<span id="version" style="color: grey; float: right">Version 1.0.0</span><br/>

# Medical Entity Extraction Assistant
This solution proposes a generative AI (GenAI) framework that extracts critical medical concepts and maps them to standardized vocabularies. It includes a human-in-the-loop interface to facilitate expert validation of the GenAI-assigned codes. It also offers a quick dashboard with metrics to examine the GenAI pipeline's performance on code generation.

Key beneficiaries include:
- Medical coders
- Clinicians
- Epidemiologists and health outcomes researchers

# Key Outcomes
## GenAI Framework for Medical Coding
This solution contains a GenAI pipeline to process clinical notes and assign medical codes in batches. The framework includes visual GenAI recipes allowing users to revise prompt engineering and embedding to accommodate different clinical notes and medical coding types. 

## Expert-in-the-loop Code Verification Webapp
This webapp facilitates medical code review and auditing by clinical experts. Users can revise, reject, and verify model-assigned medical codes. A note reader displays the selected original clinical note, annotated with texts used by the GenAI model as evidence to support the extracted medical concepts. 

## Note Summary & Verified Code Review
This web app provides a final view of the notes and their verified codes once committed. It provides a model-generated summary for each clinical note. A tabular view lists all verified medical codes and the validator's account and time logs. 

## Dashboard for GenAI Model Metrics
It provides a quick view for the data team to monitor the model performance on code generation. 

