Ahmad Baghal Institution-verified

Sourced from institutional research profiles (UAMS TRI or ARA).

Assistant Professor

UAMS

Last publication 2024 Last refreshed 2026-05-09

faculty

7 h-index 19 pubs 250 cited

Research Areas

Links

ORCID Lab Website UAMS TRI Profile

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OverviewAI-generated summary

Ahmad Baghal's research interests include the application of informatics to healthcare delivery, with a focus on data quality, privacy, and the outcomes of patient care. He has investigated the influence of centralized and federated data approaches on data quality, particularly within the context of large-scale research collaborations like the National COVID Cohort Collaborative. His work also explores the relationship between metabolic factors, such as HDL cholesterol levels, and susceptibility to COVID-19 infection. Baghal has published on methods for participant identification pseudonymization in multi-study research and the implementation of data governance strategies for linking disparate datasets while preserving privacy. Additionally, his research examines the impact of care delivery teams on hospitalization outcomes for patients with multimorbidity and the cultivation of informatics capacity within learning health systems. His scholarship metrics include an h-index of 7 with 19 total publications and 245 citations.

Metrics

h-index: 7
Publications: 19
Citations: 250

Selected Publications

Linking <i>The Cancer Imaging Archive</i> and <scp>GenBank</scp> to the <scp>National Clinical Cohort Collaborative</scp> (2024)

DOI OpenAlex
Implementing Data Governance with Multi-Modal Privacy-Preserving Record Linkages between Restricted and Public Open Enclaves (2024)

1 citation DOI OpenAlex
In-Hospital Mortality by Race and Ethnicity Among Hospitalized COVID-19 Patients Using Data From the US National COVID Cohort Collaborative (2024)

DOI OpenAlex
In-Hospital Mortality by Race and Ethnicity Among Hospitalized Covid-19 Patients Using Data from the Us National Covid Cohort Collaborative (2023)

DOI OpenAlex
Quantifying care delivery team influences on the hospitalization outcomes of patients with multimorbidity: Implications for clinical informatics (2023)

4 citations DOI OpenAlex
Cultivating informatics capacity for multimorbidity: A learning health systems use case (2022)

4 citations DOI OpenAlex
HDL cholesterol levels and susceptibility to COVID-19 (2022)

35 citations DOI OpenAlex
Higher HDL Cholesterol Levels Decrease Susceptibility to COVID-19 Infection (2022)

2 citations DOI OpenAlex
Resting-state brain metabolic fingerprinting clusters (biomarkers) and predictive models for major depression in multiple myeloma patients (2021)

5 citations DOI OpenAlex
API Driven On-Demand Participant ID Pseudonymization in Heterogeneous Multi-Study Research (2021)

7 citations DOI OpenAlex