Testing a Model to Predict Successful Clinical Information Systems

Even though most clinical information systems (CIS) today are technically sound, the number of successful implementations of these systems is low. For that reason, understanding the characteristics and challenges for organizations implementing CIS is now considered key to successful information technology deployment (Lorenzi & Riley, 1997). Although theory driven information systems models and CIS studies exist, an integrated model to predict a successful CIS has not been evaluated. The purpose of this research was to evaluate the ability of a theoretically-based integrated model of CIS success (CISSM) to predict a successful CIS from the clinicians' perspective. Data were collected and analyzed from 234 registered nurses in 4 hospitals who had used the Cerner PowerChart Admission Health Profile (AHP) longer than 3 months. Construct validity and internal consistency reliability of the 23-item online instrument were established. The results of stepwise multiple regression analyses provided tentative support for the CISSM model.

Name thesis:degree_name

PhD

Level thesis:degree_level

doctoral

Discipline thesis:degree_discipline

Nursing

Grantor dc:publisher

The University of Arizona.

Year dc:date.issued

2007

Author dc:creator

• Garcia-Smith, Dianna

Committee members dc:contributor.committeemember

• Effken, Judith A.
• Brewer, Barbara
• Verran, Joyce A.
• Vincent, Deborah A.

• Clinical information systems
• Nursing systems
• Clinical informatics
• Information system acceptance

Statement dc:rights

• Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.

Language dc:language.iso

EN

Handle dc:identifier.uri

http://hdl.handle.net/10150/195846

OAI identifier oai:identifier

oai:repository.arizona.edu:10150/195846