{"id":{"repo_id":"arizona-thes","oai_identifier":"oai:repository.arizona.edu:10150/195846"},"canonical_url":"https://search.dev.ndltd.org/etd/arizona-thes/oai:repository.arizona.edu:10150/195846","repository":{"repo_id":"arizona-thes","name":"University of Arizona","base_url":"https://repository.arizona.edu/oai/request"},"display":{"title":"Testing a Model to Predict Successful Clinical Information Systems","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.","abstract_html":"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. 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