Gumhee Baek

ORCID: 0000-0003-1999-0158
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About
Contact & Profiles
Research Areas
  • COVID-19 and Mental Health
  • Healthcare professionals’ stress and burnout
  • Digital Mental Health Interventions
  • Mental Health via Writing
  • Long-Term Effects of COVID-19
  • Perfectionism, Procrastination, Anxiety Studies
  • Trauma and Emergency Care Studies
  • Resilience and Mental Health
  • Emergency and Acute Care Studies
  • Healthcare Education and Workforce Issues
  • Olfactory and Sensory Function Studies
  • Emotion and Mood Recognition
  • Social Media in Health Education
  • Health Literacy and Information Accessibility
  • Autopsy Techniques and Outcomes
  • Congenital Diaphragmatic Hernia Studies
  • Mental Health Research Topics
  • Public Relations and Crisis Communication
  • Fibromyalgia and Chronic Fatigue Syndrome Research
  • Mindfulness and Compassion Interventions
  • Mental Health Treatment and Access
  • Educational Systems and Policies
  • Healthcare Systems and Public Health
  • Job Satisfaction and Organizational Behavior
  • Diverse Approaches in Healthcare and Education Studies

Ewha Womans University
2021-2025

Ewha Womans University Medical Center
2023

Artificial intelligence chatbot research has focused on technical advances in natural language processing and validating the effectiveness of human-machine conversations specific settings. However, real-world chat data remain proprietary unexplored despite their growing popularity, new analyses uses effects mitigating negative moods are urgently needed.In this study, we investigated whether how artificial chatbots facilitate expression user emotions, specifically sadness depression. We also...

10.2196/51712 article EN cc-by Journal of Medical Internet Research 2023-09-29

ABSTRACT Background High‐stress environments, heavy workloads, and the emotional demands of patient care, which are common challenges faced by nurses, factors that can lead to burnout. Shift work make traditional burnout interventions costly difficult implement. Artificial intelligence (AI) could offer solutions less constrained time, resources, labor. Aim To investigate effectiveness an AI‐assisted intervention in reducing nurse Methods A single‐blind, three‐group, randomized controlled...

10.1111/wvn.70003 article EN cc-by-nc Worldviews on Evidence-Based Nursing 2025-02-01

Nurse burnout leads to an increase in turnover, which is a serious problem the health care system. Although there ample evidence of nurse burnout, interventions developed previous studies were general and did not consider specific dimensions individual characteristics.

10.2196/54029 article EN cc-by Journal of Medical Internet Research 2024-05-07

Abstract Aim To investigate the factors influencing three dimensions of burnout among clinical nurses in South Korea. Design Descriptive, correlational and cross‐sectional study. Methods We recruited 300 to participate an online survey conducted June 2021. Purposive sampling was used for survey. Multiple linear regression data analysis. Results The models explained 55.8%, 45.8% 34.3% variances emotional exhaustion, depersonalization personal accomplishment respectively. Emotional exhaustion...

10.1002/nop2.2013 article EN cc-by-nc Nursing Open 2023-09-26

Purpose: This study aimed to understand the symptom management experiences of patients with post-COVID-19 syndrome and identify patterns therein. Methods: Yin's multiple-case design was utilized. Purposive sampling used recruit participants who experienced symptoms. One-on-one interviews surveys were conducted six between October 22, 2021 November 28, 2021. Data analysis, which included content analysis for in-depth interview data survey data, followed process suggested by Yin. Results:...

10.7739/jkafn.2022.29.2.211 article EN Journal of Korean Academy of Fundamentals of Nursing 2022-05-31

10.11111/jkana.2023.29.4.341 article EN Journal of Korean Academy of Nursing Administration 2023-01-01

<sec> <title>BACKGROUND</title> Artificial intelligence chatbot research has focused on technical advances in natural language processing and validating the effectiveness of human-machine conversations specific settings. However, real-world chat data remain proprietary unexplored despite their growing popularity, new analyses uses effects mitigating negative moods are urgently needed. </sec> <title>OBJECTIVE</title> In this study, we investigated whether how artificial chatbots facilitate...

10.2196/preprints.51712 preprint EN 2023-08-09

<sec> <title>BACKGROUND</title> Nurse burnout leads to an increase in turnover, which is a serious problem the health care system. Although there ample evidence of nurse burnout, interventions developed previous studies were general and did not consider specific dimensions individual characteristics. </sec> <title>OBJECTIVE</title> The objectives this study develop optimize first tailored mobile intervention for recommends programs based on artificial intelligence (AI) algorithms, test its...

10.2196/preprints.54029 preprint EN 2023-11-02
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