Shih-Yin Lin

Faculty

Shih-Yin Lin headshot

Shih-Yin Lin

Senior Research Scientist/Project Director

1 212 992 7075

433 FIRST AVENUE
NEW YORK, NY 10010
United States

Shih-Yin Lin is senior research scientist/project director at NYU Rory Meyers College of Nursing. She is currently senior research scientist/project director for Aliviado at the Hartford Institute for Geriatric Nursing, where she provides scientific and operational leadership on the NIH-funded Hospice Advanced Dementia Symptom Management and Quality of Life (HAS-QOL) Trial. Her research interests include dementia-friendly communities, non-pharmacological interventions for dementia, and health information technology for older adults.

She received a PhD in nursing Science and MPH in health services from the University of Washington, an MM in music therapy from Michigan State University, and a BFA from National Taiwan Normal University. While pursuing her doctorate, Lin received additional research training through a T32 Aging and Informatics training program and a TL1 Multidisciplinary Pre-doctoral Clinical Research Training Program. She completed a T15 postdoctoral fellowship in Biomedical and Health Informatics at the University of Washington.

Postdoctoral Fellow, Biomedical and Health Informatics - University of Washington
PhD, Nursing Science - University of Washington
MPH, Health Services - University of Washington
MM, Music Therapy - Michigan State University
BFA - National Taiwan Normal University

Gerontology

American Medical Informatics Association
American Public Health Association
Gerontological Society of America

Healthy Aging PhD Research Scholarship/Myrene C. McAninch Doctoral Scholarship, de Tornyay Center for Healthy Aging (2017)
Healthy Aging PhD Research Scholarship/Myrene C. McAninch Doctoral Scholarship, de Tornyay Center for Healthy Aging (2016)
GSA-Presentation Scholarship, Healthy Brain Research Network Scholars Program & Alzheimer’s Association (2016)
Healthy Brain Research Network-de Tronyay Center Scholarship, CDC-Healthy Brain Research Network Coordinating Center & de Tornyay Center for Healthy Aging (2015)
Healthy Aging PhD Research Scholarship, de Tornyay Center for Healthy Aging (2015)
Healthy Aging PhD Research Scholarship, de Tornyay Center for Healthy Aging (2014)
UWRA-University House Scholarship in Aging, University of Washington Retirement Association (2014)
Joan Satterwhite Cartwright Scholarship in Music Therapy, Michigan State University School of Music (2007)
Wu Hong-Lin Outstanding Undergraduate Scholarship, Taoyuan City Government, Taiwan (2000)
Outstanding Undergraduate Scholarship, National Taiwan Normal University

CO-DESIGNING AN MHEALTH-BASED CAREGIVING MASTERY PROGRAM FOR DELIRIUM PREVENTION IN PERSONS LIVING WITH DEMENTIA

Choi, Y. K., Lin, S.-Y., Pruskowski, J. A., Fick, D. M., & Brody, A. A. (2024).
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DOMAINS OF PERSON-CENTERED CARE IN LONG-TERM CARE COMMUNITIES

Lin, S.-Y. (2024).
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Empowering Certified Nursing Assistants to Screen for Delirium: If Not Now, When?

Lin, S.-Y., Lin, S.-Y. Y., & Fick, D. M. (2024). (Vols. 50, Issues 5, pp. 3-5).
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Optimizing ChatGPT's Interpretation and Reporting of Delirium Assessment Outcomes: Exploratory Study

Lin, S.-Y., Choi, Y. K., Lin, S.-Y. Y., Fick, D. M. M., Shulman, R. W., Lee, S., Shrestha, P., & Santoso, K. (2024). (Vols. 8, p. e51383).
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Generative artificial intelligence (AI) and large language models, such as OpenAI's ChatGPT, have shown promising potential in supporting medical education and clinical decision-making, given their vast knowledge base and natural language processing capabilities. As a general purpose AI system, ChatGPT can complete a wide range of tasks, including differential diagnosis without additional training. However, the specific application of ChatGPT in learning and applying a series of specialized, context-specific tasks mimicking the workflow of a human assessor, such as administering a standardized assessment questionnaire, followed by inputting assessment results in a standardized form, and interpretating assessment results strictly following credible, published scoring criteria, have not been thoroughly studied.

American Delirium Society 2022 Year in Review: Highlighting the Year's Most Impactful Delirium Research

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Since 2015, the American Delirium Society (ADS) Research Committee has conducted an annual survey of the delirium literature for presentation in its year-in-review session. Our objectives were to describe the review process used for the 2021-2022 and to summarise the selected publications.

Examining Engagement and Usability in an Online Discussion Platform for Older Adults: Findings From Pilot Studies

Lin, S.-Y., Han, S., Teng, A. K., Lin, S.- Y., Demiris, G., Zaslavsky, O., & Chen, A. T. (2023). (Vols. 41, Issues 9, pp. 665-672).
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Social media may facilitate older adults' ability to engage socially and explore health information, but it can present difficulties for older adults. Therefore, it is important to explore older adults' experience of usability and user engagement. We conducted two rounds of pilot studies where we used Facebook to engage older adults. We performed a mixed-methods evaluation of user engagement and usability. A directed content analysis of qualitative data from the pilot studies was used to explore engagement and perceived usability, and the Mann-Whitney U test was used to examine differences in feature usage and engagement. We analyzed qualitative data from 13 participants. Qualitative data analysis yielded themes pertaining to three main domains: user engagement , usability , and usability related to aging-related changes . In terms of user engagement and usability, participants in both pilot studies reported positive feedback on felt involvement and endurability, and the second pilot group reported more positive comments regarding perceived usefulness compared with the first pilot group. There was no statistically significant difference in usage over the two studies. The findings of this study suggest opportunities to improve older adults' experience of online discussion platforms. Considering changes that improve perceived aesthetic appeal and focused attention will be helpful.

Neuropsychiatric symptoms in people living with dementia receiving home health services

Lin, S.-Y., Lassell, R. K. F., Lin, S.- Y., Convery, K., Fletcher, J., Chippendale, T., Jones, T., Durga, A., Galvin, J. E., Rupper, R. W., & Brody, A. A. A. (2023). (Vols. 71, Issues 12, pp. 3865-3873).
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We sought to describe neuropsychiatric symptoms (NPS) among people living with dementia (PLWD) from diverse racial and ethnic groups receiving home health services while accounting for dementia severity, individual symptom prevalence, and neighborhood disadvantage.

Potential sources of moral distress during COVID-19: Perspectives of hospice interdisciplinary teams

Lin, S.-Y., Jones, T., Lin, S.- Y., Durga, A., Luth, E. A., Lassell, R. K. F., & Brody, A. A. A. (2023). (Vols. 21, Issues 4, pp. 644-650).
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This study aimed to examine the impact of COVID-19 on hospice Interdisciplinary team (IDT) members' self-reported stress and identify possible sources of moral distress.

Resilience-enhancing interventions for family caregivers: A systematic review

Lin, S.-Y., Chi, N.- C., Han, S., Lin, S.- Y., Fu, Y.- K., Zhu, Z., Nakad, L., & Demiris, G. (2023). (p. 17423953231174928).
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To synthesize interventions designed to enhance resilience in family caregivers (FCs).

Using artificial intelligence to improve pain assessment and pain management: a scoping review

Lin, S.-Y., Zhang, M., Zhu, L., Lin, S.- Y., Herr, K., Chi, C.- L., Demir, I., Dunn Lopez, K., & Chi, N.- C. (2023). (Vols. 30, Issues 3, pp. 570-587).
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Over 20% of US adults report they experience pain on most days or every day. Uncontrolled pain has led to increased healthcare utilization, hospitalization, emergency visits, and financial burden. Recognizing, assessing, understanding, and treating pain using artificial intelligence (AI) approaches may improve patient outcomes and healthcare resource utilization. A comprehensive synthesis of the current use and outcomes of AI-based interventions focused on pain assessment and management will guide the development of future research.