Patients in the hospital, especially the elderly and those with multiple chronic diseases.

With the aging population and the rise of multiple chronic diseases, the role of pharmacists in clinical care has become increasingly vital. Traditional care relies on manual chart review and SOAP note documentation, which is time-consuming and leads to "time toxicity"—where professional value is lost to administrative burdens. This project implements the "MedAssist Hub" platform, integrating the international drug database Medi-Span with Generative AI (Gen AI) to intelligently transform clinical workflows. This innovative model automates drug information retrieval and interaction analysis, generating SOAP notes with a single click. This allows pharmacists to redirect their time and expertise back to patients, returning to the essence of healthcare. Through this model, SOAP documentation time is significantly reduced, service capacity has increased, and medication errors have effectively decreased, enhancing the quality and safety of medication use.

The "MedAssist Hub" platform integrates the global Medi-Span database with Gen AI to intelligently streamline clinical workflows.

• Daily inpatient pharmacist service capacity increased to 8.5 patients.

• Daily intensive pharmaceutical care services reached 10 cases/day.

• The completeness of SOAP improved from 75 points to 100 points.

• The writing time of SOAP decreased from 20 minutes to 5.6 minutes.

• Prescription error rate decreased from 0.07% to 0.05%.

• Drug interaction accuracy reached 100%.

• Time for basic drug data collection reduced by 100%.

• 100% satisfaction among pharmacists using the system.

• Enhanced professional fulfillment for pharmacists.

• Improved patient healthcare experience.

• Two conference posters have been accepted for publication.

• A pioneering study on the collaboration between Medi-Span and LLM.

Innovative care workflows reduce task time and boost efficiency, improve DRP detection and recommendation accuracy (quality), and strengthen evidence-based personalized medication decisions (precision), promoting patient-centered integrated care.