Jiyoun Song
Biographic Data
| ID | 5537732 |
|---|---|
| NAME | Jiyoun Song |
| GIVEN NAMES | Jiyoun |
| FAMILY NAME | Song |
| SIGNATURE | SONG J |
| AFFILIATIONS | University of Pennsylvania School of Nursing, NewCourtland Center for Transitions and Health, Philadelphia, PA |
| ORCID | 0000-0003-0362-0670 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
How crucial is research philosophy in designing an AI study in medical education?
A Person-Centered Exploration of Mental and Cognitive Health Risk Profiles in Community-Dwelling Older Adults
IntroductionThis study extends prior work by identifying multidimensional profiles of co-occurring mental health and cognitive symptoms that better reflect the complexity of aging and identify high-risk subgroups with more severe symptom profiles.MethodsThis secondary analysis used Wave II data from the National Social Life, Health, and Aging Project (NSHAP). Latent profile analysis was conducted to identify distinct symptom profiles and examine …
The ChatGPT Effect
This article examines the potential of generative artificial intelligence (AI), such as ChatGPT (Chat Generative Pre-trained Transformer), in nursing education and the associated challenges and recommendations for their use. Generative AI offers potential benefits such as aiding students with assignments, providing realistic patient scenarios for practice, and enabling personalized, interactive learning experiences. However, integrating generativ…
Response to Letter to the Editor by Drs Goyal and Taylor
Characteristics and Readmission Risks Following Sepsis Discharges to Home
OBJECTIVE: To examine the characteristics and risk factors associated with 30-day readmissions, including the impact of home health care (HHC), among older sepsis survivors transitioning from hospital to home. RESEARCH DESIGN: Retrospective cohort study of the Medical Information Mart for Intensive Care (MIMIC)-IV data (2008-2019), using generalized estimating equations (GEE) models adjusting for patient sociodemographic and clinical characterist…
Individual, social, and environmental factors for infection risk among home healthcare patients
There has been limited research into the individual, social, and environmental factors for infection risk among patients in the home healthcare (HHC) setting, where the infection is a leading cause of hospitalisation. The aims of this study were to (1) explore nurse perceptions of individual, social, and environmental factors for infection risk among HHC patients; and (2) identify the frequency of environmental barriers to infection prevention an…
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Individual, social, and environmental factors for infection risk among home healthcare patients
There has been limited research into the individual, social, and environmental factors for infection risk among patients in the home healthcare (HHC) setting, where the infection is a leading cause of hospitalisation. The aims of this study were to (1) explore nurse perceptions of individual, social, and environmental factors for infection risk among HHC patients; and (2) identify the frequency of environmental barriers to infection prevention an…
Characteristics and Readmission Risks Following Sepsis Discharges to Home
OBJECTIVE: To examine the characteristics and risk factors associated with 30-day readmissions, including the impact of home health care (HHC), among older sepsis survivors transitioning from hospital to home. RESEARCH DESIGN: Retrospective cohort study of the Medical Information Mart for Intensive Care (MIMIC)-IV data (2008-2019), using generalized estimating equations (GEE) models adjusting for patient sociodemographic and clinical characterist…
The ChatGPT Effect
This article examines the potential of generative artificial intelligence (AI), such as ChatGPT (Chat Generative Pre-trained Transformer), in nursing education and the associated challenges and recommendations for their use. Generative AI offers potential benefits such as aiding students with assignments, providing realistic patient scenarios for practice, and enabling personalized, interactive learning experiences. However, integrating generativ…
Response to Letter to the Editor by Drs Goyal and Taylor
How crucial is research philosophy in designing an AI study in medical education?
A Person-Centered Exploration of Mental and Cognitive Health Risk Profiles in Community-Dwelling Older Adults
IntroductionThis study extends prior work by identifying multidimensional profiles of co-occurring mental health and cognitive symptoms that better reflect the complexity of aging and identify high-risk subgroups with more severe symptom profiles.MethodsThis secondary analysis used Wave II data from the National Social Life, Health, and Aging Project (NSHAP). Latent profile analysis was conducted to identify distinct symptom profiles and examine …
Medicine (3 works) · Computer Science (2 works) · Intensive care medicine (2 works) · Intensive Care Unit Cognitive Disorders (2 works) · Nursing (2 works) · Psychological intervention (2 works) · Psychology (2 works) · Sepsis Diagnosis and Treatment (2 works) · Alcohol consumption (1 work) · Artificial Intelligence (1 work)