Importance: We introduce a novel Retrieval Augmented Generation (RAG)-Large Language Model (LLM) as a Clinical Decision Support System (CDSS) for safe medication prescription. This model addresses the limitations of traditional rule-based CDSS by providing relevant prescribing error alerts tailored to patient context and institutional guidelines. Objective: The study evaluates the efficacy of an LLM-based CDSS in identifying medication errors across various medical and surgical case vignettes, compared to a human expert panel. It also examines clinician preferences among different CDSS integration modalities: junior pharmacist, LLM-based CDSS alone, and a combination of both. Design, Setting, and Participants: Utilizing a RAG model with GPT-4.0, the study involved 61 prescribing error scenarios within 23 clinical vignettes across 12 specialties. An expert panel assessed these cases using the PCNE classification and NCC MERP index. Three junior pharmacists independently reviewed each vignette under simulated conditions. Main Outcomes and Measures: The study assesses the LLM-based CDSS's accuracy, precision, recall, and F1 scores in identifying Drug-Related Problems (DRPs), compared to junior pharmacists alone or in an assistive mode with the CDSS. Results: The co-pilot mode of RAG-LLM significantly improved DRP identification accuracy by 22% over solo pharmacists. It showed higher recall and F1 scores, indicating better detection of severe DRPs, despite a slight decrease in precision. Accuracy varied across categories when pharmacists had access to RAG-LLM responses. Conclusions: The RAG-LLM based CDSS enhances medication error identification accuracy when used with junior pharmacists, especially in detecting severe DRPs.

The customised solution comprises three modes – the PPE Buddy, Train and Practice, and Visitor, which have been validated by about 200 staff and hospital visitors. PPE Buddy guides staff in the proper wearing of PPE; the Train and Practice mode is for staff's refresher training; and the Visitor mode provides step-by-step audio guide-and-check to hospital visitors before entering an isolation ward.

SINGAPORE--(BUSINESS WIRE)--Oct 25, 2018--DXC Technology (NYSE: DXC), the world's leading independent, end-to-end IT services company, today announced the opening of the DXC Digital Innovation Lab in Singapore. Developed with the support of the Singapore Economic Development Board (EDB), the DXC Digital Innovation Lab Singapore is an advanced environment for the incubation of ideas, learning and innovative technology solutions developed by data scientists and enterprise solution experts. The lab will benefit DXC employees, clients and partners, as well as the technology and business communities of Singapore, the region and beyond. The DXC Digital Innovation Lab Singapore is an extension of DXC Labs, whose goal is to ensure that DXC masters the emerging technologies it needs in order to lead clients through accelerating digital transformation. At the innovation lab, digital specialists will explore novel technologies, develop prototypes and create reference architectures for rapid business deployment.