Tremaine B. Williams
Federal Grant PI
Assistant Professor
faculty
Biomedical Informatics, College of Medicine
7 h-index
33 pubs
137 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Tremaine B. Williams, Assistant Professor in Biomedical Informatics at the University of Arkansas for Medical Sciences, investigates methods for improving the accuracy and efficiency of data processing in clinical research. His work addresses the critical issue of error rates in medical record abstraction and various data processing techniques, as demonstrated by his systematic reviews and meta-analyses published in academic journals.
His research also extends to the impact of care delivery team composition on patient outcomes, particularly for African Americans with heart failure and multimorbidity. Williams is the Principal Investigator on a $406,897 grant from the NIH/National Institute of Nursing Research focused on equitable standards of care delivery in team-based risk stratification for this patient population. He also studies the coverage of health data standards like HL7 FHIR in public health registries and explores informatics capacity building within learning health systems.
Williams is actively involved in mentoring and diversity initiatives within research and health professions, as evidenced by his work on undergraduate research programs. His scholarship metrics include an h-index of 7, with 32 publications and 131 citations. Key collaborators include Alisha Crump and Taren Swindle from the University of Arkansas for Medical Sciences, with whom he has co-authored multiple publications.
Metrics
- h-index: 7
- Publications: 33
- Citations: 137
Selected Publications
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An instrument for measuring the influence of nursing care on the length of stay in heart failure hospitalizations of African Americans (2026)
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Social determinants of health and hospitalization risk in heart failure: A Retrospective analysis (2026)
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Interview Data (2026)
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Interview Data (2026)
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Registered nurse effect on long length of stay in the heart failure hospitalizations of African Americans (2025)
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Data-Related Processes and Challenges at Level I-IV Trauma Centers in Arkansas: Results of a Mixed-Methods Case Study. (2025)
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The association of workforce configurations with length of stay and charges in hospitalized patients with congestive heart failure (2024)
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Comparing Medical Record Abstraction (MRA) error rates in an observational study to pooled rates identified in the data quality literature (2024)
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Error rates of data processing methods in clinical research: A systematic review and meta-analysis of manuscripts identified through PubMed (2024)
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Summer undergraduate biomedical research program for underrepresented minority students in a rural, low-income state (2024)
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Measuring the Coverage of the HL7® FHIR® Standard in Supporting Data Acquisition for 3 Public Health Registries (2024)
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Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis of Manuscripts Identified Through PubMed (2023)
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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)
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Measuring the Coverage of the HL7® FHIR® Standard in Supporting Data Acquisition for 3 Public Health Registries (2023)
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Care delivery team composition effect on hospitalization risk in African Americans with congestive heart failure (2023)
Federal Grants 1 $406,897 total
NIH/National Institute of Nursing Research
Contact PI
Jan 2024 - Dec 2025
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
Collaboration Network
Top Collaborators
Maryam Y. Garza
The University of Texas Health Science Center at San Antonio (US)
18 shared publications
- Measuring and controlling medical record abstraction (MRA) error rates in an observational study
- Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis of Manuscripts Identified Through PubMed
- Error rates of data processing methods in clinical research: A systematic review and meta-analysis of manuscripts identified through PubMed
- Measuring the Coverage of the HL7® FHIR® Standard in Supporting Data Acquisition for 3 Public Health Registries
- Care delivery team composition effect on hospitalization risk in African Americans with congestive heart failure
Showing 5 of 18 shared publications
Kevin W. Sexton
Vanderbilt University
9 shared publications
In database
- Care delivery team composition effect on hospitalization risk in African Americans with congestive heart failure
- Cultivating informatics capacity for multimorbidity: A learning health systems use case
- Quantifying care delivery team influences on the hospitalization outcomes of patients with multimorbidity: Implications for clinical informatics
- The association of workforce configurations with length of stay and charges in hospitalized patients with congestive heart failure
- 212 Proof of Concept: An EHR-fueled Risk Surveillance Tool for Managing Care Delivery Equity in Hospitalized African Americans with Congestive Heart Failure
Showing 5 of 9 shared publications
Alisha Crump
University of Arkansas for Medical Sciences
9 shared publications
In database
- Care delivery team composition effect on hospitalization risk in African Americans with congestive heart failure
- The association of workforce configurations with length of stay and charges in hospitalized patients with congestive heart failure
- 212 Proof of Concept: An EHR-fueled Risk Surveillance Tool for Managing Care Delivery Equity in Hospitalized African Americans with Congestive Heart Failure
- 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
- Racial Disparities in Hospital Utilization Among Patients with Multimorbidity
Showing 5 of 9 shared publications
Meredith Zozus
The University of Texas Health Science Center at San Antonio (US)
7 shared publications
- Measuring and controlling medical record abstraction (MRA) error rates in an observational study
- Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis of Manuscripts Identified Through PubMed
- Error rates of data processing methods in clinical research: A systematic review and meta-analysis of manuscripts identified through PubMed
- Informing training needs for the revised certified clinical data manager (CCDMTM) exam: analysis of results from the previous exam
- Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis
Showing 5 of 7 shared publications
Taren Swindle
University of Arkansas for Medical Sciences (US)
7 shared publications
- Cultivating informatics capacity for multimorbidity: A learning health systems use case
- The association of workforce configurations with length of stay and charges in hospitalized patients with congestive heart failure
- 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
- Registered nurse effect on long length of stay in the heart failure hospitalizations of African Americans
- Sociotechnical Needs of Registered Nurses in the Heart Failure Hospitalizations of African American Patients: Cross-Sectional Study
Showing 5 of 7 shared publications
Taiquitha Robins
University of Arkansas for Medical Sciences
7 shared publications
In database
- Measuring the Coverage of the HL7® FHIR® Standard in Supporting Data Acquisition for 3 Public Health Registries
- Quantifying care delivery team influences on the hospitalization outcomes of patients with multimorbidity: Implications for clinical informatics
- The association of workforce configurations with length of stay and charges in hospitalized patients with congestive heart failure
- Measuring the Coverage of the HL7® FHIR® Standard in Supporting Data Acquisition for 3 Public Health Registries
- 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
Showing 5 of 7 shared publications
Emel Seker
7 shared publications
In database
- Measuring the Coverage of the HL7® FHIR® Standard in Supporting Data Acquisition for 3 Public Health Registries
- The association of workforce configurations with length of stay and charges in hospitalized patients with congestive heart failure
- Measuring the Coverage of the HL7® FHIR® Standard in Supporting Data Acquisition for 3 Public Health Registries
- 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
- Data-Related Processes and Challenges at Level I-IV Trauma Centers in Arkansas: Results of a Mixed-Methods Case Study.
Showing 5 of 7 shared publications
Songthip Ounpraseuth
University of Arkansas for Medical Sciences
6 shared publications
In database
- Measuring and controlling medical record abstraction (MRA) error rates in an observational study
- Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis of Manuscripts Identified Through PubMed
- Error rates of data processing methods in clinical research: A systematic review and meta-analysis of manuscripts identified through PubMed
- Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis
- Comparing Medical Record Abstraction (MRA) Error Rates in an Observational Study to Pooled Rates Identified in the Data Quality Literature
Showing 5 of 6 shared publications
Zhuopei Hu
University of Arkansas for Medical Sciences
6 shared publications
In database
- Measuring and controlling medical record abstraction (MRA) error rates in an observational study
- Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis of Manuscripts Identified Through PubMed
- Error rates of data processing methods in clinical research: A systematic review and meta-analysis of manuscripts identified through PubMed
- Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis
- Comparing Medical Record Abstraction (MRA) Error Rates in an Observational Study to Pooled Rates Identified in the Data Quality Literature
Showing 5 of 6 shared publications
Jessica Snowden
University of Arkansas for Medical Sciences
6 shared publications
In database
- Measuring and controlling medical record abstraction (MRA) error rates in an observational study
- Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis of Manuscripts Identified Through PubMed
- Error rates of data processing methods in clinical research: A systematic review and meta-analysis of manuscripts identified through PubMed
- Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis
- Comparing Medical Record Abstraction (MRA) Error Rates in an Observational Study to Pooled Rates Identified in the Data Quality Literature
Showing 5 of 6 shared publications
Anita C. Walden
University of Colorado Denver (US)
6 shared publications
- Measuring and controlling medical record abstraction (MRA) error rates in an observational study
- Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis of Manuscripts Identified Through PubMed
- Error rates of data processing methods in clinical research: A systematic review and meta-analysis of manuscripts identified through PubMed
- Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis
- Comparing Medical Record Abstraction (MRA) Error Rates in an Observational Study to Pooled Rates Identified in the Data Quality Literature
Showing 5 of 6 shared publications
Alan E. Simon
National Center for Health Statistics (US)
6 shared publications
- Measuring and controlling medical record abstraction (MRA) error rates in an observational study
- Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis of Manuscripts Identified Through PubMed
- Error rates of data processing methods in clinical research: A systematic review and meta-analysis of manuscripts identified through PubMed
- Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis
- Comparing Medical Record Abstraction (MRA) Error Rates in an Observational Study to Pooled Rates Identified in the Data Quality Literature
Showing 5 of 6 shared publications
Lori A. Devlin
University of Louisville (US)
6 shared publications
- Measuring and controlling medical record abstraction (MRA) error rates in an observational study
- Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis of Manuscripts Identified Through PubMed
- Error rates of data processing methods in clinical research: A systematic review and meta-analysis of manuscripts identified through PubMed
- Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis
- Comparing Medical Record Abstraction (MRA) Error Rates in an Observational Study to Pooled Rates Identified in the Data Quality Literature
Showing 5 of 6 shared publications
Leslie Young
University of Vermont (US)
6 shared publications
- Measuring and controlling medical record abstraction (MRA) error rates in an observational study
- Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis of Manuscripts Identified Through PubMed
- Error rates of data processing methods in clinical research: A systematic review and meta-analysis of manuscripts identified through PubMed
- Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis
- Comparing Medical Record Abstraction (MRA) Error Rates in an Observational Study to Pooled Rates Identified in the Data Quality Literature
Showing 5 of 6 shared publications
Latrina Y. Prince
University of Arkansas for Medical Sciences
4 shared publications
In database
- Outcomes of the UAMS summer undergraduate research program to increase diversity in research and health professions
- Performance measures of racially underrepresented Ph.D. students in biomedical sciences: The UAMS IMSD Program Outcomes
- Summer undergraduate biomedical research program for underrepresented minority students in a rural, low-income state
- Sociotechnical Needs of Registered Nurses in the Heart Failure Hospitalizations of African American Patients: Cross-Sectional Study
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