Testing a Model to Predict Successful Clinical Information Systems

Persistent Link:
http://hdl.handle.net/10150/195846
Title:
Testing a Model to Predict Successful Clinical Information Systems
Author:
Garcia-Smith, Dianna
Issue Date:
2007
Publisher:
The University of Arizona.
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.
Abstract:
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.
Type:
text; Electronic Dissertation
Keywords:
Clinical information systems; Nursing systems; Clinical informatics; Information system acceptance
Degree Name:
PhD
Degree Level:
doctoral
Degree Program:
Nursing; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Effken, Judith A

Full metadata record

DC FieldValue Language
dc.language.isoENen_US
dc.titleTesting a Model to Predict Successful Clinical Information Systemsen_US
dc.creatorGarcia-Smith, Diannaen_US
dc.contributor.authorGarcia-Smith, Diannaen_US
dc.date.issued2007en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © 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.en_US
dc.description.abstractEven 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.en_US
dc.typetexten_US
dc.typeElectronic Dissertationen_US
dc.subjectClinical information systemsen_US
dc.subjectNursing systemsen_US
dc.subjectClinical informaticsen_US
dc.subjectInformation system acceptanceen_US
thesis.degree.namePhDen_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineNursingen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.chairEffken, Judith Aen_US
dc.contributor.committeememberEffken, Judith A.en_US
dc.contributor.committeememberBrewer, Barbaraen_US
dc.contributor.committeememberVerran, Joyce A.en_US
dc.contributor.committeememberVincent, Deborah A.en_US
dc.identifier.proquest2494en_US
dc.identifier.oclc659748407en_US
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