process of developing visualizations that accommodate the needs of individuals with varying levels of health literacy remains undefined. In this paper we provide detailed descriptions of a) an iterative methodological approach to the development of visualizations, b) the resulting types of visualizations and examples thereof, and c) the types of data the visualizations will be used to convey...
2013: AMIA ... Annual Symposium Proceedings
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