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A Pilot Study of Augmented Intelligence Risk-Based Stratification for Endocrine Surgical Waiting List Prioritisation

This pilot study has identified many potential benefits to using a machine learning risk stratification evidence-based tool to assist prioritisation of NHS waiting lists. Clinicians will be able to create a personalised risk assessment based on the patient pre-operative physiological state, which will inform them when making decisions on behalf of their patients.

Currently, the prioritisation of patients is formulated using the FSSA and BAETS criteria, and this is based on a Delphi exercise of expert opinion [3,5]. [The C2-Ai Prioritisation System] adds additional insight to this decision-making process by providing a platform for more objective clinical decision-making using substantial physiological and epidemiological datasets.

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