Construction and System Practice of Intelligent Pharmaceutical Care System Driven by Data and Knowledge

OBJECTIVE To explore the establishment of a new pharmaceutical care model to help pharmacists work transformation. METHODS The overall framework of smart pharmaceutical care system was established, designed the knowledge service system based on autonomous learning, the intelligent decision-making system architecture based on patient characteristics was constructed, and the clinical pharmaceutical care platform path was developed and deployed, and verified in combination with the hospital practice. RESULTS It was the first time to establish an intelligent pharmaceutical care system driven by data and knowledge, which extended pharmaceutical services outside the hospital and could meet the needs of patients’ full-process and personalized pharmaceutical care. The reasonable rate of prescription increased steadily; the prescription dispensing time and patient waiting time were significantly shortened; the incidence of dispensing errors was significantly reduced; patient compliance and satisfaction were improved. CONCLUSION The construction of intelligent pharmaceutical system can significantly improve the work efficiency and management efficiency of pharmacists, promote the innovation of hospital pharmaceutical management mode, successfully assiste the professional transformation of pharmacists, and improve the rationality, effectiveness and economy of drug use, which has strong practical value and pioneering and leading role.