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Source channel @githubtrending · Post #15200 · Oct 6

#php#ehr#emr#fhir#global_health#health#healthcare#hit#international#linux#medical#medical_informatics#medical_information#medical_records#openemr#osx#php#practice_management#proprietary_counterparts#sponsors#windows OpenEMR is a free, open-source electronic health records (EHR) and medical practice management software that works on many platforms like Windows, Linux, and Mac. It offers features such as patient scheduling, electronic billing, integrated health records, and support for both outpatient and inpatient care. It supports modern standards like FHIR for easy and secure data sharing between healthcare providers. OpenEMR is highly customizable, allowing you to tailor it to your specific needs, and it is ONC certified, ensuring compliance with healthcare regulations. Using OpenEMR can save costs compared to paid EHRs and gives you control over your patient data while benefiting from a supportive community and free resources. https://github.com/openemr/openemr

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​​Совсем лайтовая статья для новичков "10 главных конструкций языка R". Содержание: - Комментарии - Переменные и векторы - Внешние модули - Ввод и вывод - Присваивание и сравнение - Условный оператор if - Цикл for - Функции - Классы, методы и объекты #статьи #easy

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@githubtrending · Post #15433 · 01/23/2026, 02:30 PM

#python#deepseek#demo#easy#embedding#flask#gpt#huggingface_transformers#llm#mcp#multimodal#openai#qwen#rag#sentence_transformers#ui#vllm#vlm UltraRAG is a lightweight framework that makes building retrieval-augmented generation (RAG) systems simple and fast. It uses a low-code approach where you write just dozens of lines of YAML configuration instead of complex code to create sophisticated AI workflows with conditional logic and loops. The framework includes a visual development environment where you can drag-and-drop to build pipelines, adjust parameters in real-time, and instantly convert your logic into interactive chat applications. This means you can deploy powerful AI systems that ground answers in your own data—reducing hallucinations and improving accuracy—without needing extensive coding expertise or lengthy development cycles. https://github.com/OpenBMB/UltraRAG