Barriers and facilitators to the uptake of computerized clinical decision support systems in specialty hospitals: Protocol for a qualitative cross-sectional study

Lorenzo Moja, Elisa G. Liberati, Laura Galuppo, Mara Gorli, Marco Maraldi, Oriana Nanni, Giulio Rigon, Pietro Ruggieri, Francesca Ruggiero, Giuseppe Scaratti, Alberto Vaona, Koren H. Kwag

Research output: Contribution to journalArticle

Abstract

Background: 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. Methods: We will conduct a qualitative, cross-sectional study in three Italian specialty hospitals involving frontline physicians, nurses, information technology staff, and members of the hospital board of directors. We will use semi-structured interviews following the Grounded Theory framework, progressively recruiting participants until no new information is gained from the interviews. Discussion: CDSSs are likely to become an integral and diffuse part of clinical practice. Various factors must be considered when planning their introduction in healthcare settings. The findings of this study will guide the development of strategies to facilitate the successful integration of CDSSs into the regular clinical workflow. The evaluation of diverse health professionals across multiple hospital settings in different stages of CDSS uptake will better capture the complexity of roles and contextual factors affecting CDSS uptake.

Original languageEnglish
Article number105
JournalImplementation Science
Volume9
Issue number1
DOIs
Publication statusPublished - Aug 28 2014

Keywords

  • Computerized clinical decision support systems
  • Evidence-based medicine
  • Perceptions
  • Qualitative

ASJC Scopus subject areas

  • Health Policy
  • Medicine(all)
  • Public Health, Environmental and Occupational Health
  • Health Informatics

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