Research Areas
Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Güneş Koru's research focuses on improving healthcare quality and information technology adoption within healthcare settings. Koru has investigated methods for de-identifying health data to facilitate its use in research, examining datasets such as the Heritage Health Prize Claims Dataset and the Canadian national discharge abstract database. This work aims to enhance data quality to better support healthcare operations and decision-making.
Further research has explored the challenges and opportunities in home healthcare to facilitate the adoption of information technology, including an examination of home healthcare robot adoption using the UTAUT model. Koru also studies the application of technology in health promotion, as demonstrated by a Facebook-based obesity prevention program for Korean American adolescents. Koru has received funding from the NIH/National Institute on Aging for the H3IT: Home Healthcare, Hospice, and Information Technology Conference.
Metrics
- h-index: 12
- Publications: 58
- Citations: 446
Positions
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Professor 2022–presentUniversity of Arkansas for Medical Sciences, Northwest Regional Campus Health Policy and Management and Biomedical Informatics ORCID
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ProfessorUniversity of Arkansas for Medical Sciences ORCID
Selected Publications
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Obstetric Emergency Preparedness in Arkansas Emergency Departments: Results From a Cross-Sectional Survey (2025)
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Investigating the coverage of the Arkansas All-Payer Claims Database for examining health disparities related to persistent poverty areas in colorectal cancer patients (2024)
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A comparative study of home healthcare quality in urban and rural home health agencies throughout the USA (2010–22) (2024)
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The challenges and opportunities of continuous data quality improvement for healthcare administration data (2024)
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Public Maternal Health Dashboards in the United States: Descriptive Assessment (2024)
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Identifying the process and agency characteristics associated with poor utilization outcomes in home healthcare (2024)
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Transforming health and well‐being through publishing computable biomedical knowledge ( CBK ) (2023)
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Findings From Severe Maternal Morbidity Surveillance and Review in Maryland (2022)
Federal Grants 1 $49,964 total
H3IT: Home Healthcare, Hospice, and Information Technology Conference
Collaboration Network
Top Collaborators
- The challenges and opportunities of continuous data quality improvement for healthcare administration data
- A comparative study of home healthcare quality in urban and rural home health agencies throughout the USA (2010–22)
- Identifying the process and agency characteristics associated with poor utilization outcomes in home healthcare
- The challenges and opportunities of continuous data quality improvement for healthcare administration data
- Public Maternal Health Dashboards in the United States: Descriptive Assessment
- Obstetric Emergency Preparedness in Arkansas Emergency Departments: Results From a Cross-Sectional Survey
- Public Maternal Health Dashboards in the United States: Descriptive Assessment
- Obstetric Emergency Preparedness in Arkansas Emergency Departments: Results From a Cross-Sectional Survey
- Findings From Severe Maternal Morbidity Surveillance and Review in Maryland
- Findings From Severe Maternal Morbidity Surveillance and Review in Maryland
- Findings From Severe Maternal Morbidity Surveillance and Review in Maryland
- Findings From Severe Maternal Morbidity Surveillance and Review in Maryland
- Findings From Severe Maternal Morbidity Surveillance and Review in Maryland
- Findings From Severe Maternal Morbidity Surveillance and Review in Maryland
- Findings From Severe Maternal Morbidity Surveillance and Review in Maryland
- Findings From Severe Maternal Morbidity Surveillance and Review in Maryland
- Findings From Severe Maternal Morbidity Surveillance and Review in Maryland
- Findings From Severe Maternal Morbidity Surveillance and Review in Maryland
- Findings From Severe Maternal Morbidity Surveillance and Review in Maryland
- Findings From Severe Maternal Morbidity Surveillance and Review in Maryland