Melody Ni studied Applied Mathematics in Tongji University in Shanghai. She then did her postgraduate degrees in Decision Sciences at the London School of Economics, before joining Imperial in 2007. She is currently a Senior Research Fellow at the Dept of Surgery & Cancer.
Melody has carried out a wide range of research in decision making, statistics, Bayesian networks, behavioural sciences and health technology assessments, with a focus on improving quality of clinical decision making, especially in terms of surgical quality, patient safety and health innovations.
Health technology assessments: Melody is a senior methodologist within the NIHR-London In Vitro Diagnostics Co-operative (formerly NIHR Diagnostic Evidence Cooperative), which comprises of a highly multi-disciplinary team working at the interface of research, clinical environments and emerging technologies. Melody leads the HTA research on developing methods of evidence generation to enable better technology translation for patients and clinical benefits.
Patient safety: To improve safety of feeding using blindly inserted nasogastric feeding tubes, Melody has used Bayesian networks to synthesise evidence and visualise the dynamics between test results and feeding safety. This has led to new testing method being developed and validated through a multi-centred diagnostic performance study. A neonatal clinical study is also being carried out.
Surgical quality: Melody worked within the National Training Programme in Laparoscopic Colorectal Cancer Surgeries (Lapco), which trained 144 consultant colorectal surgeons in England between 2009 and 2013. Our most recent research demonstrated an association between training performance and uptake of laparoscopic colorectal cancer surgeries as well as clinical outcomes. Lapco is considered best practice of training at the post-graduate (consultant) level and has been adopted internationally for implementing new surgical techniques and technologies.
et al., 2019, Quality metrics for the evaluation of Rapid Response Systems: Proceedings from the third international consensus conference on Rapid Response Systems, Resuscitation, Vol:141, ISSN:0300-9572, Pages:1-12
et al., 2019, Development of the Point-of-Care Key Evidence Tool (POCKET): a checklist for multi-dimensional evidence generation in point-of-care tests, Clinical Chemistry and Laboratory Medicine, Vol:57, ISSN:1434-6621, Pages:845-855
et al., 2017, Designing medical technology for resilience: Integrating health economics and human factors approaches, Expert Review of Medical Devices, Vol:15, ISSN:1743-4440, Pages:15-26
et al., 2017, Selecting pH cut-offs for the safe verification of nasogastric feeding tube placement: a decision analytical modelling approach., Bmj Open, Vol:7, ISSN:2044-6055
et al., 2017, The influence of procedural volume and proficiency gain on mortality from upper GI endoscopic mucosal resection, Gut, Vol:67, ISSN:1468-3288, Pages:79-85
et al., 2016, Use of Tumor Markers in Gastrointestinal Cancers: Surgeon Perceptions and Cost-Benefit Trade-Off Analysis, Annals of Surgical Oncology, Vol:24, ISSN:1068-9265, Pages:1165-1173
et al., 2016, The influence of procedural volume and proficiency gain on mortality from upper GI endoscopic mucosal resection, Gut, ISSN:0017-5749
et al., 2016, Surgeon Volume and Cancer Esophagectomy, Gastrectomy, and Pancreatectomy: A Population-based Study in England, Annals of Surgery, Vol:263, ISSN:1528-1140, Pages:727-732
et al., 2013, Is Competency Assessment at the Specialist Level Achievable? A Study for the National Training Programme in Laparoscopic Colorectal Surgery in England, Annals of Surgery, Vol:257, ISSN:0003-4932, Pages:476-482