LLM-DOCS (Large Language Model Doctor Oriented Clinical Summaries) are AI-powered POEMs—Patient-Oriented Evidence that Matters. These concise clinical summaries are specifically designed for primary care physicians who need quick access to evidence-based medicine.
Each LLM-DOC provides a complete evidence review in approximately 250 words, including:
LLM-DOCS are generated using advanced language models trained on peer-reviewed medical literature. Our process combines:
We prioritize evidence that changes clinical practice—studies showing morbidity, mortality, or quality of life improvements, rather than surrogate endpoints like lab values or imaging findings.
Our methodology is detailed in our forthcoming research paper: "Large Language Model Doctor Oriented Clinical Summaries (LLM-DOCS)". This paper describes our approach to AI-generated clinical summaries and validates their accuracy and utility for practicing physicians.
LLM-DOCS is designed for:
We believe that staying current with medical literature shouldn't require hours of reading. LLM-DOCS delivers the essential insights you need in under 2 minutes, helping you provide better patient care based on the latest evidence.
LLM-DOCS is developed by a team of physicians, data scientists, and medical educators committed to improving evidence-based practice. Our team includes:
Have questions, feedback, or suggestions? We'd love to hear from you. Subscribe to LLM-DOCS or reach out to our team.