Our team consist of physicians, pharmacists, computer scientists, data scientists and marketing specialists.
Goals and Plan
Based on this project, we are expected to upgrade our system (Protection＆prevention, Proactive Recommendations), develop reinforcement learning model, create hospitals report、start clinical trial in US medical institutions, and promote startup business. Then, it can build brand products, increase entry barriers to, expand the market, and potentially be the first AI medical unicorn from Taiwan.
MedGuard every year, with >60% user acceptance rate and >85% by expert review, based on reinforced learning for physician behavior resulted in 3% alert rate.The MedGuard is patent and FDA pended.
According to the WHO report, the cost associated with medication errors has been estimated at $42 billion USD annually.This product is mainly applicable to medium and large hospitals. The market is estimated to generate revenues of more than $4 billion USD per year.