Hwayoung Cho

Hwayoung Cho, PhD, RN

Assistant Professor

Department: Family, Community and Health Systems Science
Business Phone: (352) 273-6347
Business Email: hcho@ufl.edu

About Hwayoung Cho


Dr. Cho teaches graduate Nursing and Nursing Informatics courses for Doctor of Nursing Practice (DNP) programs, including Applied Statistical Analysis, Theory and Research for Nursing, and Nursing Informatics and Information Management.


Expertise: electronic health records/clinical decision support; mHealth; usability; health disparities; symptom care

Dr. Cho’s research has focused on using technology for underserved populations to reduce health disparities, promote health outcomes and improve health-related quality of life. Her research work focuses on translating real-world evidence into informatics tools to facilitate the implementation of evidence-based practice. Specifically, her expertise is to establish the usability of technology-based interventions (e.g., mHealth apps) for patients in underserved communities (racial and ethnic minorities and those from low-socioeconomic groups) and EHR-based clinical decision support (CDS) tools for clinicians in hospitals.


Dr. Cho holds memberships in the American Medical Informatics Association (AMIA), Academy Health, Sigma Theta Tau International, and Eastern Nurses Research Society. Her service activities include serving on professional association committees such as Member-at-Large for AMIA Clinical Research Informatics Working Groups (2021-current), Search Committee: Determinants of Health for UF Health AI Positions at UF Health Science Center, Scientific Program Committee for AMIA conferences (2019-current), Guest Editor of the Special Issue “Mobile Health Technology” for the (international) MDPI Journals Future Internet (2022-current), and reviewing manuscripts.


Guest Editor of the Special Issue, Mobile Health Technology
2022-Current · MDPI Journals Future Internet (ISSN 1999-5903)
2021-Current · American Medical Informatics Association Clinical Research Informatics Working Groups
Search Committee: Determinants of Health for UF Health Artificial Intelligence (AI) Positions
2021-Current · UF Health Science Center
Scientific Program Committee – Clinical Research Informatics
2019-Current · American Medical Informatics Association conferences
Postdoctoral fellowship
2017-2019 · Columbia University School of Nursing
Predoctoral research assistantship
2015-2017 · Columbia University School of Nursing
Dean’s scholarship for academic excellence
2011 · Hanyang University, Seoul, Korea
Awards of academic excellence
2010 · Korean Society of Nursing Science, Seoul, Korea
Awards of the first grade student with the highest GPA
2010 · Hanyang University, Seoul, Korea

Teaching Profile

Courses Taught
NGR7970L Adv Nursing Project
NGR6101 Theory and Research for Nursing
NUR3737C Principles of Personalized Nursing Care 1
NGR6870 Nursing Informatics and Informationa Management
NGR6840 Applied Statistical Analysis I
NUR3227C Principles of Personalized Nursing Care 2
NUR4815 Professional Nursing Transformation
NGR6905 Individual Study
NUR3106 Lead and Inspire 1: Professional Nursing Practice
NGR6850 Research Methods and Evidence-Based Practice
NUR3168 Lead and Inspire 2: Research and Evidence-Based Nursing

Research Profile

Dr. Cho’s areas of expertise are nursing informatics, electronic health records, clinical decision support, mobile health, usability, symptom science, innovative methods, health disparities and underserved populations. Her recent research focuses on how to design and tailor technology-based interventions for vulnerable groups. Technology-based intervention have the potential to be an effective delivery mode of health information for underserved populations with chronic diseases because these populations often face barriers to accessing health information. An important part of her research is evaluating the usability of health information technology with an in-depth understanding of interactions between user, system, task, and real-world environment. As usability factors are major obstacles to technology adoption, usability must be considered before and after prototyping takes place to support the quality of technology in use. Dr. Cho has conducted multi-level usability evaluations using the most appropriate evaluation methods at each stage throughout the development process of the technology, including both quantitative as well as qualitative approaches, such as an innovative eye-tracking method, a card sorting technique, a heuristic evaluation, a cognitive walk-through, think-aloud protocols, focus groups and in-depth interviews.

Open Researcher and Contributor ID (ORCID)



Demographics, Trends, and Clinical Characteristics of HIV Pre-Exposure Prophylaxis Recipients and People Newly Diagnosed with HIV from Large Electronic Health Records in Florida.
AIDS patient care and STDs. 38(1):14-22 [DOI] 10.1089/apc.2023.0220. [PMID] 38227279.
Early childhood (1-5 years) obesity prevention: A systematic review of family-based multicomponent behavioral interventions.
Preventive medicine. 181 [DOI] 10.1016/j.ypmed.2024.107918. [PMID] 38417469.
Emergency Department Discharge Teaching Interventions: A Scoping Review
Journal of Emergency Nursing. [DOI] 10.1016/j.jen.2023.12.012.
Do Walk Step Reminders Improve Physical Activity in Persons Living With HIV in New York City?—Results From a Randomized Clinical Trial
Journal of the Association of Nurses in AIDS Care. 34(6):527-537 [DOI] 10.1097/jnc.0000000000000427.
Efficacy of an mHealth self-management intervention for persons living with HIV: the WiseApp randomized clinical trial
Journal of the American Medical Informatics Association. 30(3):418-426 [DOI] 10.1093/jamia/ocac233. [PMID] 36469808.
Examining Care Planning Efficiency and Clinical Decision Support Adoption in a System Tailoring to Nurses’ Graph Literacy: National, Web-Based Randomized Controlled Trial
Journal of Medical Internet Research. 25 [DOI] 10.2196/45043. [PMID] 37566456.
Representation of Environmental Concepts Associated with Health Impacts in Computer Standardized Clinical Terminologies.
Yearbook of medical informatics. 32(1):36-47 [DOI] 10.1055/s-0043-1768746. [PMID] 38147848.
The relationship between electronic health records user interface features and data quality of patient clinical information: an integrative review
Journal of the American Medical Informatics Association. 31(1):240-255 [DOI] 10.1093/jamia/ocad188. [PMID] 37740937.
Application of Natural Language Processing to Learn Insights on the Clinician’s Lived Experience of Electronic Health Records.
Studies in health technology and informatics. 289:81-84 [DOI] 10.3233/SHTI210864. [PMID] 35062097.
Assessing the Usability of a Clinical Decision Support System: Heuristic Evaluation
JMIR Human Factors. 9(2) [DOI] 10.2196/31758. [PMID] 35536613.
Conducting a representative national randomized control trial of tailored clinical decision support for nurses remotely: Methods and implications.
Contemporary clinical trials. 118 [DOI] 10.1016/j.cct.2022.106712. [PMID] 35235823.
Spiritual Interventions Delivered by Nurses to Address Patients’ Needs in Hospitals or Long-Term Care Facilities: A Systematic Review.
Journal of palliative medicine. [DOI] 10.1089/jpm.2021.0578. [PMID] 35085471.
Efficacy, Use, and Usability of the VIP-HANA App for Symptom Self-management in PLWH with HANA Conditions.
AIDS and behavior. 25(6):1699-1710 [DOI] 10.1007/s10461-020-03096-6. [PMID] 33386508.
Application of Social Network Analysis of COVID-19 Related Tweets Mentioning Cannabis and Opioids to Gain Insights for Drug Abuse Research.
Studies in health technology and informatics. 272:5-8 [DOI] 10.3233/SHTI200479. [PMID] 32604586.
Application of Topic Modeling to Tweets as the Foundation for Health Disparity Research for COVID-19.
Studies in health technology and informatics. 272:24-27 [DOI] 10.3233/SHTI200484. [PMID] 32604591.
Applying Artificial Intelligence to Predict Self-Reported Poor Health Among Black and Hispanic Caregivers with Mild Cognitive Impairment.
Studies in health technology and informatics. 272:433-436 [DOI] 10.3233/SHTI200588. [PMID] 32604695.
Factors Related to Biological Sex Differences in Engagement with Healthcare Providers in Persons Living with HIV.
AIDS and behavior. 24(9):2656-2665 [DOI] 10.1007/s10461-020-02823-3. [PMID] 32140878.
Usability of a Consumer Health Informatics Tool Following Completion of a Clinical Trial: Focus Group Study
Journal of Medical Internet Research. 22(6) [DOI] 10.2196/17708. [PMID] 32538796.
A Multi-step Usability Evaluation of a Self-Management App to Support Medication Adherence in Persons Living with HIV
International Journal of Medical Informatics. 122:37-44 [DOI] 10.1016/j.ijmedinf.2018.11.012. [PMID] 30623782.
Examining Interventions Designed to Support Shared Decision Making and Subsequent Patient Outcomes in Palliative Care: A Systematic Review of the Literature
American Journal of Hospice and Palliative Medicine®. 36(1):76-88 [DOI] 10.1177/1049909118783688. [PMID] 29925244.
Eye-tracking retrospective think-aloud as a novel approach for a usability evaluation.
International journal of medical informatics. 129:366-373 [DOI] 10.1016/j.ijmedinf.2019.07.010. [PMID] 31445278.
Multi-Modal Methodology for Adapting Digital Health Tools to New Populations: Adaptation of the Video Information Provider (VIP) for Persons Living with HIV with HIV-Associated Non-AIDS (HANA) Conditions.
Studies in health technology and informatics. 264:1347-1351 [DOI] 10.3233/SHTI190446. [PMID] 31438145.
Use of the FITT framework to understand patients’ experiences using a real-time medication monitoring pill bottle linked to a mobile-based HIV self-management app: A qualitative study.
International journal of medical informatics. 131 [DOI] 10.1016/j.ijmedinf.2019.08.009. [PMID] 31561192.
A Mobile Health Intervention for HIV Prevention Among Racially and Ethnically Diverse Young Men: Usability Evaluation
JMIR mHealth and uHealth. 6(9) [DOI] 10.2196/11450. [PMID] 30194060.
A multi-level usability evaluation of mobile health applications: A case study
Journal of Biomedical Informatics. 86:79-89 [DOI] 10.1016/j.jbi.2018.08.012. [PMID] 30145317.
Health Information Technology Usability Evaluation Scale (Health-ITUES) for Usability Assessment of Mobile Health Technology: Validation Study
JMIR mHealth and uHealth. 6(1) [DOI] 10.2196/mhealth.8851. [PMID] 29305343.
Mobile Health Technology for Improving Symptom Management in Low Income Persons Living with HIV.
AIDS and behavior. 22(10):3373-3383 [DOI] 10.1007/s10461-017-2014-0. [PMID] 29299790.
Supervised Physical Activity and Improved Functional Capacity among Adults Living with HIV: A Systematic Review.
The Journal of the Association of Nurses in AIDS Care : JANAC. 29(5):667-680 [DOI] 10.1016/j.jana.2018.05.001. [PMID] 29861318.
Understanding the predisposing, enabling, and reinforcing factors influencing the use of a mobile-based HIV management app: A real-world usability evaluation.
International journal of medical informatics. 117:88-95 [DOI] 10.1016/j.ijmedinf.2018.06.007. [PMID] 30032969.
Usability Testing of a mHealth App to Support Self-Management of HIV-Associated Non-AIDS Related Symptoms.
Studies in health technology and informatics. 250:106-110 [PMID] 29857399.
A Health-Related Quality-of-Life Measure for Use in Patients with HIV: A Validation Study.
AIDS patient care and STDs. 31(2):43-48 [DOI] 10.1089/apc.2016.0252. [PMID] 28051875.
A Mobile Video Information Provider (VIP) for Dissemination of Evidence from Patient-Centered Outcomes Research for Improving Symptom Management
. 244
Nurse practitioner-physician co-management of primary care patients: The promise of a new delivery care model to improve quality of care
Health Care Management Review. 44(3):235-245
Predictors of willingness to use a smartphone for research in underserved persons living with HIV.
International journal of medical informatics. 99:53-59 [DOI] 10.1016/j.ijmedinf.2017.01.002. [PMID] 28118922.
Technology-Mediated Interventions and Quality of Life for Persons Living with HIV/AIDS. A Systematic Review.
Applied clinical informatics. 8(2):348-368 [DOI] 10.4338/ACI-2016-10-R-0175. [PMID] 28401246.


Postdoctoral training
2017-2019 · Columbia University School of Nursing
Ph.D. in Nursing
2017 · Columbia University School of Nursing

Contact Details

(352) 273-6347
Business Mailing:
PO Box 100197
Business Street: