School of Nursing


Doctor of Nursing Practice (DNP)


Tonia Kennedy


database, nursing data management




Departmental nursing leaders and their support staff manage large amounts of data in their daily work and have reported inefficiencies, manual labor, and dissatisfaction with previous electronic tools. Cognitive overload occurs when the amount of data exceeds the brain’s ability to process it and leads to negative consequences such as errors, burnout, anxiety, and poor productivity. Use of technology aligns with nurse leader competencies for business skills and principles along with utilizing evidence-based data for goal setting and decision-making. An online relational database (ORD) allows multiple users at one time, web-based access, ability to hold a large capacity of data sets, data integrity, automations, real time metrics and reporting, and customization. An ORD was implemented at a large, global, multi-site healthcare organization with nurse leaders and support staff leading and managing department level programs. A questionnaire was used to measure workflow efficiency, staff satisfaction, and cognitive overload on a five-point Likert scale pre and post implementation of an ORD. Combining the mean percent of the top two favorable Likert scale responses showed an increase in workflow efficiency from 48.03 percent to 79.75 percent, an increase in staff satisfaction from 25.01 percent to 72.61 percent, and an improvement in cognitive overload from 29.50 percent to 40.95 percent. The nursing data managed in this project was data that needs to be managed by most healthcare organizations. It was possible to successfully implement an ORD for nursing data management on a very large scale, showing it could be scalable anywhere.

Available for download on Friday, December 06, 2024

Included in

Nursing Commons