Meredith Zozus
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View article: Concordance of Death Information of Two Health Systems Serving the Same Region and Social Security Administration Death Master File in the Southern United States (Preprint)
Concordance of Death Information of Two Health Systems Serving the Same Region and Social Security Administration Death Master File in the Southern United States (Preprint) Open
BACKGROUND There are multiple sources that document the date of a person’s death in the United States. Unfortunately, this seemingly simple information is either incomplete or costly to obtain. On the other hand, the information of such e…
View article: Evaluating the Impact of Electronic Health Record to Electronic Data Capture Technology on Workflow Efficiency: a Site Perspective
Evaluating the Impact of Electronic Health Record to Electronic Data Capture Technology on Workflow Efficiency: a Site Perspective Open
Introduction Clinical trial data is still predominantly manually entered by site staff into Electronic Data Capture (EDC) systems. This process of abstracting and manually transcribing patient data is time-consuming, inefficient and error …
View article: Measuring alignment between the ADRC UDS data elements, FDA, and EHR data standards
Measuring alignment between the ADRC UDS data elements, FDA, and EHR data standards Open
INTRODUCTION We compared and measured alignment between the Health Level Seven (HL7) Fast Healthcare Interoperability Resources (FHIR) standard used by electronic health records (EHRs), the Clinical Data Interchange Standards Consortium (C…
View article: Comparing the Accuracy of Traditional vs. Electronic Health Record Extracted Data in a Clinical Trial
Comparing the Accuracy of Traditional vs. Electronic Health Record Extracted Data in a Clinical Trial Open
As pressure to increase operational efficiency in clinical trials grows, organizations are looking to advances such as tools enabling extraction of Electronic Health Record (EHR) data and transmission to the study database or electronic Ca…
View article: Measuring Expressiveness of the Clincal Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model (SDTM) for the American Burn Association Burn Care Quality Program Registry Real-World Data (RWD)
Measuring Expressiveness of the Clincal Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model (SDTM) for the American Burn Association Burn Care Quality Program Registry Real-World Data (RWD) Open
The United States (US) 21st Century Cures Act of 2016 was developed to accelerate development of new therapeutics. The use of real-world data (RWD) in regulatory submissions for therapeutic development in the US is increasingly supported b…
View article: 562 Mapping and navigating translational resources with generative AI
562 Mapping and navigating translational resources with generative AI Open
Objectives/Goals: Translational researchers often struggle to navigate a complex constellation of institutional resources spanning the IRB to bioinformatics units. We had two aims 1) Systematically map all institution-wide research support…
View article: Comparing Medical Record Abstraction (MRA) error rates in an observational study to pooled rates identified in the data quality literature
Comparing Medical Record Abstraction (MRA) error rates in an observational study to pooled rates identified in the data quality literature Open
View article: Comparing the Accuracy of Traditional vs. FHIR®-Based Extraction of Electronic Health Record Data for Two Clinical Trials
Comparing the Accuracy of Traditional vs. FHIR®-Based Extraction of Electronic Health Record Data for Two Clinical Trials Open
While pilots and production use of software based on the Health Level Seven (HL7®) Fast Healthcare Interoperability Resources (FHIR®) standard are increasing in clinical research, we lack consistent evaluative data on important outcomes, s…
View article: Clinical Data Warehousing: A Scoping Review
Clinical Data Warehousing: A Scoping Review Open
INTRODUCTION: A clinical data warehouse (CDW) is a powerfulresource that supports clinical decision-making and secondary data use byintegrating and presenting heterogeneous data sources. Despite considerableeffort within healthcare organiz…
View article: Toward standardization, harmonization, and integration of social determinants of health data: A Texas Clinical and Translational Science Award institutions collaboration
Toward standardization, harmonization, and integration of social determinants of health data: A Texas Clinical and Translational Science Award institutions collaboration Open
Introduction: The focus on social determinants of health (SDOH) and their impact on health outcomes is evident in U.S. federal actions by Centers for Medicare & Medicaid Services and Office of National Coordinator for Health Information Te…
View article: Source Data Verification (SDV) quality in clinical research: A scoping review
Source Data Verification (SDV) quality in clinical research: A scoping review Open
Introduction: The value of Source Data Verification (SDV) has been a common theme in the applied Clinical Translational Science literature. Yet, few published assessments of SDV quality exist even though they are needed to design risk-base…
View article: Toward standardization, harmonization, and integration of social determinants of health data: A Texas Clinical and Translational Science Award institutions collaboration – CORRIGENDUM
Toward standardization, harmonization, and integration of social determinants of health data: A Texas Clinical and Translational Science Award institutions collaboration – CORRIGENDUM Open
[This corrects the article DOI: 10.1017/cts.2024.2.].
View article: 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 Open
Background: In clinical research, prevention of systematic and random errors of data collected is paramount to ensuring reproducibility of trial results and the safety and efficacy of the resulting interventions. Over the last 40 y…
View article: Comparing Medical Record Abstraction (MRA) Error Rates in an Observational Study to Pooled Rates Identified in the Data Quality Literature
Comparing Medical Record Abstraction (MRA) Error Rates in an Observational Study to Pooled Rates Identified in the Data Quality Literature Open
View article: Assessing clinical site readiness for electronic health record (EHR)-to-electronic data capture (EDC) automated data collection
Assessing clinical site readiness for electronic health record (EHR)-to-electronic data capture (EDC) automated data collection Open
View article: Informatics infrastructure in a rural pediatric clinical trials network: Matching specific clinical research needs with best practices and industry guidelines
Informatics infrastructure in a rural pediatric clinical trials network: Matching specific clinical research needs with best practices and industry guidelines Open
View article: Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis
Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis Open
Background: Over the last 30 years, empirical assessments of data accuracy in clinical research have been reported in the literature. Although there have been articles summarizing results reported in multiple papers, there has been little …
View article: Electronic health record data quality variability across a multistate clinical research network
Electronic health record data quality variability across a multistate clinical research network Open
Background: Electronic health record (EHR) data have many quality problems that may affect the outcome of research results and decision support systems. Many methods have been used to evaluate EHR data quality. However, there has yet to be…
View article: Collaborative Program to Evaluate Real World Data for Use in Clinical Studies and Regulatory Decision Making.
Collaborative Program to Evaluate Real World Data for Use in Clinical Studies and Regulatory Decision Making. Open
The 21st Century Cures Act allows the US Food and Drug Administration to consider real world data (RWD) for new indications or post approval study requirements. However, there is limited guidance as to the relative quality of di…
View article: Economic analysis of a single institutional review board data exchange standard in multisite clinical studies
Economic analysis of a single institutional review board data exchange standard in multisite clinical studies Open
View article: Measuring and controlling medical record abstraction (MRA) error rates in an observational study
Measuring and controlling medical record abstraction (MRA) error rates in an observational study Open
View article: 474 Innovative solutions to streamline data collection, exchange, and utilization in translational research
474 Innovative solutions to streamline data collection, exchange, and utilization in translational research Open
OBJECTIVES/GOALS: To determine the utility of any standard, one must first evaluate whether or not the standard meets the needs of the use case it is meant to support. We aim to quantify data availability of the HL7 FHIR standard to suppor…
View article: Measuring and Controlling Medical Record Abstraction (MRA) Error Rates in an Observational Study
Measuring and Controlling Medical Record Abstraction (MRA) Error Rates in an Observational Study Open
Background: Studies have shown that data collection by medical record abstraction (MRA) is a significant source of error in clinical studies. Yet, the quality of data collected using MRA is seldom assessed. We employed a novel, theory-base…
View article: Informing training needs for the revised certified clinical data manager (CCDMTM) exam: analysis of results from the previous exam
Informing training needs for the revised certified clinical data manager (CCDMTM) exam: analysis of results from the previous exam Open
Objective To inform training needs for the revised Certified Clinical Data Manager (CCDMTM) Exam. Introduction Clinical data managers hold the responsibility for processing the data on which research conclusions and regulatory decisions ar…
View article: Informatics Infrastructure in a Rural Pediatric Clinical Trials Network: Matching Specific Clinical Research Needs with Best Practices and Industry Guidelines
Informatics Infrastructure in a Rural Pediatric Clinical Trials Network: Matching Specific Clinical Research Needs with Best Practices and Industry Guidelines Open
View article: DeIDNER Model: A Neural Network Named Entity Recognition Model for Use in the De-identification of Clinical Notes
DeIDNER Model: A Neural Network Named Entity Recognition Model for Use in the De-identification of Clinical Notes Open
Clinical named entity recognition (NER) is an essential building block for many downstream natural language processing (NLP) applications such as information extraction and de-identification. Recently, deep learning (DL) methods that utili…
View article: Tailoring Rule-Based Data Quality Assessment to the Patient-Centered Outcomes Research Network (PCORnet) Common Data Model (CDM).
Tailoring Rule-Based Data Quality Assessment to the Patient-Centered Outcomes Research Network (PCORnet) Common Data Model (CDM). Open
Individual researchers and research networks have developed and applied different approaches to assess the data quality of electronic health record (EHR) data. A previously published rules-based method to evaluate the data quality of EHR d…
View article: TAX-Corpus: Taxonomy based Annotations for Colonoscopy Evaluation
TAX-Corpus: Taxonomy based Annotations for Colonoscopy Evaluation Open
Colonoscopy plays a critical role in screening of colorectal carcinomas (CC). Unfortunately, the data related to this procedure are stored in disparate documents, colonoscopy, pathology, and radiology reports respectively. The lack of inte…
View article: The h-ANN Model: Comprehensive Colonoscopy Concept Compilation using Combined Contextual Embeddings
The h-ANN Model: Comprehensive Colonoscopy Concept Compilation using Combined Contextual Embeddings Open
Colonoscopy is a screening and diagnostic procedure for detection of colorectal carcinomas with specific quality metrics that monitor and improve adenoma detection rates. These quality metrics are stored in disparate documents i.e., colono…
View article: Data Management Plan
Data Management Plan Open
Every clinical study should have prospective plans for how data will be collected, processed and stored. Likewise, every study should have defined data elements and objective evidence of how data were processed. This chapter outlines the p…