Date of Conferral

2023

Degree

Ph.D.

School

Health Services

Advisor

David M. Segal

Abstract

Inaccurate patient information resulting from duplicate record data entry errors can compromise patient safety. Emergency room (ER) visits in the United States have increased by 15% over the last decade, and the increase has prompted hospitals to implement fast-track admissions in the ER to mitigate overcrowding and expedite the admission process for patients with low-acuity symptoms. Although duplicate record data entry errors occur frequently in ER admissions, there is a lack of information about fast-track ER admissions and the predictors of different types of confirmed duplicate record data entry errors. This correlational quantitative study examined the associations between work shift (four staggered shifts over 24 hours between 5:00 a.m. and 5:00 a.m.), number of daily ER admissions, and number of duplicate record data entry errors (misspelling of first and last name and transposed social security number [SSN]) from 19 months of admissions at two acute care hospitals in an Alabama health care system using the human error theory as a foundation and retrospective secondary data from March 2019 to September 2020. Kruskal-Wallis H test, chi-square test of independence, and linear regression analyses were used. The results showed statistically significant associations between work shift, number of daily ER fast-track admissions, and number of duplicate record data entry errors (name and SSN). Implications for positive social change include informing ER leaders about predictors of duplicate record data entry errors which can improve the quality of fast-track patient admissions and patient safety.

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