Search AMIA.org

This study describes the deployment process of an AI-driven clinical decision support (CDS) system to support postpartum depression (PPD) prevention, diagnosis and management. Central to this CDS is a predictive model trained on electronic health record (EHR) data at an academic medical center, and subsequently refined through a broader dataset from a consortium to ensure its generalizability and fairness.

Pancreatic cancer (PC) is ranked as the 11th most common cancer in the world with 458,918 new cases in 2018. It is projected to be the second leading cause of cancer-related mortality in the United States by 2030. Most of the mortality is attributed to advanced stage at diagnosis, and hence, only a minority of patients (15-20%) are eligible for surgical resection.

The Journal of the American Medical Informatics Association (JAMIA) will discuss trends in publishing NLP work in the journals past, present, and future, including insights from the forthcoming focus issue on Large Language Models.

Traditional systematic literature review (SLR) methodologies suffer from inefficiency due to their time-consuming and resource-intensive nature. Our goal is to improve this process by developing an efficient Intelligent Systematic Literature Reviews (ISLaR) system, using Generative Pre-Trained Transformer 4 (GPT-4), for real-time article screening and data extraction.

Who is in control of the content of the progress note? What is truly required for billing purposes and what are we holding onto for the sake of tradition/habit? How can you regain control of your note and remove the bloat that has built up over the years?