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Healthcare
Mental Health Practice Network

Clinical NLP for Psychiatric Practice

75%

Reduction in prep time

20%

More patients seen daily

95%

Clinician satisfaction rate

The Challenge

What Problem Were We Solving?

Psychiatrists spent 30-45 minutes before each patient session reviewing unstructured clinical notes, previous session summaries, and medication histories. This pre-session preparation reduced the number of patients they could see.

Our Solution

How We Solved It

Designed and deployed RAG-based NLP pipelines to extract insights from unstructured clinical data. The system automatically summarizes patient history, flags relevant changes, and presents key information in a digestible format.

Technology Stack

Technologies Used

Python
Hugging Face
LangChain
FHIR
PostgreSQL
Results

Key Outcomes

75% Reduction in prep time
20% More patients seen daily
95% Clinician satisfaction rate

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