Ehr Collection

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☠️Poison

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“The most popular open source electronic health records and medical practice management solution.”

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💎Aqua

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“Medplum is a healthcare platform that helps you quickly develop high-quality compliant applications.”

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⚡Thunder

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“OpenMRS API and web application code”

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⚡Thunder

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“智能办公OA系统[SpringBoot2-快速开发平台]，适用于医院，学校，中小型企业等机构的管理。Activiti5.22+动态表单实现零java代码即可做到复杂业务的流程实施，同时包含文件在线操作、日志、考勤、CRM、ERP进销存、项目、拖拽式生成问卷、日程、笔记、计划、行政等多种复杂业务功能。同时，可进行授权二开。”

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⚡Electric

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“Monorepo that holds all of HospitalRun's v2 projects.”

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🔮Psychic

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“Open Source, Enterprise and Modern Health Information System”

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⚡Electric

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“A complete open source for electronic healthcare record management in Hospitals, Clinics and Pharmacy.”

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📦Normal

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“Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.”

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📦Normal

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“Code and website related to the eICU Collaborative Research Database”

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⚡Thunder

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“An open source openEHR server ”

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🔮Psychic

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“Electronic Health Record Analysis with Python.”

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💎Aqua

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“Modular, Production-Ready, Open-Source EHR”

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🔮Psychic

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“Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"”

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📦Normal

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“Open platform to manage and share standardized clinical data, designed by @ppazos at CaboLabs Health Informatics.”

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🔮Psychic

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“Python SDK for healthcare AI: connect models to live EHR systems, skip the integration tax 💫 🏥”

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💎Aqua

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“OpenScribe is an open-source AI scribe that records patient encounters and generates structured clinical notes automatically. You keep full control over data, workflows, and patient privacy with no vendor lock-in.”

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💎Aqua

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“A decentralized Electronic Health Record (EHR) system using Ethereum blockchain, Solidity, IPFS, Angular, and MetaMask. Enables secure, tamper-proof medical record storage and sharing with decentralized access control, ensuring transparency, patient data ownership, and enhanced healthcare data security.”

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🔮Psychic

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“[EMNLP'24] EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records”