Rate My Professor Erik Mayer

Erik Mayer is a Clinical Associate Professor in Digital Health in the Department of Surgery and Cancer, Faculty of Medicine at Imperial College London. He holds undergraduate degrees of MBBS (Hons) and BSc (Hons) from King's College London, a PhD in Health Services Research from Imperial College London, and qualifications including MRCS and FRCS (Urol). Following surgical training at St Mary's Hospital, London, and the North West London Specialist Training Rotation, he progressed from Lecturer in Surgery to his current position. Mayer serves as Programme Director for the MSc Health Policy and Module Lead for Measuring and Improving Performance in Healthcare. He is Director of the Imperial Clinical Analytics, Research and Evaluation (iCARE) Secure Data Environment and the Digital Collaboration Space at Paddington Life Sciences. Additionally, he is Transformation Chief Clinical Information Officer (Analytics and Informatics) at Imperial College Healthcare NHS Trust, Theme Lead for Digital Health in the NIHR Imperial Biomedical Research Centre, and involved in the NIHR North West London Patient Safety Research Collaborative. As a Consultant Urological Surgeon, he practices at Imperial College Healthcare NHS Trust and The Royal Marsden NHS Foundation Trust, specializing in robotic prostatectomy and retroperitoneal lymph node dissection for testis germ cell tumours.

Mayer's research focuses on health services research employing big data analytics and artificial intelligence to enhance quality, safety, and patient experience in healthcare, including the translation of evidence-based practices to real-world settings. His work spans digital health, clinical informatics, patient safety, and health policy, with contributions to minimally invasive surgery, robotic surgery, and patient pathway metrics in urology, particularly testicular, prostate, and kidney cancers. He is a Fellow of the British Computer Society. Key publications include 'Evaluating Digital Maturity and Patient Acceptability of Real Time Feedback Systems in Surgical Care: A Mixed Methods Study' (2019, JMIR), 'Use and impact of virtual primary care on quality and safety: mixed methods study' (2021), and involvement in the RECAP study for COVID-19 risk prediction. His Google Scholar profile shows over 9,100 citations. The iCARE team under his leadership received the Patient Experience Network National Awards 2023 for Innovative Use of Technology.