Reducing readmissions by 15% and shortening stays in ICUs with the AI empowered decision-making tool for intensive care

By combining medical expertise with machine learning and analysing vast amounts of data, Pacmed can predict the optimal moment for patients to be discharged from the ICU. One of the main challenges in determining discharge time is the sheer amount of data that needs to be analysed - a single patient in the ICU generates around 30,000 data points per day. To address this, we built an algorithm that predicts the probability of a patient being readmitted or dying within seven days of discharge, with accuracy in line with scientific research. This information is presented in a clear and intuitive dashboard so that doctors can make better-informed decisions.