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Songül Güngör

Biographic Data

ID7113142
NAMESongül Güngör
GIVEN NAMESSongül
FAMILY NAMEGüngör
SIGNATUREGUNGOR S
AFFILIATIONSFaculty of Health Sciences, Department of Surgical Nursing, Osmaniye Korkut Ata University Osmaniye, Merkez, Turkey
ORCID0000-0003-2814-5378
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Perceptions, Attitudes, and Expectations of Surgical Patients Toward Artificial Intelligence–Supported Nursing Care

    Open Access•Songül Güngör, Kezban Koraş Sözen et al.•ARTICLE•Journal of Transcultural Nursing•2026

    INTRODUCTION: Artificial intelligence (AI) is increasingly influencing nursing and surgical care. Although AI-supported systems may improve efficiency, they also raise ethical and humanistic concerns, highlighting the importance of patient perspectives. METHODS: An explanatory sequential mixed methods design was used. Quantitative data were collected from 312 postoperative surgical patients to assess knowledge and attitudes toward AI-supported ca…

  • Experiences of Surgical Nurses in Patient Care During Earthquake 2023 in Turkey

    Open Access•Songül Güngör, Kezban Koraş Sözen•ARTICLE•OMEGA - Journal of Death and Dying•2025

    This study aims to qualitative examine the patient care experiences and roles of surgical nurses affected by the major earthquake that occurred in Kahramanmaraş on February 6, 2023, in the city of Osmaniye. Using a qualitative descriptive design, face-to-face individual interviews were conducted with 12 surgical nurses. The interviews were recorded, transcribed verbatim, and thematically analyzed. The study complies with the Standards for Reporti…

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  • Experiences of Surgical Nurses in Patient Care During Earthquake 2023 in Turkey

    Open Access•Songül Güngör, Kezban Koraş Sözen•ARTICLE•OMEGA - Journal of Death and Dying•2025

    This study aims to qualitative examine the patient care experiences and roles of surgical nurses affected by the major earthquake that occurred in Kahramanmaraş on February 6, 2023, in the city of Osmaniye. Using a qualitative descriptive design, face-to-face individual interviews were conducted with 12 surgical nurses. The interviews were recorded, transcribed verbatim, and thematically analyzed. The study complies with the Standards for Reporti…

  • Perceptions, Attitudes, and Expectations of Surgical Patients Toward Artificial Intelligence–Supported Nursing Care

    Open Access•Songül Güngör, Kezban Koraş Sözen et al.•ARTICLE•Journal of Transcultural Nursing•2026

    INTRODUCTION: Artificial intelligence (AI) is increasingly influencing nursing and surgical care. Although AI-supported systems may improve efficiency, they also raise ethical and humanistic concerns, highlighting the importance of patient perspectives. METHODS: An explanatory sequential mixed methods design was used. Quantitative data were collected from 312 postoperative surgical patients to assess knowledge and attitudes toward AI-supported ca…

Qualitative research (2 works) · AI in Service Interactions (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Content analysis (1 works) · Disaster Management and Resilience (1 works) · Disaster Response and Management (1 works) · Emergency management (1 works) · Empathy (1 works) · Engineering (1 works) · Intervention (counseling (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae