Date of Award

Spring 5-11-2024

Document Type

Thesis

Degree Name

Master of Science in Nursing Administration and Emergency Management

Department

Nursing

College

College of Education and Health

Committee Chair

Dr. Shelly Randall

Second Committee Member

Dr. Jennifer Helms

Third Committee Member

Dr. Melissa Darnell

Program Director

Dr. Jennifer Helms

Dean of Graduate College

Dr. Sarah Gordon

Abstract

“Unintended consequences are unexpected, and unwanted outcomes that can limit the value of EHR implementation and adversely affect quality of care and patient safety” (Lee & Kang, 2021, p. 898). Few organizations have redesigned the EHR to improve usability to mitigate potential patient safety concerns. This study aims to identify unintended consequences in patient care workflows and determine educational needs related to EHR usability. A mixed method approach was used to investigate unintended consequences in deidentified patient safety reports submitted Jan 1, 2020, through December 31, 2023. The data was analyzed to identify error types and educational deficits. The Acute Care campus accounted for the majority (89%), n = 57 of total Joint Patient Safety Reporting (JPSR) incidents with a minority (11%), n= 7 of total JPSR reports on the Long-Term Care campus. Human error was attributed to 100% of all reported JPSRs. The quantitative data revealed a significant increase in reports between 2021 and 2022, with most reports originating in the Nursing Acute and Nursing Critical Care service lines. These service lines care for complex patients, which may have led to more JPSRs and suggest a correlation between patient acuity and the frequency of reports. Additionally, it is important to consider that an increase in errors could have also contributed to the higher frequency of reports. This implies that additional staff is needed to support these areas to increase patient safety. An analysis of submissions and outcomes of Joint Patient Safety Reporting (JPSRs) over four years, 2020-2023, revealed three high-frequency error types: Manual Release, Misinformation, and Patient Movement. These findings highlight the importance of addressing human factors through education and training.

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