ECAI Conference 2024 Conference Paper
A Predictive Model for Risk Management of the Hospitalised Patient as a Clinical Decision Support System
- Isabel Benlloch-Blasco
- Vicente J. Botti
- Stella Heras
- M. Isabel Marmol
- Isabel Miguel
- Javier Palanca
- Antonio Ruiz
Assessing patient risk or degree of vulnerability is crucial for effective nursing care, resource allocation and prevention of complications and adverse events. A scale-based system evaluates hospitalised patients, capturing their status across domains by aggregating and weighting scale scores. Currently, in most hospitals, nurses manually interpret these scores and record the data. Even in high-tech hospitals with electronic health records (EHRs) the interpretation of results still depends on manual analysis, leading to subjectivity and errors. The aim of this project is to develop a predictive system that is seamlessly integrated into the EHR as a decision support tool. The system will categorise patients based on their need for resource allocation, which is interpreted as risk. Real data from 1800 patients were analysed and showed 86% of accuracy in predicting risk using a decision tree algorithm.