Reception is an essential process for patients seeking medical care and a critical component influencing the healthcare experience. However, current communication systems rely mainly on human efforts, which are both labor and knowledge intensive. A promising alternative is to leverage the capabilities of large language models (LLMs) to assist the communication in medical center reception sites.
View Article and Find Full Text PDFAim: To quantitatively analyse factors related to gastrointestinal bleeding after percutaneous coronary intervention and provide evidence for the prevention of gastrointestinal bleeding.
Data Sources And Review Methods: Cochrane Library, Pubmed, Embase, and Ovid databases were searched from inception to 31 May 2018; case-control and cohort studies published in English were included. The methodological quality of each study was assessed by two independent reviewers using the Newcastle-Ottawa Scale.