CORDIS Project
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This project aims to create a clinical decision support system for emergency medicine by utilizing sensor data, health records, and patient-reported information. It focuses on improving diagnosis accuracy and risk assessment through machine learning algorithms, ultimately enhancing the safety and cost-effectiveness of…
* Background:
Emergency care costs are increasing in developed societies, both in rates of emergency department (ED) visits per person and in costs per visit, and are growing faster than other areas of healthcare spending.
With limited and unstructured data, ED staff make quick decisions about probabilities for multiple diagnoses and risks.
Both underestimation and overestimation of these probabilities lead to increased costs and patient harm.
Hence, there is desperate need for clinical decision…
UPPSALA UNIVERSITET
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