Component

Components are the building blocks of the healthchain pipeline. A component is anything callable that takes a Document and returns a Document — .add_node() accepts a plain function just as readily as a component instance.

Bring your own NLP or ML library (spaCy, HuggingFace Transformers, LangChain), run it inside a node, and hand off the results explicitly using Document's FHIR methods (e.g. doc.update_problem_list(...), doc.fhir.problem_list).

Creating Custom Components

You can create your own custom components by extending the BaseComponent class and implementing the __call__ method.

from healthchain.pipeline.base import BaseComponent

class MyCustomComponent(BaseComponent):
    def __init__(self, **kwargs):
        super().__init__(**kwargs)

    def __call__(self, data):
        # Your custom processing logic here
        return data