ADR reporting, pharmacist workstation, and training base

Clinical Pharmacist | AI-enabled Clinical Platform Builder
Affiliated Women's Hospital of Jiangnan University
Medical Education and Health Promotion Professional Committee, Jiangsu Pharmaceutical Association
Pharmaceutical Policy Professional Committee of Wuxi Pharmacists Association
I am a clinical pharmacist building AI-enabled clinical pharmacy platforms inside real hospital workflows.
My current work focuses on three connected systems: an intelligent adverse drug reaction reporting platform, a clinical pharmacist workstation, and a clinical pharmacist training base. Together, these projects translate large language models, rule engines, hospital data integration, pharmacokinetic calculation, and document automation into daily medication safety, pharmaceutical care, and education management.
I am especially interested in AI applications that are not just demonstrations, but usable clinical infrastructure: systems that capture safety signals, reduce documentation burden, standardize pharmacist work, and make clinical expertise easier to deploy, evaluate, and scale.
MSc Clinical Pharmacology, 2023
King's College London
Bachelor of Pharmacy, 2022
China Pharmaceutical University
Current work centered on medication safety surveillance, pharmacist workflow intelligence, and structured training management.
ADR reporting, pharmacist workstation, and training base
Rule-based signals combined with AI-assisted extraction and triage
Clinical pharmacist workflows organized into a single operating surface
Structured clinical pharmacist training, review, and export workflows
The site is organized into separate pages so each section stays focused.
The main portfolio page for ADR reporting, the clinical pharmacist workstation, and the clinical pharmacist training base.
Manuscripts and publications connected to ADR informatics, individualized medication safety, and clinical pharmacy training.
Education, hospital experience, professional service, intellectual property, and recognitions.