Large Language Models for Efficient Medical Information Extraction.

Extracting valuable insights from unstructured clinical narrative reports is a challenging yet crucial task in the healthcare domain as it allows healthcare workers to treat patients more efficiently and improves the overall standard of care. We employ ChatGPT, a Large language model (LLM), and compare its performance to manual reviewers. The review focuses on four key conditions: family history of heart disease, depression, heavy smoking, and cancer.

Development and Implementation of Physical Education State-Level Accountability for Student Learning and Performance.

 The purpose of this study was to explore the development and implementation of state level accountability policy and systems.  The study was conducted using an explanatory multiple-case study design using the SWOT analysis (strengths, weaknesses, opportunities to improve, and threats). Ten leaders from three states participated in the study (State A  = 3; State B = 4; State C  = 3 [female = 1, 1, 2, respectively]).