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Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Güneş Koru's research focuses on informatics and data quality within healthcare, with a particular emphasis on home healthcare services. Koru has investigated methods for categorizing metadata to facilitate computable biomedical knowledge and explored privacy models for anonymizing daily activity data. Their work also addresses the challenges and opportunities associated with continuous data quality improvement for healthcare administration data, as well as the adoption of information technology by caregivers in home care settings.
Further research interests include the development and evaluation of toolkits for collaborative data quality improvement in healthcare organizations and the assessment of public maternal health dashboards in the United States. Koru has received federal funding for the H3IT: Home Healthcare, Hospice, and Information Technology Conference. Collaborations include work with Jennifer A. Callaghan‐Koru and Tanvangi Tiwari at the University of Arkansas at Fayetteville, and William W. Greenfield and Paige Newman Chargois at the University of Arkansas for Medical Sciences, with multiple shared publications.
Metrics
- h-index: 12
- Publications: 58
- Citations: 446
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 <scp>well‐being</scp> through publishing computable biomedical knowledge (<scp>CBK</scp>) (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
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