Registered Nurses’ experiences, perceptions and understanding and understanding of Computerised Decision Support Systems in a NHS hospital ward setting. Dissertation MA Research Methods (Health).
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Purpose: To explore Registered Nurse’s experiences, understanding and perceptions of Computerised Decision Support Systems in the hospital ward setting. Primary Objectives: To explore how registered nurses use CDSS when decision making and the relationship between CDSS and clinical reasoning in clinical practice. Secondary Objectives: To understand how CDSS are introduced to Registered Nurses in a hospital ward setting. To explore barriers and facilitators to applying a CDSS to patient care in order to inform potential intervention(s). Research Protocol and Methods: This study has been designed as a pilot study. The findings of this study and the evaluation on the methods used for this study will inform a PhD Research Proposal for a larger study. A virtual, one to one, semi-structured interviews was used to explore the expectations, perceptions and experience of Registered Nurses using Computerised Decision Support Technologies. The findings were evaluated using thematic analysis. An inductive approach to data analysis was used (Braun and Clarke, 2006). This is anticipated to result in a rich understanding of the nurse’s experience of working with such technologies.
- Nursing informatics
- Nursing -- Technological innovations
- Nursing -- Decision making
- Decision support systems
- Nurses -- Attitudes
- Decision Making
- Nursing Informatics
- Decision Support Systems, Clinical
- Nurses perceptions; Computerised Decision Support Systems
- Subjects Allied to Medicine::Nursing
- Subjects Allied to Medicine::Medical technology
- R Medicine::RT Nursing
- W Medicine and related subjects (NLM Classification)::WY Nursing
- University of Nottingham, UK Campus::Faculty of Medicine and Health Sciences::School of Health Sciences
- Windle, Richard
- July 2021
Data collection methodVirtual semi-structured interview
Legal and ethical issuesAnonymisation of data. Specific nouns removed from data to support anonymisation.