Dr Kush is a caring and attentive children's doctor and expert Consultant Paediatric Gastroenterologist at King's College Hospital (KCH), London.

He trained at world-renowned University College London (UCL) Medical School, obtaining an MBBS (medical degree) with an intercalated BSc in Medical Sciences and Psychology. He subsequently completed an MSc In Advanced Paediatrics at the UCL Institute of Child Health with distinction. He holds Membership of the Royal College of Paediatrics and Child Health (MRCPCH) and is a member of both the European and British Societies of Paediatric Gastroenterology, Hepatology and Nutrition (ESPGHAN and BSPGHAN). He currently sits as a Board Member of BSPGHAN Eosinophilic Oesophagitis (EoE) working group committee.

Dr Kush is highly involved in the training of doctors. He sat on the College Special Advisory Committee (CSAC) for Paediatric Gastroenterology, Hepatology and Nutrition (PGHAN) and held responsibility for UK PGHAN doctors' training and assessment. He is a trainer in Paediatric Endoscopy, and trains other doctors in endoscopy for children. He trains doctors on the only JAG accredited paediatric endoscopy course in London. He is the current Undergraduate Lead for Paediatric Gastroenterology teaching for King's College London (KCL) and Lead for Human Development. He has previously been an Honorary Clinical Lecturer at Imperial College London as well.

 

Dr Kush is involved in the cutting edge of treatment advances. He is principal investigator for several international studies, including both phase 2 and 3 trials. He is currently principal investigator for novel treatments in inflammatory bowel disease in children. He believes passionately about advancing the treatment options for children with chronic conditions. 

As Child Health medical lead for the EPIC digital healthcare system at King's College Hospital, Dr Kush is interested in transforming healthcare information systems to improve patient outcomes, satisfaction and optimise efficiency. He has a special interest in using artificial intelligence in real healthcare settings.