Taiquitha Robins

Graduate Assistant

University of Arkansas for Medical Sciences

unknown

2 h-index 9 pubs 12 cited

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Biography and Research Information

OverviewAI-generated summary

Taiquitha Robins' research focuses on the intersection of healthcare delivery, informatics, and patient outcomes, particularly concerning disparities and workforce influences. Her work has investigated the association between different care team configurations and patient outcomes such as length of stay and hospital charges, with a specific emphasis on patients with congestive heart failure and multimorbidity. Robins has also examined racial disparities in hospital utilization among patients with multimorbidity and the impact of registered nurses on hospitalization outcomes for African Americans with heart failure. Additionally, her research explores the application of health informatics standards, such as HL7® FHIR®, in data acquisition for public health registries. Robins has collaborated with researchers including Tremaine B. Williams, Emel Seker, Alisha Crump, and Kevin W. Sexton at the University of Arkansas for Medical Sciences.

Metrics

  • h-index: 2
  • Publications: 9
  • Citations: 12

Selected Publications

  • Registered nurse effect on long length of stay in the heart failure hospitalizations of African Americans (2025) DOI
  • The association of workforce configurations with length of stay and charges in hospitalized patients with congestive heart failure (2024) DOI
  • Measuring the Coverage of the HL7® FHIR® Standard in Supporting Data Acquisition for 3 Public Health Registries (2024) 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
  • Quantifying care delivery team influences on the hospitalization outcomes of patients with multimorbidity: Implications for clinical informatics (2023) DOI

Collaborators

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