Identification and conceptualization of nurse super users

Area of Science:

• Health Informatics
• Nursing Informatics
• Human-Computer Interaction

Background:

• Clinical information systems (CIS) are integral to modern healthcare.
• Identifying key users, or "super users," is crucial for effective system implementation and optimization.
• The term "super user" lacks a clear definition in current literature, hindering targeted support and training.

Purpose of the Study:

• To identify and define the characteristics of super users within the nursing population using clinical information systems.
• To categorize the diverse viewpoints and attitudes of nurses towards CIS.
• To provide a framework for healthcare organizations to identify and leverage super users.

Main Methods:

• Q-methodology was employed to systematically analyze and categorize nurses' perspectives on CIS.
• Factor analysis was used to extract distinct viewpoints regarding system usage.
• Data analysis focused on identifying patterns related to super user perception and attitude.

Main Results:

• Four distinct factors representing different user viewpoints on CIS were identified.
• The study elucidated the perceptions and attitudes characteristic of super users.
• Key attributes and attitudes distinguishing super users were revealed.

Conclusions:

• This research provides a clearer definition and understanding of the "super user" role in clinical information systems.
• Healthcare organizations can utilize these findings to more effectively identify, train, and strategically deploy super users.
• Optimizing super user identification enhances clinical operations and maximizes the benefits of healthcare technology.