Applied Surgical Data Science

What we do

The applied surgical data science group aims to propel the translation of surgical data science into routine clinical use by democratising access to multimodal surgical and clinical data, enabling intraoperative surgical data science and validating improvements in patient outcomes.

Why it is important?

The volume of data about patients, medical interventions, and clinical outcomes acquired by healthcare providers and clinical systems is growing exponentially. While increasingly advanced methods that use data to improve clinical practice are being created, few methods are translated into routine use, and the utilisation of the wealth of data acquired remains very low. This challenge is particularly seen in surgery. The currently unused surgical data contain an enormous wealth of latent information about the details, efficacy, and limitations of surgical practice.

How can it benefit patients?

By increasing clinician access to the information embedded in surgical data and advancing the application of surgical data science methods into routine clinical practice, this research can improve patient outcomes and increase healthcare provider efficiency. Applied surgical data science can accelerate patient recovery, reduce the rate of surgical complications, support effective surgeon decision-making, minimise surgical waste, and reduce procedure times.