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Building healthcare-context aware applications ...

Building healthcare-context aware applications with HealthChain

Generative AI has the potential to improve care and increase productivity within the NHS, especially when integrated in existing workflows. However, getting started on projects like these can be complex and time-consuming, requiring expertise in both AI and healthcare systems.

In this talk I will introduce HealthChain, an open-source Python framework that makes it easy to prototype and test AI/NLP applications that integrate with electronic health record (EHR) systems by providing sandbox environments for end-to-end pipeline and integration testing without having to deal with the intricacies of backend APIs and data configurations. I will also discuss how this will help us build reactive, reproducible, and scalable systems in health beyond initial proof-of-concepts.

Avatar for Jennifer Jiang-Kells

Jennifer Jiang-Kells

December 10, 2024
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  1. Preprint About Me - Research software engineer specialising in NLP

    - Experience designing and implementing real-time AI solutions in NHS clinical settings - Spent too much time working with electronic health record systems (EHRs) Education 2021 - 2025 2024 - Open source developer tools for the next generation of healthcare AI applications
  2. We imagine the process to look like this 👩💻🍣 🏥🍱

    🏥🍱 🏥🍱 🏥🍱 🏥🍱 🏥🍱 🏥🍱 ➡
  3. So in reality it’s a bit more like this 👩💻🍣

    ⏳ 🧑⚕ 🍱 🧙🍱 🥷 🍱 ⏳ ⏳
  4. An open-source Python framework to simplify building, testing and evaluating

    AI and NLP applications in a healthcare context HealthChain 💫 🏥
  5. 🤖 Build pipelines integrated with NLP and ML libraries 🔌

    Built-in CDA and FHIR connectors 🚀 Deploy servers locally with FastAPI Build An open-source Python framework to simplify building, testing and evaluating AI and NLP applications in a healthcare context HealthChain 💫 🏥
  6. 🤖 Build pipelines integrated with NLP and ML libraries 🔌

    Built-in CDA and FHIR connectors 🚀 Deploy servers locally with FastAPI Build 🧪 Test end-to-end pipelines in sandbox environment 🎨 Generate synthetic data for development 🔮 Version and track experiments Test An open-source Python framework to simplify building, testing and evaluating AI and NLP applications in a healthcare context HealthChain 💫 🏥
  7. Building a Clinical Decision Support (CDS) application with HealthChain 💫

    🏥 Summarising discharge encounters to streamline operational efficiency Example Use Case
  8. Building a Clinical Decision Support (CDS) application with HealthChain 💫

    🏥 Summarising discharge encounters to streamline operational efficiency Example Use Case Model Standardised API Con fi gs Data Versions
  9. Building a Clinical Decision Support (CDS) application with HealthChain 💫

    🏥 Summarising discharge encounters to streamline operational efficiency Example Use Case Model Standardised API Cards EHR Con fi gs Data Versions
  10. An open-source Python framework to simplify building, testing and evaluating

    AI and NLP applications in a healthcare context Get involved! 💫 🏥 Democratise AI in Healthcare with open-source Reduce barriers to implementing AI in clinical settings Make evaluation of patient impact easier Lots more to do! 🚀
  11. Thank you! Assets: Freepik Icons: Icons8 Linkedin Github ⭐ Star

    HealthChain on Github! 🤝 Connect with me on LinkedIn 🍱 🍣