AESOP: the AI-Enhanced Safety of Prescription
Dr. Yu-Chuan (Jack) Li explains a project that the researcher builds up patient data sets. The researcher analyzed about 700 million prescriptions. It’s all about 1.3 billion diagnosis and 2.5billion prescriptions.
With this data and AI machine learning, the researcher can find out healthcare aids to detect whether a prescription is inappropriate or not. In the final section, Dr. Yu-Chuan (Jack) Li explains AESOP: the AI-enhanced safety of prescription. AESOP is to help enhance diagnosis accuracy at any examination. In the future, we hope to analyze automatic suggestions for therapeutic options. This is for future development.
This will conclude Dr. Yu-Chuan (Jack) Li’s speech on AI to improve medication safety. Would you agree to implement this AESOP system in your nation’s hospitals in the future? What are the pros and cons of this method?
AI and Big Data in Global Health Improvement
AI and Big Data in Global Health Improvement
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