Improving emergency department safety, efficiency and cost effectiveness through artificial intelligence (EmergAI)

We are conducting an extensive research programme to use AI and new digital methods to help emergency doctors make the right diagnosis in the emergency room.

Project description

The cost of emergency care is rising faster than other healthcare costs. Emergency doctors have to make life-changing decisions in a chaotic environment in a short time with limited evidence. This leads to important diagnoses being missed in the emergency department. Therefore, there is a desperate need and huge potential for clinical decision support systems for the emergency department. A useful and evidence-based decision support system for dangerous conditions in emergency care can both reduce unnecessary investigation of low-risk patients (reducing costs, false positives and patient harm) and ensure that dangerous diagnoses are not missed. This will lead to societal savings and lives saved. Capturing a whole new kind of patient-generated data and using it to predict disease is a major development for eHealth globally.

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