Biography and Research Information
OverviewAI-generated summary
Ahmen Baghal's research focuses on enhancing the utility of health data through privacy-preserving record linkage. Their work addresses the challenge of integrating disparate datasets from multiple institutions to build comprehensive data resources, such as the national COVID Cohort Collaborative (N3C). This approach aims to facilitate the development of learning health systems, which leverage data to improve patient care and outcomes.
Baghal's publication in 2024, "Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <scp>COVID</scp> cohort collaborative (<scp>N3C</scp>) experience," highlights their contribution to this field. Their scholarship metrics indicate an h-index of 1 with one publication and 18 citations. Baghal has collaborated with Fred Prior at the University of Arkansas for Medical Sciences on shared publications.
Metrics
- h-index: 1
- Publications: 1
- Citations: 20
Selected Publications
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Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <scp>COVID</scp> cohort collaborative (<scp>N3C</scp>) experience (2024)
Collaboration Network
Top Collaborators
Umberto Tachinardi
University of Cincinnati (US)
1 shared publication
- Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <scp>COVID</scp> cohort collaborative (<scp>N3C</scp>) experience
Shaun J. Grannis
Indiana University School of Medicine
1 shared publication
- Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <scp>COVID</scp> cohort collaborative (<scp>N3C</scp>) experience
Sam G. Michael
National Center for Advancing Translational Sciences (US)
1 shared publication
- Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <scp>COVID</scp> cohort collaborative (<scp>N3C</scp>) experience
Leonie Misquitta
National Center for Advancing Translational Sciences (US)
1 shared publication
- Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <scp>COVID</scp> cohort collaborative (<scp>N3C</scp>) experience
Jayme L. Dahlin
National Center for Advancing Translational Sciences (US)
1 shared publication
- Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <scp>COVID</scp> cohort collaborative (<scp>N3C</scp>) experience
Usman Ullah Sheikh
National Center for Advancing Translational Sciences (US)
1 shared publication
- Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <scp>COVID</scp> cohort collaborative (<scp>N3C</scp>) experience
Abel Kho
Northwestern University (US)
1 shared publication
- Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <scp>COVID</scp> cohort collaborative (<scp>N3C</scp>) experience
Jasmin Phua
San Francisco Department of Public Health (US)
1 shared publication
- Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <scp>COVID</scp> cohort collaborative (<scp>N3C</scp>) experience
Sara Rogovin
San Francisco Department of Public Health (US)
1 shared publication
- Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <scp>COVID</scp> cohort collaborative (<scp>N3C</scp>) experience
Benjamin Amor
Denver Federal Center (US)
1 shared publication
- Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <scp>COVID</scp> cohort collaborative (<scp>N3C</scp>) experience
Maya Choudhury
Denver Federal Center (US)
1 shared publication
- Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <scp>COVID</scp> cohort collaborative (<scp>N3C</scp>) experience
Philip Sparks
Denver Federal Center (US)
1 shared publication
- Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <scp>COVID</scp> cohort collaborative (<scp>N3C</scp>) experience
A.R. Mannaa
Denver Federal Center (US)
1 shared publication
- Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <scp>COVID</scp> cohort collaborative (<scp>N3C</scp>) experience
Saad Ljazouli
Denver Federal Center (US)
1 shared publication
- Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <scp>COVID</scp> cohort collaborative (<scp>N3C</scp>) experience
Joel Saltz
Stony Brook University (US)
1 shared publication
- Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national <scp>COVID</scp> cohort collaborative (<scp>N3C</scp>) experience