Multiverse Computing – Hospital Clinic: q-VIGILANCE
Multiverse Computing
Sector: Energy
Business Case
The q-Vigilance project addresses the need to improve the prediction of symptom severity in patients using a quantum machine learning algorithm to overcome the limitations of the NEWS 2 model. This approach aims to provide faster and more accurate responses at Hospital Clinic de Barcelona, transforming patient monitoring into a more advanced and efficient standard of predictive care.
Objectives
The main objectives are to implement and improve the NEWS 2 score by using a quantum machine learning algorithm that aims to outperform the classical model in effectiveness and efficiency. The goal is to provide an accurate tool for early prediction of symptom severity in patients, optimising the medical response at the Hospital Clinic de Barcelona and raising the standard of health monitoring through advanced technology.
Use case
The q-Vigilance project introduces a quantum machine learning algorithm to optimise the prediction of symptom severity in patients, overcoming the limitations of the conventional NEWS 2 score in efficacy and efficiency. The solution will be developed through a structured process that includes data preparation, algorithm design, and implementation on quantum hardware, with the aim of significantly improving health monitoring at the Hospital Clinic de Barcelona.
Infrastructure
Both local processing capabilities (On Premise) and scalable resources in the cloud.
Technology
Automatic or Deep Learning Quantum
Data
Private, clinical and biometric dataset from the patient records of the Hospital Clinic de Barcelona.
