Literature DB >> 17091792

Identification and conceptualization of nurse super users.

Daniel P Boffa1, Lawrence M Pawola.   

Abstract

The purpose of this study is to identify super users from the general nursing population of clinical information systems users. Q-methodology was employed to identify and categorize the viewpoints of the nurses toward the use of these systems. Four factors that represented different views regarding the use of clinical information systems were extracted. This study identifies super users'perception and attitude toward the use of clinical information systems in the workplace. The current literature reflects a weak semantic structure for the term. Thus, the study assists with defining the term "super user." Healthcare organizations can use this information to identify individuals who have the ability and attitude to function as a super user. These individuals can be more accurately and efficiently extracted from a general registered nurse population to give them more extensive training and to strategically position them within clinical operations.

Mesh:

Year:  2006        PMID: 17091792

Source DB:  PubMed          Journal:  J Healthc Inf Manag        ISSN: 1099-811X


  6 in total

1.  Implementing and evaluating a multicomponent inpatient diabetes management program: putting research into practice.

Authors:  Miguel Munoz; Peter Pronovost; Joanne Dintzis; Theresa Kemmerer; Nae-Yuh Wang; Yi-Ting Chang; Leigh Efird; Sean M Berenholtz; Sherita Hill Golden
Journal:  Jt Comm J Qual Patient Saf       Date:  2012-05

2.  Feasibility analysis of the value of Q method in the classification and understanding of expert experience.

Authors:  Meng-yu Liu; Yong Li; Ai-ping Lu; Xue-jie Han
Journal:  Chin J Integr Med       Date:  2012-12-03       Impact factor: 1.978

3.  A Psychological Investigation of Selection Criteria for Learning Agents (Super Users) and Allocation of Responsibilities in the Implementation of Technological Change.

Authors:  Jonas R Vaag; Gunhild B Sætren; Thomas H Halvorsen; Stine D Sørgård
Journal:  Front Psychol       Date:  2022-06-15

Review 4.  The Case for Diabetes Population Health Improvement: Evidence-Based Programming for Population Outcomes in Diabetes.

Authors:  Sherita Hill Golden; Nisa Maruthur; Nestoras Mathioudakis; Elias Spanakis; Daniel Rubin; Mihail Zilbermint; Felicia Hill-Briggs
Journal:  Curr Diab Rep       Date:  2017-07       Impact factor: 4.810

5.  A mixed methods study of how clinician 'super users' influence others during the implementation of electronic health records.

Authors:  Christina T Yuan; Elizabeth H Bradley; Ingrid M Nembhard
Journal:  BMC Med Inform Decis Mak       Date:  2015-04-10       Impact factor: 2.796

Review 6.  Nursing Home Implementation of Health Information Technology: Review of the Literature Finds Inadequate Investment in Preparation, Infrastructure, and Training.

Authors:  Michelle Ko; Laura Wagner; Joanne Spetz
Journal:  Inquiry       Date:  2018 Jan-Dec       Impact factor: 1.730

  6 in total

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