Data-Related Processes and Challenges at Level I-IV Trauma Centers in Arkansas: Results of a Mixed-Methods Case Study.

Automation of data entry, improved training resources, and adequate staffing are critical areas of improvement for efficiently abstracting registry data. By streamlining manual inputs into the registry, registrars could minimize time spent consolidating and abstracting recurring data. Conclusion: These results illuminate existing data-related practices of sites participating in the ATR and the outcomes measures for process improvement efforts. These challenges are not unique to the trauma domain and are encountered by registries across a variety of therapeutic areas. Thus, attempts to develop integrated and interoperable solutions to streamline and improve data collection would benefit all registries.

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PubMed
Published
2025-01-01
Primary Topic
Nursing Diagnosis and Documentation
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article
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article

Data-Related Processes and Challenges at Level I-IV Trauma Centers in Arkansas: Results of a Mixed-Methods Case Study.

Cara L. Conner, Melody Greer, Maryam Y. Garza, Tremaine B. Williams et al.
PubMed
Nursing Diagnosis and Documentation
article

Data-Related Processes and Challenges at Level I-IV Trauma Centers in Arkansas: Results of a Mixed-Methods Case Study.

Cara L. Conner, Melody Greer, Maryam Y. Garza, Tremaine B. Williams, Emel Seker, Mersady C. Redding
article en

Abstract

Automation of data entry, improved training resources, and adequate staffing are critical areas of improvement for efficiently abstracting registry data. By streamlining manual inputs into the registry, registrars could minimize time spent consolidating and abstracting recurring data. Conclusion: These results illuminate existing data-related practices of sites participating in the ATR and the outcomes measures for process improvement efforts. These challenges are not unique to the trauma domain and are encountered by registries across a variety of therapeutic areas. Thus, attempts to develop integrated and interoperable solutions to streamline and improve data collection would benefit all registries.

PubMedVol. 52(1)
The University of Texas at San Antonio Health Science Center (US), The University of Texas at San Antonio (US), University of Arkansas for Medical Sciences (US)
Openalex Percentile: Top 75%
Nursing Diagnosis and Documentation
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