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Updated: Oct 4, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
SEVE project (Surgical Expertise Validity Evaluation) risk adjusted quality by standard data
Daniel Casanova1, Vassilios Papalois2
1University of Cantabria, Santander, Spain.
The SEVE project developed an online tool to evaluate surgical complications. This benchmarking model aims to establish optimal surgical outcomes for improved practice.
Area of Science:
- Surgical quality improvement
- Medical informatics
Background:
- Surgical complication assessment is crucial for patient safety.
- Benchmarking provides a standard for evaluating surgical performance.
Purpose of the Study:
- To develop a model and online application for evaluating surgical complications.
- To establish optimal surgical outcomes as a benchmark for practice.
Main Methods:
- Collaborative project between the Spanish Association of Surgeons (AEC) and the European Union of Medical Specialists (UEMS).
- Development of an online application for data collection and analysis.
Main Results:
- A model for surgical complication evaluation is established.
- An online application is available for benchmarking surgical practice.
Conclusions:
- The SEVE project provides a valuable tool for surgical quality assessment.
- Benchmarking surgical outcomes can lead to improved patient care and practice standards.
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