Replies: 8 comments
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info from @xiyaozhuang on the work in PrivFP:the free text in created using GenAI, with models downloaded and inferred using Ollama. calls to the LLM are made via LangChain. models not provided on Ollama can be downloaded elsewhere and quantised with llama.cpp for low resource compute. Synthea International is used to create synthetic json patient data for the LLM to ingest. some background exploration: https://nhsengland.github.io/privfp-experiments/open-source-llm-exploration/ Synthea: https://github.com/synthetichealth/synthea-international **insight from @scarlett-k-nhs **:So the repo I found was named entity extraction related - although I thought I'd have a quick look, and this looks like quite a good resource (https://github.com/AI-in-Health/MedLLMsPracticalGuide) - it's all about medicial related LLMs
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GatorTronGPT
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Medalpaca |
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Discussion of privacy fingerprint usage of LLM for creating clinical notes with @willpoulett
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Analysis of GPT-4V for medical usecases
This is incredibly cool that it's able to do this. |
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ChatGPT: the future of discharge summaries? |
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Patient letter examples: Some good templates: https://www.westyorkshireandharrogatehealthyhearts.co.uk/resources-to-use-with-patients |
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Letters Outpatient letter standard from PRSB https://theprsb.org/wp-content/uploads/2018/02/Outpatient-Letter-Examples.pdf NHS England Letter template Information about clinical letters from ROH https://roh.nhs.uk/services-information/outpatients/clinical-letters and digital letters https://roh.nhs.uk/services-information/outpatients/drdoctor
NHS Appointment letter template
Discharge summary template NHS Digital alternate Royal united hospital bath
Clinical Note Care Patron template https://www.carepatron.com/templates/clinical-note-template |
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our purpose
avenues to investigate
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