Objective Clinical Human Reliability Analysis (OCHRA) methodology will be applied to video visual data to assess number, type and severity of errors within the operation.
Age (years)
ASA grade I-V (internationally accepted anaesthetic risk score)
weight and height will be combined to report BMI in kg/m^2
neoadjuvant treatment (Type-chemotherapy/radiotherapy- Yes or No
Total operating time (minutes)
Operative blood loss (millilitres)
Conversion to open surgery (binary- Yes or No)
length of post-operative stay (days)
30-day readmission rate (Yes or No)
30 day readmission reason (aetiology)
histolopathological outcomes (pTNM cancer staging)
Postoperative complications using Clavien-Dindo classification (1-5 scale of severity and necessary corrective action)
30-day mortality (Yes or No)
All cause mortality (Yes or No)
Using AI and machine learning to identify surgical phases and errors based on kinematic and video data, or video data alone
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