Tremaine B. Williams
Assistant Professor
University of Arkansas for Medical Sciences
faculty
Biomedical Informatics, College of Medicine
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Tremaine B. Williams is an Assistant Professor in Biomedical Informatics at the University of Arkansas for Medical Sciences. His research focuses on measuring and controlling errors in medical record abstraction and data processing within clinical research settings. Williams investigates the impact of care delivery team composition on health outcomes, particularly for African Americans with congestive heart failure and multimorbidity.
His work has been supported by federal grants, including a $406,897 award from the NIH/National Institute of Nursing Research for a study on equitable standards of care delivery in team-based risk stratification for African Americans with congestive heart failure. Williams has published extensively on data processing methods, error rates in clinical research, and the coverage of health data standards like HL7® FHIR®.
Williams actively collaborates with researchers at the University of Arkansas for Medical Sciences, including Alisha Crump, Taiquitha Robins, Emel Seker, and Kevin W. Sexton, with whom he has co-authored multiple publications. He maintains an active lab website to disseminate his research.
Metrics
- h-index: 7
- Publications: 32
- Citations: 129
Selected Publications
- Social determinants of health and hospitalization risk in heart failure: A Retrospective analysis (2026) DOI
- Interview Data (2026) DOI
- Interview Data (2026) DOI
- Registered nurse effect on long length of stay in the heart failure hospitalizations of African Americans (2025) DOI
- Data-Related Processes and Challenges at Level I-IV Trauma Centers in Arkansas: Results of a Mixed-Methods Case Study. (2025)
- The association of workforce configurations with length of stay and charges in hospitalized patients with congestive heart failure (2024) DOI
- Comparing Medical Record Abstraction (MRA) error rates in an observational study to pooled rates identified in the data quality literature (2024) DOI
- Error rates of data processing methods in clinical research: A systematic review and meta-analysis of manuscripts identified through PubMed (2024) DOI
- Summer undergraduate biomedical research program for underrepresented minority students in a rural, low-income state (2024) DOI
- Measuring the Coverage of the HL7® FHIR® Standard in Supporting Data Acquisition for 3 Public Health Registries (2024) DOI
- Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis of Manuscripts Identified Through PubMed (2023) DOI
- The Association of Implemented Care Team Configuration Models with Length of Stay and Charges in Hospitalized Patients with Congestive Heart Failure: A Retrospective Analysis of EHR Data (2023) DOI
- Measuring the Coverage of the HL7® FHIR® Standard in Supporting Data Acquisition for 3 Public Health Registries (2023) DOI
- Care delivery team composition effect on hospitalization risk in African Americans with congestive heart failure (2023) DOI
- Quantifying care delivery team influences on the hospitalization outcomes of patients with multimorbidity: Implications for clinical informatics (2023) DOI
Federal Grants 1 $406,897 total
Grants & Funding
- Quantifying Clinical Team Social Network Influences on Care of Medically Complex Patients Using an Electronic Medical Record (EMR) NIH/NCATS Principal Investigator
- Initiative for Maximizing Student Development(IMSD) NIH Co-Investigator
- Summer Undergraduate Research Program to Increase Diversity in Research NIH- Heart, Lung and Blood Institute Co-Investigator
- IMSD Resilience Supplement NIH NIGMS Co-Investigator
- UAMS Summer Undergraduate Research Program to Increase Diversity in Research NIH Co-Investigator
- Initiative for Maximizing Student Development(IMSD) NIH Principal Investigator
- Initiative for Maximizing Student Diversity NIH/NIGMS Co-Investigator
- Equitable Standards of Care Delivery in Team-based Risk Stratification of African Americans with Congestive Heart Failure NIH/NINR Principal Investigator
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