Kaohsiung Medical University / Prof. Chun-Wang Wei

 Pain Points Solved 

• Dosage adjustment of high-risk drugs (such as vancomycin) relies heavily on physicians’ experience, which may result in insufficient therapeutic effects or increased toxicity risks.

• Conventional Trough Level interpretation has limited accuracy and cannot promptly reflect individual patient variability.

• Physicians face heavy clinical workloads and lack decision-support tools that respect clinical autonomy while providing precise and personalized recommendations.

 Technology Introduction 

This method utilizes AI to verify high-risk drug dosages, respecting physicians’ decisions while providing personalized recommendations. Using vancomycin as an example, the technique increases treatment accuracy from 28.42% to 84.50% by incorporating a Trough Level partitioning approach and a clinical feedback mechanism. By reducing healthcare costs and shortening hospitalization duration, it facilitates precision medicine and enhances patient safety, making it suitable for various healthcare systems. Furthermore, regular calibration ensures ongoing optimization and promotes the broader adoption of precision medicine.

Figure1. Innovative Trough Level Method.

Figure 2. Drug Dosage Assessment system.

 Application Examples 

• Using vancomycin therapy as an example, the system integrates a Trough Level partitioning approach with a clinical feedback mechanism for dosage verification and recommendation.

• Treatment accuracy is improved from 28.42% to 84.50%, effectively reducing the incidence of adverse effects and drug toxicity.

• The approach helps shorten hospitalization duration and reduce overall healthcare costs, making it suitable for large healthcare systems to promote and implement precision medicine.

 Related Links 

None

 Patent Name and Number 

TW I853646

US 18/457,681

 Industry-Academia / Tech Transfer Partner 

None

 Honors and Awards  

None

 Technical Contact  

Mr. Hung, Assistant Manager

Kaohsiung Medical University 
Tel: +886 7-3121101 ext. 2360
Email: R121084@kmu.edu.tw