Hassan Revel.

Chughtai Lab · Qodexl

EMR AI Copilot.

Documentation support inside a clinical consultation.

HealthcareLLMsFastAPIDjango

A clinical assistant for consultation notes, form completion and doctor-led documentation workflows.

EMR AI Copilot project presentation showing clinical forms and consultation documentation
EMR AI Copilot · Project presentation from Hassan Revel’s portfolio

The project

Purpose & implementation.

The EMR AI Copilot is designed around the documentation involved in a live consultation. Hassan Revel’s work connects language-model assistance to clinical forms, session notes and prescription-support workflows, while preserving a doctor’s ability to work manually.

The project puts documentation assistance alongside the consultation workflow, giving clinicians a choice of manual and assisted paths.

What the workflow brings together

  • Support for live consultation workflows
  • Assisted completion of clinical forms
  • Session notes and prescription-support documentation
  • Flexible manual and AI-assisted interaction patterns

The engineering around it

The work combines the model or recognition pipeline with application services, data and interfaces. These connections are the part of the product that lets people use the output inside a real workflow.

Explore the related services for the kinds of implementation Hassan can bring to a similar project.

Continue exploring

More selected work.

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