Sold by: John Snow LabsÂ
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Automated PHI redaction in DICOM images, preserving data integrity while ensuring compliance with healthcare privacy regulations.
Overview
This pipeline enables automated PHI redaction in DICOM images, ensuring compliance with HIPAA and other healthcare privacy regulations. The model performs the least intrusive form of DICOM de-identification removing only the most critical PHI from images and most essential metadata fields while preserving all non-sensitive details for research and analysis. The output is a de-identified DICOM document with blacked-out sensitive data, making it suitable for secure sharing, AI training, and regulatory compliance.
Key applications includes: Automated PHI Redaction - Seamlessly integrate into hospital imaging systems; Secure Image Sharing - Enable safe collaboration across medical institutions; Compliance & Auditability - Maintain traceable PHI removal for regulatory adherence.
With this solution, data scientists and healthcare providers can confidently process medical images while safeguarding patient privacy and research integrity.
IMPORTANT USAGE INFORMATION:
After subscribing to this product and creating a SageMaker endpoint, billing occurs on an HOURLY BASIS for as long as the endpoint is running.
-Charges apply even if the endpoint is idle and not actively processing requests.
-To stop charges, you MUST DELETE the endpoint in your SageMaker console.
-Simply stopping requests will NOT stop billing.
This ensures you are only billed for the time you actively use the service.
Highlights
- **Benefits:** * Precision Masking: Accurately identifies and obscures PHI within images to maintain patient confidentiality. * Enhanced Data Security: Implements robust measures to ensure data remains protected both in transit and at rest. * Efficient Processing: Utilizes GPU resources for quick processing of large image files, reducing wait times significantly.
- **Additional resources** * [DICOM de-identification part 1](https://www.johnsnowlabs.com/dicom-de-identification-at-scale-in-visual-nlp-1-3/) * [DICOM de-identification part 2](https://www.johnsnowlabs.com/dicom-de-identification-at-scale-in-visual-nlp-2-3/) * [DICOM de-identification part 3](https://www.johnsnowlabs.com/dicom-de-identification-at-scale-in-visual-nlp-3-3/)
Details
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Latest version
Deployed on AWS
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Pricing
Free trial
Try this product free for 14 days according to the free trial terms set by the vendor.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m4.2xlarge Inference (Batch) Recommended | Model inference on the ml.m4.2xlarge instance type, batch mode | $47.52 |
ml.m4.xlarge Inference (Real-Time) Recommended | Model inference on the ml.m4.xlarge instance type, real-time mode | $23.76 |
Vendor refund policy
No refunds are possible.
Legal
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Mask PHI information in DICOM images, removing the least possible amount of tags and image texts.
Additional details
Inputs
- Summary
Supported Dicom input format.
- Input MIME type
- application/octet-stream
https://github.com/JohnSnowLabs/spark-nlp-workshop/tree/master/products/sagemaker/models/dicom_deid_generic_augmented_minimal/inputs/real-time
https://github.com/JohnSnowLabs/spark-nlp-workshop/tree/master/products/sagemaker/models/dicom_deid_generic_augmented_minimal/inputs/batch
Resources
Vendor resources
Support
Vendor support
For any assistance, please reach out to support@johnsnowlabs.com .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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