Predicting essential proxies for quality of surgical care

Project Details

Description

The research is investigating the use of AI and data analytics in hospitals in an attempt to identify patients at high risk of long stay, readmission and / or mortality following surgery.

To achieve that, the team are attempting to collaborate with other colorectal groups to pool data and then to produce a richer dataset of clinical and administrative data.

Once that is achieved then the group plan to perform statistical and data analysis to find the significant variables that might help in creating new prediction models.

Key findings

Explainable AI-derived early risk prediction models for length of stay, readmission and mortality will be created.
Short titlePredicting essential proxies
AcronymPEPQs
StatusActive
Effective start/end date1/09/2131/10/26

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