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Technology


usefulness at the point of care. AI-enabled clinical decision support is


increasingly being introduced to address these gaps. Recent evidence shows that the technology is being increasingly embedded in clinical practice, with around 30% of clinicians already using AI tools to support tasks such as identifying drug interactions, and more than 50% believing they can save time and empower decision making.2 For nursing teams, the value of these


systems depends on whether they are designed specifically around nursing practice, providing clear, context-appropriate guidance that reflects real clinical responsibilities. When embedded within everyday workflows, these tools support more consistent application of clinical standards, helping to reduce variation that can arise from differing levels of experience or confidence. However, careful design and governance


are essential. Systems must draw on trusted, evidence-based nursing sources, provide transparent citations and integrate seamlessly into clinical environments. When implemented in this way, AI-enabled decision support can enhance accuracy, improve efficiency and allow nurses to focus more of their time on direct patient care, supporting high-quality, consistent practice across increasingly complex care settings.


Implications for health systems and a unified path forward As nurse-led models of care continue to expand, we believe health systems must take a more integrated approach to workforce development and clinical support, informed by nursing leadership and practice. Structured education, with flexible eLearning modules delivered within blended learning pathways, plays an important role in building confidence, reducing early career attrition and supporting long-term workforce resilience. At the same time, the rapid growth of AI in healthcare demands careful, clinically grounded decision making. Health systems should remain cautious of generic or unvalidated technologies, focusing instead on tools that are evidence aligned, transparent and designed around nursing workflows. Clinically validated AI-enabled decision support can act as a safety mechanism, helping to reduce variation in experience and supporting equitable, high-quality care across different settings. Crucially, these systems must support, not replace, professional judgement. Digital eLearning and AI-enabled clinical support together create a continuous learning eco-system that strengthens clinical mastery, while guiding consistent decision making at the point of care. Supported by preceptorship,


22 www.clinicalservicesjournal.com I June 2026 Tim Morris


Tim Morris is the Vice President of Go-to-Market at Elsevier, where he brings over 30 years of healthcare industry experience. He specialises in Knowledge Management, Clinical Decision Support and Hospital Workflow Solutions, with a focus on international markets. Tim began his professional career in healthcare as a Charge Nurse in London Emergency Departments, where he gained valuable experience in delivering patient care. He moved on to research and management roles within the NHS, then transitioned to direct sales and product development roles within a range of public and private health companies. For the past eight years, Tim has been working


at Elsevier, a global information analytics company that specialises in science, health, and technology content. In his role, he has been recognised for his contributions to the healthcare industry, regularly speaking at conferences and contributing to publications on topics such as new models of care, nursing practice and clinical decision support. He is passionate about driving innovation and improving patient outcomes through the use of cutting-edge technology and data-driven insights.


simulation and ongoing professional development, they create a continuous learning environment in which education and point-of- care guidance are aligned to trusted nursing standards. This integrated approach helps reduce cognitive burden, reinforces consistent practice and ensures nurses have access to the right information when it matters most. Taken together, these approaches position


health systems to scale nurse-led care in a way that is safe, sustainable and responsive to future innovation. By investing in evidence- based education, transparent AI governance, and tools that reflect real clinical practice, organisations can better support nurses in meeting the demands of modern patient care, while maintaining high standards of quality and consistency.


References 1. Butler M, Kirwan M, Mc Carthy VJ, Cole JA, Schultz TJ. Substitution of nurses for physicians in the hospital setting for patient, process of care, and economic outcomes.Cochrane Database Syst Rev. 2026;2(2):CD013616.


2. Elsevier. Clinician of the Future Report 2025. Published: 2025. Last accessed: Mar 2026. Available at: https://elsevier.io/cotf2025- report.


CSJ


Greta Westwood


Greta Westwood joined the Florence Nightingale Foundation in 2017 as the Chief Operating Officer and has been the CEO since September 2019. Greta has been a Registered Nurse for 39 years. She is a Florence Nightingale Foundation Alumna (2012 Leadership Scholar). Greta qualified as a nurse in 1983 and a midwife in 1987. She completed an MSc in Health Psychology in 1996 and a PhD in Nursing in 2010. Greta was one of the first genetic counsellors for the Wessex Clinical Genetics Service from 1987-2007 and was part of the team who established the Association of Genetic Nurses and Counsellors (AGNC). She held a joint Clinical Academic post with the University of Southampton from 2000-2005. From 2008-2012, she established, and then led, the National Institute of Health Research (NIHR) Hampshire and the Isle of Wight Comprehensive Local Research Network (now NIHR Wessex CRN). Greta held a joint post (2012-2017) with


Portsmouth Hospitals NHS Trust (PHT) and the University of Southampton as Director of Clinical Academic Practice for the university and NIHR Collaboration for Leadership in Applied Health Research and Care (CLAHRC) Wessex. She led the university’s clinical academic training programme for nurses, midwives and allied health professionals and was promoted to Professor for this work. In December 2020, Greta was awarded a CBE in the New Year Honours List 2021 for services to Nursing and Midwifery.


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