Informatics and the Nurse Leader Role in Articulation of Data Needs

Saturday, 16 November 2013

Roxanne Beckham, MSN
Kathy M Riedford, RN PhD PMHNP-BC
College of Nursing and Health Professions, University of Southern Indiana, Evansville, IN

Learning Objective 1: The learner will be able to recognize the role of nurse leader in management of data.

Learning Objective 2: The learner will be able to identify steps necessary to successfully articulate data needs.

Informatics and the Nurse Leader Role in Articulation of Data Needs

Roxanne Beckham RN MSN DNP student and Kathy Riedford RN PhD PMHNP-BC

Purpose: The 2010 IOM Future of Nursing Report identified the need for nurses to analyze and synthesize information in order to make decisions that impact quality services. Nurses have not historically recognized their leadership role in determining data of value and articulating the need for new or revised data to those unfamiliar with the unique needs of nursing. The ability of nurse leaders to collaborate in an interdisciplinary manner to manage patient information is the core of designing quality patient-centered healthcare.

Methods: A graduate level nursing informatics course was developed based on 2011 AACN Essentials of Master’s Education in Nursing.  Sternberg’s balance theory of wisdom was introduced as a model for data decision making and need articulation planning. Roger’s diffusion of innovations theory served as the framework to describe the change process from nurse acceptance of the innovative data management role to diffusion of the acquired skills into the workplace.

Staggers’ nursing computer experience questionnaire was offered pre & post course to measure student perceived past and present computer knowledge and experience. Two free form questions were included to gather insight regarding the student’s perceived role in data sorting and articulation of data needs. The course included experiential learning of planning and articulating data needs with an interdisciplinary focus.

Results: Course questionnaires, pre and post course, will be analyzed. The lessons learned from experiential learning exercises will be summarized.

Conclusion: Conclusions will be summarized when data collection is complete and analyzed.