FEATURE ARTICLETesting a Bedside Personal Computer Clinical Care Classification System for Nursing Students Using Microsoft AccessFEEG, VERONICA D. PhD, RN, FAAN; SABA, VIRGINIA K. EdD, RN, FAAN, FACMI, LL; FEEG, ALAN N. BA, BSEEAuthor Information Author Affiliations: Division of Nursing, Molloy College, Rockville Centre, NY (Dr V. Feeg); and Georgetown University, School of Nursing, Washington, DC (Dr Saba). Alan N. Feeg is a self-employed software engineer and a consultant with VDF Consulting in Gainesville, FL. This software was developed for the study, which was partially supported by a grant from the Epsilon Zeta Chapter, Sigma Theta Tau, George Mason University. The software was designed by the authors with programming assistance provided by Seunghun Ok, a doctoral student at George Mason University. Corresponding author: Veronica D. Feeg, PhD, RN, FAAN, Division of Nursing, Molloy College, 1000 Rockville Centre, NY 11571 (firstname.lastname@example.org). CIN: Computers, Informatics, Nursing: November-December 2008 - Volume 26 - Issue 6 - p 339-349 doi: 10.1097/01.NCN.0000336465.17811.3c Buy Metrics Abstract This study tested a personal computer-based version of the Sabacare Clinical Care Classification System on students' performance of charting patient care plans. The application was designed as an inexpensive alternative to teach electronic charting for use on any laptop or personal computer with Windows and Microsoft Access. The data-based system was tested in a randomized trial with the control group using a type-in text-based-only system also mounted on a laptop at the bedside in the laboratory. Student care plans were more complete using the data-based system over the type-in text version. Students were more positive but not necessarily more efficient with the data-based system. The results demonstrate that the application is effective for improving student nursing care charting using the nursing process and capturing patient care information with a language that is standardized and ready for integration with other patient electronic health record data. It can be implemented on a bedside stand in the clinical laboratory or used to aggregate care planning over a student's clinical experience. © 2008 Lippincott Williams & Wilkins, Inc.