Abstract
IntroductionThis paper presents a mixed-methods study protocol that will be used to evaluate a recent implementation of a real-time, centralised hospital command centre in the UK. The command centre represents a complex intervention within a complex adaptive system. It could support better operational decision-making and facilitate identification and mitigation of threats to patient safety. There is, however, limited research on the impact of such complex health information technology on patient safety, reliability and operational efficiency of healthcare delivery and this study aims to help address that gap.Methods and analysisWe will conduct a longitudinal mixed-method evaluation that will be informed by public-and-patient involvement and engagement. Interviews and ethnographic observations will inform iterations with quantitative analysis that will sensitise further qualitative work. Quantitative work will take an iterative approach to identify relevant outcome measures from both the literature and pragmatically from datasets of routinely collected electronic health records.Ethics and disseminationThis protocol has been approved by the University of Leeds Engineering and Physical Sciences Research Ethics Committee (#MEEC 20-016) and the National Health Service Health Research Authority (IRAS No.: 285933). Our results will be communicated through peer-reviewed publications in international journals and conferences. We will provide ongoing feedback as part of our engagement work with local trust stakeholders.
Highlights
This paper presents a mixed-methods study protocol that will be used to evaluate a recent implementation of a real-time, centralised hospital command centre in the UK
The Bradford artificial intelligence (AI) command centre aims to provide faster and safer care by reducing unnecessary waiting by anticipating and avoiding bottlenecks in care delivery before they cause problems. Such AI command centres have the potential to improve future patient flow and safety, and research to understand the health service delivery, safety and operational factors should be considered an area of major importance for hospitals
We will provide ongoing feedback as part of our engagement work with local trust stakeholders, including patient representatives. Ethics and dissemination This protocol has been approved by the University of Leeds Engineering and Physical Sciences Research Ethics Committee (#MEEC 20-0 16) and the National Health Service (NHS) Health Research Authority (IRAS No.: 285933)
Summary
Fragmented healthcare delivery adversely affects patient safety and care.[1 2]. Health information technology might help information flow across fragmented organisations[3 4] but investment and adoption has been limited, and is not a completely sufficient solution.[5]. The result is a complex sociotechnical organisation that challenges healthcare delivery.[6]. In the face of dynamic risks and organisational complexity, high-reliability organisations, like
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