Welcome to HealthChain
HealthChain 💫🏥 is an open-source Python framework designed to streamline the development, testing, and validation of AI, Natural Language Processing, and Machine Learning applications in a healthcare context.
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What are the main features?
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Build a pipeline
Create custom pipelines or use pre-built ones for your healthcare NLP and ML tasks
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Test in a sandbox
Test your models in a full health-context aware environment from day 1
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Generate synthetic data
Use the data generator to create synthetic healthcare data for testing and development
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Contribute
If you have an idea or suggestions, we'd love to hear from you!
Why HealthChain?
You've probably heard every AI will revolutionize healthcare pitch by now, but if you're one of the people who think: wait, can we go beyond just vibe-checking and actually build products that are reliable, reactive, and easy to scale in complex healthcare systems? Then HealthChain is probably for you.
Specifically, HealthChain addresses two challenges:
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Scaling Electronic Health Record system (EHRs) integrations of real-time AI, NLP, and ML applications is a manual and time-consuming process.
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Testing and evaluating unstructured data in complex, outcome focused systems is a challenging and labour-intensive task.
We believe more efficient end-to-end pipeline and integration testing at an early stage in development will give you back time to focus on what actually matters: developing safer, more effective and more explainable models that scale to real-world adoption. Building products for healthcare in a process that is human-centric.
HealthChain is made by a (very) small team with experience in software engineering, machine learning, and healthcare NLP. We understand that good data science is about more than just building models, and that good engineering is about more than just building systems. This rings especially true in healthcare, where people, processes, and technology all play a role in making an impact.
For inquiries and collaborations, please get in touch!