Title |
Barriers and facilitators to the uptake of computerized clinical decision support systems in specialty hospitals: protocol for a qualitative cross-sectional study
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Published in |
Implementation Science, August 2014
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DOI | 10.1186/s13012-014-0105-0 |
Pubmed ID | |
Authors |
Lorenzo Moja, Elisa Giulia Liberati, Laura Galuppo, Mara Gorli, Marco Maraldi, Oriana Nanni, Giulio Rigon, Pietro Ruggieri, Francesca Ruggiero, Giuseppe Scaratti, Alberto Vaona, Koren Hyogene Kwag |
Abstract |
Computerized clinical decision support systems (CDSSs) have been shown to improve the efficiency and quality of patient care by connecting healthcare professionals with high quality, evidence-based information at the point-of-care. The mere provision of CDSSs, however, does not guarantee their uptake. Rather, individual and institutional perceptions can foster or inhibit the integration of CDSSs into routine clinical workflow. Current studies exploring health professionals' perceptions of CDSSs focus primarily on technical and usability issues, overlooking the social or cultural variables as well as broader administrative or organizational roles that may influence CDSS adoption. Moreover, there is a lack of data on the evolution of perceived barriers or facilitators to CDSS uptake across different stages of implementation. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Saudi Arabia | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 1% |
United States | 1 | <1% |
Netherlands | 1 | <1% |
Unknown | 164 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 29 | 17% |
Researcher | 25 | 15% |
Student > Ph. D. Student | 23 | 14% |
Other | 12 | 7% |
Student > Doctoral Student | 10 | 6% |
Other | 24 | 14% |
Unknown | 45 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 38 | 23% |
Computer Science | 25 | 15% |
Nursing and Health Professions | 15 | 9% |
Business, Management and Accounting | 9 | 5% |
Social Sciences | 9 | 5% |
Other | 21 | 13% |
Unknown | 51 | 30% |