Intelligent technology enhances the friendliness of the pharmacy care service : Identification in drug prescription In Taiwan, the patient gets their own medication, they must bring their own drug prescription and ask the pharmacist to adjust. The pharmacist has the duty to evaluate the repetitiveness of the drug, the interaction status and the record of communicating with the doctor, in order to assist the patient to have the optimization of the pharmacy service and the care resource integration. However, in the implementation, while the pharmacist performs health pharmacy care, it is not easy to record the drug prescription information of the patient, mainly because the pharmacy information content of the pharmacy care is very complicated. Therefore, the purpose of this study will be to use AI optical identification and AI learning techniques to identify the details of prescriptions and drug information and to establish an optical identification expert system and a pharmacy care database to allow pharmacists to perform pharmacy care services. Instantly record accurate patient medication information and give more accurate medication care. In research methods, this study cooperates with the Taiwan Pharmacists Association. This research implements system development and system import, Taiwan Pharmacists Association to implement drug prescription collection to provide artificial intelligence identification learning, as well as the verification and operational use of research and development results. The implementation of this plan has deepened the technology of artificial intelligence into the field of pharmacy care, using artificial intelligence identification technology, strengthening the pharmacistxe2x80x99s implementation of drug judgment, cooperation, and home care services, and establishing a national standardized medical integration database. The integration of Taiwanxe2x80x99s medical resources has the basis for crossservice cooperation.

Personalised drug prescription for dental clinics using word embedding The number of drugs in drug databases is constantly expanding with novel drugs appearing on the market each year. A dentist cannot be expected to recall all the drugs available, let alone potential drugdrug interactions (DDI). This can be problematic when dispensing drugs to patients especially those with multiple medical conditions who often take a multiple medications. Any new  :59,must be checked against the patientxe2x80x99s medical history, in order to avoid drug allergies and reduce the risk of adverse reactions. Current drug databases allowing the dentist to check for DDI are limited by the lack of integration of the patientxe2x80x99s medical profile with the drug to be prescribed. Hence, this paper introduces a software which predicts the possible DDI of a new medication  patientxe2x80x99s medical :124,profile, based on previous findings that associate similarity ratio with DDI. This system is based conceptually on a threetier framework consisting of a knowledge layer, prediction layer and presentation layer. The novel approach of this system in applying feature vectors for drug prescription will be demonstrated during the conference (http:r.glory.sgmain.php). By engaging with the interactive demonstration, participants will gain firsthand experience in the process from  to :192,implementation. Future work includes the extension of use from dental to medical institutions, and it is currently being enhanced to serve as a training tool for medical students.