Find out about the latest developments as part of the PIONEER programme. Learn more about the research projects granted access to the PIONEER dataset and keep up to date on the findings from this research.
Predictive models have been used in healthcare for many years to determine the risk of patients developing certain conditions and to aid decision-making. Developing AI
Community-acquired pneumonia is a serious condition with high death rates and significant healthcare costs, especially in older adults. This study aims to understand how neutrophils
This study looked at how well patients with COPD (a lung condition) followed recommended hospital care pathways when they were admitted due to flare-ups. The
Infections cause a lot of illness, death, and cost to healthcare systems. Identifying the exact cause of an infection can be tough, leading to the
Objective Recent years have seen a rapid rise in the development of artificial intelligence (AI) systems for use in healthcare, including those that qualify as
Objective This systematic review aimed to identify strategies (including scoring systems and selection criteria) currently used to identify medical admissions suitable for management within SDEC
Objective This study aims to determine the clinical use of mNGS in Community Acquired Pneumonia (CAP), Hospitalised Acquired Pneumonia (HAP), and Ventilator Associated Pneumonia (VAP),
Objective Analysis of routinely collected electronic health data is a key tool for long-term condition research and practice for hospitalised patients. This requires accurate and
Objective Community-acquired pneumonia (CAP) is a leading cause of hospitalisation in older adults and is associated with a high likelihood of adverse outcomes. Given the
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