Ahmed Abuhalimeh
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Also affiliated: Arkansas Children's Hospital (2021); Nahrain University (2012); Rogers (United States) (2021)
Faculty Researcher
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Ahmed Abuhalimeh's research focuses on the application of blockchain technology and artificial intelligence to improve data quality and management within healthcare systems. He has investigated the benefits, challenges, and functionalities of blockchain utilization in healthcare, specifically examining its role in addressing data quality issues in clinical research informatics tools and managed healthcare. His work also includes reviews of AI-enhanced electrocardiogram (ECG) applications for acute coronary syndrome triage.
Abuhalimeh is a Principal Investigator on a National Science Foundation (NSF) grant for developing a statewide Quantum Computing Working Group in Arkansas, receiving $96,313. He leads a research group and has collaborated with Daniel Berleant at the University of Arkansas at Little Rock on shared publications. His scholarship metrics include an h-index of 3, with 11 total publications and 365 citations.
Metrics
- h-index: 4
- Publications: 11
- Citations: 372
Selected Publications
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AI-enhanced ECG for acute coronary syndrome triage: A state-of-the-art review (2026)
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An Information Quality Framework for Managed Health Care (2024)
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Comprehensive review for healthcare data quality challenges in blockchain technology (2023)
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Improving Data Quality in Clinical Research Informatics Tools (2022)
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Subjective Information Quality in Data Integration (2013)
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Task-dependence of subjective believability in integration of scientific data (2012)
Federal Grants 1 $96,313 total
Collaboration Network
Top Collaborators
- Comprehensive review for healthcare data quality challenges in blockchain technology
- An Information Quality Framework for Managed Health Care
- An Information Quality Framework for Managed Health Care
- AI-enhanced ECG for acute coronary syndrome triage: A state-of-the-art review
- AI-enhanced ECG for acute coronary syndrome triage: A state-of-the-art review
- AI-enhanced ECG for acute coronary syndrome triage: A state-of-the-art review
- AI-enhanced ECG for acute coronary syndrome triage: A state-of-the-art review
- AI-enhanced ECG for acute coronary syndrome triage: A state-of-the-art review
- AI-enhanced ECG for acute coronary syndrome triage: A state-of-the-art review
- AI-enhanced ECG for acute coronary syndrome triage: A state-of-the-art review
- AI-enhanced ECG for acute coronary syndrome triage: A state-of-the-art review
- AI-enhanced ECG for acute coronary syndrome triage: A state-of-the-art review
- AI-enhanced ECG for acute coronary syndrome triage: A state-of-the-art review
- AI-enhanced ECG for acute coronary syndrome triage: A state-of-the-art review
- AI-enhanced ECG for acute coronary syndrome triage: A state-of-the-art review
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