Hutan Ashrafian is a Clinical Lecturer in Surgery. His research objectives are to develop innovative and technological strategies to resolve the global healthcare burden of obesity, metabolic syndrome, obesity-related cardiorespiratory disease, musculoskeletal dysfunction and cancer.
His work encompasses clinical and mechanistic studies of metabolic bariatric surgery, complex biostatistical models, networks and evidence synthesis to guide policy decisions, computational physiology and systems medicine, novel health technology assessment and diagnostic accuracy of biomarkers, robotics and artificial intelligence agents in healthcare, ancient history analytics, academic impact & leadership metrics and regenerative strategies including sports-based and bio-inspired bionic therapies.
et al., A Systematic Review and Meta-Analysis of digital alerting and outcomes in patients with sepsis, Jmir Mhealth and Uhealth, ISSN:2291-5222
et al., 2019, From EHR to PHR: Let’s get the UK record straight, Bmj Open, Vol:9, ISSN:2044-6055, Pages:1-5
Navaratne L, Ashrafian H, Martinez-Isla A, 2019, Quantifying tension in tension-free hiatal hernia repair: a new intra-operative technique, Surgical Endoscopy and Other Interventional Techniques, Vol:33, ISSN:0930-2794, Pages:3040-3049
et al., Threats to safe transitions from hospital to home: Consensus study in primary care, British Journal of General Practice, ISSN:0960-1643
et al., 2019, Understanding health management and safety decisions using signal processing and machine learning, Bmc Medical Research Methodology, Vol:19, ISSN:1471-2288