Working Group Webinar Library
Webinar Library
Recommended practices and ethical considerations for natural language processing-assisted observational research: A scoping review
An increasing number of studies have reported using natural language processing (NLP) to assist observational research by extracting clinical information from electronic health records (EHRs). Currently, no standardized reporting guidelines for NLP-assisted observational studies exist. The absence of detailed reporting guidelines may create ambiguity in the use of NLP-derived content, knowledge gaps in the current research reporting practices, and reproducibility challenges.
Rise of the AI Scribe - A Practical Discussion on Ambient Documentation Evaluation and Implementation
Advances in artificial intelligence over the last year are starting to become a reality in many medical practices. Medical documentation is certainly not immune to these changes and AI scribe software vendors promise to revolutionize the way we document and summarize patient encounters. This collaborative session will allow for discussion of the practical considerations and potential concerns related to the use of AI for note generation in patient encounters.
Federated Learning and Generalizability of Clinical Language Models
Language models (LMs) such as BERT and GPT have brought remarkable advancements to natural language processing (NLP). Nevertheless, privacy-sensitive domains, particularly in the medical field, confront challenges in training LMs due to limited data access and stringent privacy regulations like the Health Insurance Portability and Accountability Act (HIPPA) and the General Data Protection Regulation (GDPR).
Extracting Suicide Causes and Discovering Annotation Inconsistencies in Death Investigation Notes through NLP Approaches
Suicide presents a major public health challenge worldwide and affects people throughout their life. It demands mmediate attention and a comprehensive understanding of the underlying suicide causes. The National Violent Death Reporting System (NVDRS) is a population-based active surveillance system that collects information on violent deaths that occurred among both residents and non-residents in the United States.
Artificial Intelligence, Nonhuman Authors, and Large Language Models in Surgery
This Surgical and Procedural Informatics Discussion group will describe challenges and potential solutions to the use of non-human authors in peer-reviewed literature and will introduce emerging evidence that large language models have the potential to change surgical care.
