The NHS North East London Evidence Repository (NELER) contains research and organisational information generated by people working and volunteering across the North East London Integrated Care System geography
Please see below for the full list of NELER organisations. To engage with us as we develop the repository - including submitting items for adding to the collection - contact us via email: nelrepository@gmail.com
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Recent Submissions
Item Barriers to Implementation of Prehabilitation.(2025-11-07)As the demographics of global and European countries change, the healthcare systems need to review existing pathways and service models. An ageing population is being offered more complex and invasive surgical procedures. Furthermore, there is an additional risk with this changing population profile, especially due to increasing frailty, sarcopenia, the incidence of cancer is high, and complex co-morbidities. An emerging challenge for the surgical population is the higher prevalence of obesity. These patients, with complex co-morbidities and needs, form the so-defined "high-risk" surgical patients-who account for 12.5% of surgical procedures but 80% of deaths. Prehabilitation is emerging as an important intervention to address the risk to functional capacity and quality of life. Trials have shown reductions of complications, length of stay and readmissions postoperatively. The best impact is arguably when prehabilitation is multimodal (exercise, nutrition, psychological, and lifestyle) and personalised. This article aims to explore the barriers to the availability of prehabilitation in the UK. The authors found the three most significant barriers were cost-effectiveness, workforce shortage and lack of national policy at the time of publication.Item Review and restructure of acute oncology workforce model to achieve acute oncology quality standards(2024-09-12)Poster presentation providing an overview of the review and restructure of an acute oncology workforce model at King’s College Hospital to achieve acute oncology quality standards. The review included setting up an appropriate governance for the nursing team to implement a structure to oversee the service and competency development in line with the Aspirant Cancer Career and Education Development (ACCEND) framework.Item A Standards-Based Audit of Elective Procedures in the Vascular Surgery Department(2025-07)This poster depicts the results of a Quality Improvement project which aimed to evaluate the Vascular Surgery department’s compliance with NHS & King's College Hospital (KCH) guidelines for rescheduling cancelled procedures within 28 days. A departmental clinical governance meeting was used as a platform to highlight the key issues within the department and to raise awareness of NHS and KCH guidelines resulting in significant increase in the number of cancelled procedures that were rescheduled within 4 weeks.Item Decreasing the DNA rate in gynaecology at the PRUH(2025-07)‘DNA’ (did not attend) rates were at 7.0% in gynaecology at the Princess Royal University Hospital. This poster details a quality improvement project which aimed to reduce DNA rates through enhancing patient engagement and improving clinician involvement. The interventions resulted in a 2.7% reduction in DNA rates over the course of the project.Item The emerging role of artificial intelligence in heart failure.(2025-07-03)Heart Failure is a prevalent disease with significant impacts on morbidity and mortality. Heart failure patients have a large volume of healthcare data which is digitized and can be collated. Artificial intelligence (AI) can then be used to assess the data for underlying patterns. AI systems can be trained to analyze readily available data, such as ECGs and heart sounds, and assess likelihood of heart failure. AI can also risk stratify heart failure patients by analyzing available healthcare data. AI can allow rapid assignment of heart failure patients to specific groups via automated echo analysis, but can also provide information regarding novel imaging bio-markers that may be more useful than left ventricular ejection fraction, such as first phase ejection fraction. AI can be used to assess patients' suitability for existing drugs, whilst also enabling development of novel drugs for known or newly discovered drug targets. Heart Failure as a field, with its multi-modal data set and variability in outcomes, will greatly benefit from the expansion and improvement of AI technology over the next 20 years.
Communities in NELER
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