Laboratory Value

Laboratory value analysis focuses on improving the efficiency and accuracy of interpreting and utilizing laboratory test results in healthcare. Current research emphasizes leveraging machine learning, particularly tree-based models and large language models (LLMs), to predict lab values from other data sources (e.g., ECGs, EHRs), optimize test ordering, and automate result interpretation for both clinicians and patients. These advancements aim to reduce costs, improve diagnostic accuracy, and enhance patient care by enabling faster, more informed decision-making. Furthermore, research is exploring the use of robotics and AI for autonomous laboratory monitoring and quality control.