Case Study
Purity Health Streamlines Medical Data Extraction with Generative AI-powered Automation
Solutions
Industries
About Purity Health
Challenge
Purity Health’s Key Business Objectives
Purity Health aimed to build an AI-powered system to automate the extraction of medical data such as patient–doctor transcriptions and documents. They focused on several key business objectives:
Key Amazon Web Services Used
- Amazon Comprehend Medical
- Amazon Textract
- AWS Lambda
- Amazon Simple Storage Service (S3)
- Amazon CloudWatch
Third-Party Tools
- Claude
Solution
How Cloudelligent Accelerated Purity Health’s Objectives
Through advanced Generative AI automation on AWS, Cloudelligent empowered Purity Health to streamline medical data extraction, strengthen compliance, and accelerate AI model performance.
1
Implementing Automated Medical Data Extraction
An automated data extraction system is implemented using Amazon Comprehend Medical and Amazon Textract to process patient and doctor transcriptions and documents. This workflow converts unstructured medical text into structured formats and ensures adherence to HIPAA compliance requirements throughout the extraction process.
2
Deploying AI Data Processing Workflows
To manage and process medical data efficiently, two AI-powered workflows are deployed by Cloudelligent. The first extracts key information from PDF files using Amazon Comprehend Medical and Claude, automatically generating Patient Information Extract records that are securely stored in Amazon S3. The second creates synthetic medical data in JSON format to validate SOAP note generation and maintain consistent model performance.
3
Optimizing Model Performance with Prompts
Prompt engineering techniques are applied by Cloudelligent’s experts to optimize the model’s understanding of unstructured medical data. Through the refinement and fine-tuning of prompts, the workflows improve extraction accuracy and ensure consistent interpretation of complex clinical information, supporting reliable data transformation across systems.
4
Enforcing Secure and Compliant Operations
The system is deployed across sandbox, staging, and production environments to establish secure and compliant data workflows. A one-week user acceptance testing (UAT) sprint validates functionality and incorporates feedback before final deployment. HIPAA compliance is enforced with role-based access controls, encryption protocols, and secure data storage practices.
Results & Benefits
Automated, Accurate, and Secure Health Data Workflows
Cloudelligent’s AI-powered solutions enable Purity Health to transform unstructured medical data into actionable insights, streamlining workflows while maintaining accuracy and compliance. Key outcomes include:
Automated and Accelerated Data Processing
Cloudelligent automates the extraction of structured medical data and SOAP note generation. This helped reduce manual documentation time by up to 70% and allows clinicians to focus on patient care.
Accurate and Consistent Medical Data
Structured extraction using Amazon Textract ensures high-quality data for AI workflows. Entity recognition accuracy improves by up to 85%, minimizing errors in patient information extraction and enabling reliable model training.
Secure and Compliant Workflows
A HIPAA-compliant architecture with role-based access controls and encrypted data flows secures sensitive information, ensures regulatory compliance, and simplifies environment management across sandbox, staging, and production.
Scalable and Cost-Effective Framework
The implemented workflows provide a scalable foundation for additional data sources and future use cases. Purity Health targets $50,000 in annual savings and anticipates a 10% increase in client retention.
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