Jung In Park
Assistant Professor
Sue & Bill Gross School of Nursing
Sue & Bill Gross School of Nursing
Postdoctoral Scholar, Stanford University, Biomedical Informatics
Ph.D., University of Minnesota, Nursing Informatics
B.S., Seoul National University, Nursing
Ph.D., University of Minnesota, Nursing Informatics
B.S., Seoul National University, Nursing
Email: junginp@hs.uci.edu
University of California, Irvine
854 Health Sciences Rd
Mail Code: 3959
Irvine, CA 92697
854 Health Sciences Rd
Mail Code: 3959
Irvine, CA 92697
Research Interests
Health/Nursing Informatics, Artificial Intelligence (AI), Machine Learning, Predictive Modeling, Large Language Models
Websites
Research Abstract
Dr. Jung In Park's research area has focused on health informatics, where she utilizes large datasets and advanced machine learning approaches to provide scientific evidence for improving patient outcomes. She received her PhD in Nursing Informatics from the University of Minnesota, focusing on building machine learning models to predict catheter-associated urinary tract infections using electronic health records. After earning her doctorate, Dr. Park further expanded her expertise as a postdoctoral scholar at Stanford University, specializing in biomedical informatics and health data science. Through her research, Dr. Park aims to bridge the worlds of health care and data science, harnessing the vast potential of big data and AI to drive more informed and personalized decisions.
Publications
Selected Recent Publications (*=data-based)
1. * Park JI, Aqajari SA, Rahmani A, Lee JA. Predicting Sleep Quality in Family Caregivers of Dementia Patients from Diverse Populations Using Wearable Sensor Data. CIN: Computers, Informatics, 2025, 43(2).
2. Ju E, Guo Y, Park JI, Kim J, Qu A, Lee J-A. Sleep Quality of Persons with Dementia and Family Caregivers in Korean Americans: Wearable Technology to Study the Dyadic Association. Western Journal of Nursing Research. 2025;0(0).
3. * Jang Y, Park J, Park JI, Lee HW, Chung S, Lee S. Health risks associated with urinary incontinence among older Korean Americans living in subsidized senior housing. Ethnicity & Health. 2024;1-13.
4. Park JI. Editorial: Harnessing Artificial Intelligence to Promote Health Equity. Clinical Nursing Research. 2024 Aug 7.
5. * Park JI, Johnson S, Pruinelli, L. Optimizing Pain Management in Breast Cancer Care: Utilizing 'All of Us' Data and Deep Learning to Identify Patients at Elevated Risk for Chronic Pain. Journal of Nursing Scholarship. 2024 Jul 26.
6. * Park JI, Park JW, Zhang K, Kim D. Advancing Equity in Breast Cancer Care: Natural Language Processing for Analyzing Treatment Outcomes in Under-represented Populations. BMJ Health & Care Informatics. 2024 Jul 1;31(1):e100966.
7. * Ju E, Burton C, Kim J, Guo Y, Park JI, Qu A, Gibbs L, Lee J. Sleep Disturbances and Interrelationship Between Persons with Dementia and Family Caregivers: The Lived Experiences of Korean American Dyads. Geriatric Nursing. 2023, Nov 21;55:144-151.
8. Wieben A, Walden RL, Alreshidi BG, Brown SF, Cato K, Coviak CP, Cruz C, D’Agostino F, Douthit BJ, Forbes T, Gao G, Johnson S, Lee MA, Mullen-Fortino M, Park JI, Park S, Pruinelli L, Reger A, Role J, Schultz MA, Sileo M, Vyas P, Jeffery AD. Data Science Implementation Trends in Nursing Practice: A Review of the 2021 Literature. Applied Clinical Informatics. 2023, May 7.
9. * Park JI, Kim D, Park JW, Bozkurt S, Lee S. Evaluation of Race/Ethnicity-Specific Survival Machine Learning Models for Black and Hispanic Breast Cancer Patients. BMJ Health & Care Informatics. 2023, 30(1).
10. * Park JI, Lee GE, Lee S. A Data-Driven Approach to Find the Predictors of Perceived Health Status Among Chinese and Korean Americans. CIN: Computers, Informatics, Nursing. 2023, Jan 26:10-97.
11. Jung MS, Sun CJ, Park JI. Comparison of Graduate Nursing Programs in South Korea and the United States: DNP and PhD programs. Korean Journal of Biomedicine and Law. 2021, 26:65-93.
12. * Park JI, Kim D, Lee J, Zheng K, Amin A. Personalized Risk Prediction for 30-Day Readmissions with Venous Thromboembolism Using Machine Learning. Journal of Nursing Scholarship. 2021, 53(3):278-287.
13. * Chow DS, Glabis-Bloom J, Soun J, Weinberg B, Berens-Loveless T, Xie X, Mutasa S, Monuki E, Park JI, Bota D, Wu J, Thompson L, Boden-Albala B, Kahn S, Amin A, Chang, P. Development and External Validation of a Prognostic Tool for COVID-19 Critical Disease. PLoS ONE. 2020, 15(12): e0242953.
14. * Park JI, Bliss DZ, Chi C, Delaney CW, Westra BL. Knowledge Discovery with Machine Learning for Hospital-Acquired Catheter-Associated Urinary Tract Infections. CIN: Computers, Informatics, Nursing. 2020; 38(1):28-35.
1. * Park JI, Aqajari SA, Rahmani A, Lee JA. Predicting Sleep Quality in Family Caregivers of Dementia Patients from Diverse Populations Using Wearable Sensor Data. CIN: Computers, Informatics, 2025, 43(2).
2. Ju E, Guo Y, Park JI, Kim J, Qu A, Lee J-A. Sleep Quality of Persons with Dementia and Family Caregivers in Korean Americans: Wearable Technology to Study the Dyadic Association. Western Journal of Nursing Research. 2025;0(0).
3. * Jang Y, Park J, Park JI, Lee HW, Chung S, Lee S. Health risks associated with urinary incontinence among older Korean Americans living in subsidized senior housing. Ethnicity & Health. 2024;1-13.
4. Park JI. Editorial: Harnessing Artificial Intelligence to Promote Health Equity. Clinical Nursing Research. 2024 Aug 7.
5. * Park JI, Johnson S, Pruinelli, L. Optimizing Pain Management in Breast Cancer Care: Utilizing 'All of Us' Data and Deep Learning to Identify Patients at Elevated Risk for Chronic Pain. Journal of Nursing Scholarship. 2024 Jul 26.
6. * Park JI, Park JW, Zhang K, Kim D. Advancing Equity in Breast Cancer Care: Natural Language Processing for Analyzing Treatment Outcomes in Under-represented Populations. BMJ Health & Care Informatics. 2024 Jul 1;31(1):e100966.
7. * Ju E, Burton C, Kim J, Guo Y, Park JI, Qu A, Gibbs L, Lee J. Sleep Disturbances and Interrelationship Between Persons with Dementia and Family Caregivers: The Lived Experiences of Korean American Dyads. Geriatric Nursing. 2023, Nov 21;55:144-151.
8. Wieben A, Walden RL, Alreshidi BG, Brown SF, Cato K, Coviak CP, Cruz C, D’Agostino F, Douthit BJ, Forbes T, Gao G, Johnson S, Lee MA, Mullen-Fortino M, Park JI, Park S, Pruinelli L, Reger A, Role J, Schultz MA, Sileo M, Vyas P, Jeffery AD. Data Science Implementation Trends in Nursing Practice: A Review of the 2021 Literature. Applied Clinical Informatics. 2023, May 7.
9. * Park JI, Kim D, Park JW, Bozkurt S, Lee S. Evaluation of Race/Ethnicity-Specific Survival Machine Learning Models for Black and Hispanic Breast Cancer Patients. BMJ Health & Care Informatics. 2023, 30(1).
10. * Park JI, Lee GE, Lee S. A Data-Driven Approach to Find the Predictors of Perceived Health Status Among Chinese and Korean Americans. CIN: Computers, Informatics, Nursing. 2023, Jan 26:10-97.
11. Jung MS, Sun CJ, Park JI. Comparison of Graduate Nursing Programs in South Korea and the United States: DNP and PhD programs. Korean Journal of Biomedicine and Law. 2021, 26:65-93.
12. * Park JI, Kim D, Lee J, Zheng K, Amin A. Personalized Risk Prediction for 30-Day Readmissions with Venous Thromboembolism Using Machine Learning. Journal of Nursing Scholarship. 2021, 53(3):278-287.
13. * Chow DS, Glabis-Bloom J, Soun J, Weinberg B, Berens-Loveless T, Xie X, Mutasa S, Monuki E, Park JI, Bota D, Wu J, Thompson L, Boden-Albala B, Kahn S, Amin A, Chang, P. Development and External Validation of a Prognostic Tool for COVID-19 Critical Disease. PLoS ONE. 2020, 15(12): e0242953.
14. * Park JI, Bliss DZ, Chi C, Delaney CW, Westra BL. Knowledge Discovery with Machine Learning for Hospital-Acquired Catheter-Associated Urinary Tract Infections. CIN: Computers, Informatics, Nursing. 2020; 38(1):28-35.
Link to this profile
https://faculty.uci.edu/profile/?facultyId=6582
https://faculty.uci.edu/profile/?facultyId=6582
Last updated
03/18/2025
03/18/2025