Clin Asst Prof Mustafa H F Khanbhai

Dr Mustafa H F Khanbhai is a UK-trained General Surgeon and Fellow of the Royal College of Surgeons of England, currently serving as an Associate Consultant in Oncoplastic Breast Surgery at KK Women’s and Children’s Hospital, SingHealth. His clinical practice focuses on oncoplastic and minimally invasive breast surgery, integrating advanced imaging, digital innovation, and surgical precision to optimise patient outcomes. He also leads the Patient-Reported Outcome Measures (PROMs) work at KKH, driving the integration of patient-centred metrics into routine care.

What Drives His Work / Patient-Centred Goals
Dr. Khanbhai is driven by a commitment to improving both oncological and psychosocial outcomes for patients with breast disease. His work centres on delivering personalised, value-based care, ensuring that patients not only receive effective cancer treatment but also maintain quality of life, body image, and confidence. He is particularly passionate about leveraging PROMs, technology, and AI to enhance shared decision-making and patient experience.

Work on SingHealth Committees / National Platforms & Achievements
He actively contributes to innovation and digital transformation efforts within SingHealth, with a focus on clinical AI, PROMs implementation, and data-driven care. His work has supported care transformation initiatives and the development of scalable digital health solutions within the healthcare system.

Previous Appointments / Achievements
Dr Khanbhai completed his PhD in Health Informatics at Imperial College London, where his pioneering work in natural language processing (NLP) secured two national awards and close to £1 million in research funding. His innovation became the first NLP solution of its kind adopted across the English NHS, earning national recognition including the BMJ Award for Digital Innovation and the Patient Experience Network Award for Innovative Use of Technology.

He was also an NHS Clinical Entrepreneur Fellow and part of the inaugural cohort of NHS England’s Clinical Fellows in Artificial Intelligence. His international experience includes a fellowship in minimally invasive breast surgery in Taiwan and research at the Surgical AI Research Academy, University Health Network, Toronto, where he developed a 3D MRI-based reconstruction model using machine learning. He is also a Visiting Fellow at the Patient-Reported Outcomes, Value & Experience (PROVE) Center at Brigham Health, Boston.

Teaching Appointments
Dr. Khanbhai holds a Postgraduate Certificate in Medical Education and is actively involved in teaching and mentoring medical students and junior doctors, with a focus on surgical education, innovation, and the application of digital health in clinical practice.

Other Contributions (e.g. Volunteer Work)
He contributes to the broader medical community through his memberships with the Academy of Medicine, Singapore (Chapter of General Surgeons) and the Singapore Medical Association, supporting professional development and collaboration within the field.

• Doctor of Philosophy, Imperial College London 2022
• Fellow of the Royal College of Surgeons (FRCS) of England (General Surgery) 2021
• Postgraduate Certificate in Medical Education, Edge Hill University 2015
• Bachelor of Medicine and Surgery (MBChB), University of Leeds 2009
• Bachelor of Science (Hons),  University of Leeds 2007

• Associate Consultant, Department of Breast Surgery, KK Women’s and Children’s Hospital 2023 - Present
• Member, Singapore Medical Association
• Fellow, Academy of Medicine, Singapore
• Member, Association of Breast Surgeons, UK
• Member, European Society of Medical Oncology

• KKH Innovation and Development Fund (2026)
• KKH Innovate to Impact Winner (2025)
• Patient Experience Network Award for Innovative Use of Technology, Social and Digital Media (2023)
• Simpson Smith (2023)
• Healthcare Leadership Foundations (2022)
• BMJ Award for Digital Innovation (2019)
• Dean’s Internship Award (2018)
• Surgical Training Gold (2014)
• The Mayo Robson Prize (2009)
• Dora Ratcliffe (2008)
• Medical Insurance Agency Award (2008)
• The Willis Prize (2007)

• Artificial Intelligence-Enabled Automation and Cultural Adaptation of BREAST-Q Patient Reported Outcome Measures to Advance Value-Based Care in Singapore’s Healthcare System
• Integrated Breast Data Visualisation Model for Enhanced MDT collaboration and patient engagement
• Evaluating Patient Understanding of Standard Breast Radiology and Histopathology Reports Versus Simplified Reports Generated by the Tandem Application
• Art Therapy in Breast Cancer Care in Singapore

• Khanbhai M, Carenzo C, Aryasinghe S, Manton D, Mayer E. Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation. JMIR Med Inform 2025;13:e60900
• Khanbhai M, Patkar V, Ruta D, Kothari A, Kristeleit H, Kazmi M. Breast Cancer Decision Support: Expert Systems vs. Machine learning-have we thrown the baby out with the bathwater? Medical Research Archives, 2024, Vol 12 No 12.ISSN 2375-1924
• Khanbhai M, Symons J, Flott K, Harrison-White S, Spofforth J, Klaber R, Manton D, Darzi A, Mayer E. Enriching the value of patient experience feedback: interactive dashboard development using co-design and heuristic evaluation. JMIR Hum Factors. 2022 Feb 3;9(1):e27887
• Implant Breast Reconstruction Evaluation Study Steering Group and Breast Reconstruction Research Collaborative: Baker B, Sewart E, Harvey J et al. Implant-Based Reconstruction following Mastectomy in Patients Who Have Had a Previous Breast Augmentation: Lessons from the National Multicentre Implant Breast Reconstruction Evaluation Study. Plast Reconstr Surg. 2022 Feb 1:149(2):324-337
• Khanbhai M, Warren L, Symons J, Flott K, Harrison-White S, Manton D, Darzi A, Mayer E. Using natural language processing to understand, facilitate and maintain continuity in patient experience across transitions of care. Int J Med Inform. 2022 Jan;157:104642. 
• Khanbhai M, Flott K, Manton D, Harrison-White S, Klaber R, Darzi A, Mayer E. Identifying factors that promote and limit the effective use of real-time patient experience feedback: a mixed-methods study in secondary care. BMJ Open 2021 Dec 8;11(12):e047239
• Khanbhai M, Anyadi P, Symons J, Flott K, Darzi A, Mayer E. Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review. BMJ Health Care Inform. 2021 Mar;28(1):e100262
• Northwest Breast Research Collaborative: Boundouki G, Wilson R, Duxbury P, et al. Patient and public priorities for breast cancer research: a qualitative study in the UK. BMJ Open 2021; 11(1):e036072
• Khanbhai M, Solomon E, Symons J, Harrison-White S, Manton D, Flott K, Spofforth J, Gholoo F, Nyathi N, Klaber R, Darzi A, Mayer E. Driving Improvement using text-mining of patient narratives. Insight and Feedback, NHS England, 2019.
• Khanbhai M, Flott K, Darzi A, Mayer E. Evaluating digital maturity and patient acceptability of real-time patient experience feedback systems: a systematic review. JMIR 2019; 10.2196/jmir.9076
• Breast Reconstruction Research Collaborative: Potter S, Conroy EJ, Cutress RI et al. Short-term safety outcomes of mastectomy and immediate implant-based breast reconstruction with and without mesh (iBRA): a multicentre, prospective cohort study. Lancet Oncol. 2019 Feb;20(2):254-266.
• Khanbhai M, Borgen R, Dobrashian R. Ultrasound can accurately diagnose fibroadenomas in women less than 35 years. Radiol Imaging Technol 2017;3(2):1-4.
• Hansrani V, Khanbhai M, McCollum C. The Diagnosis and Management of Early Deep Vein Thrombosis. Adv Exp Med Biol. 2017;906:23-31.
• Hansrani V, Khanbhai M, McCollum C. The Prevention of Venous Thromboembolism in Surgical Patients. Adv Exp Med Biol. 2017;906:1-8.
• Khanbhai M, Hansrani V, Burke J, Ghosh J, McCollum C. The early management of DVT in the North West of England: A nation-wide problem? Thromb Res. 2015;136(1):76-86.
• Hansrani V, Khanbhai M, Bhandari S, McCollum CN.The role of compression in the management of soft tissue ankle injuries: a systematic review. Eur J Orthop Surg Traumatol. 2015;25(6):987-95.
• Khanbhai M, Dubb S, Patel K, Ahmed A, Richards T. The prevelance of iron deficiency anaemia in patients undergoing bariatric surgery. Obesity Research and Clinical Practice, 2015;9(1):45-9.
• Burke J, Morley R, Khanbhai M. Using portable negative pressure wound therapy devices in the home care setting. Smart Homecare Technology and TeleHealth, 2014;2014(2):129-135.
• Khanbhai M, Hodgson C, Mahmood K, Parker MC, Solkar M. Colo-vesical fistula: complete healing without surgical intervention. Int J Surg, 2014;5(8):448-50.
• Khanbhai M, Shah M, Cantanhede G, Iylas S, Richards T. The problem of anaemia in patient with colorectal cancer. ISRN Hematol, 2014;2014(12):547914.
• Khanbhai M, Yap KH, Mohamed S, Dunning J. Is cryoanalgesia effective for post-thoracotomy pain? Interact Cardiovasc Thorac Surg, 2014;18(2):202-9.
• Khanbhai M, Dunning J, Yap KH, Rammohan K. Dissection of the pulmonary ligament during upper lobectomy: is it necessary. Interact Cardiovasc Thorac Surg, 2013;17(2):403-6.
• Khanbhai M, Ashleigh R, Baguneid M, Ghosh J. Type B aortic dissection after standard endovascular repair of abdominal aortic aneurysm. BMJ Case Rep, May 9; 2013.
• Khanbhai M, Loukogeorgakis S, Wright JA, Hurel S, Richards T. Anaemia, inflammation, renal function, and the diabetic foot: What are the relationships? Diabetic Foot Journal, 2013;15(4):150-8.
• Khanbhai M, Nasir A, Mosca R, Hooper TL. An unusual cause of subaortic stenosis. Eur J Cardiothorac Surg, 2013;43(4):868-869.
• Contributed to: J. Cross, R. Raine, P. Harris and T. Richards, on behalf of the FEVAR Consensus Working Group of the British Society of Endovascular Therapy. Indications for fenestrated endovascular aneurysm repair. British Journal of Surgery, 2012;99:217-224.
• Khanbhai M, Fosah R, Oddy M, Richards T. Disposable negative pressure wound therapy device to facilitate early patient discharge following complex diabetic foot surgery. Journal of Wound Care, 2012;21(4):180-2.
• Ajjan RA, Standeven KF, Khanbhai M, Phoenix F, Gersh KC, Weisel JW, Kearney MT, Ariens RA, Grant PJ. Effects of aspirin on clot structure and fibrinolysis using a novel in vitro cellular system. Arterioscler Thromb Vasc Biol. 2009;29(5):712-7.