Medical Data Anonymization and De-Identification
Remove sensitive patient data from DICOM files and HL7 messages while ensuring clinical workflows remain intact. We provide trusted counsel, data assessment, and data masking services & solutions to de-identify and anonymize protected health information, images, and reports. Our data masking solutions are performed on a per-project basis, and with the help of our data experts we will custom tailored a solution that meet the project goals. We are also working on new solution that can be installed conveniently onsite, letting you select studies and perform immediate de-identification.
Data Masking Solution
DICOMATICS assist’s academic medical centers and hospitals that are looking to tap into the vast archives containing valuable medical data for big data analytics, research, and machine learning purposes. Sharing medical data with researchers must be accomplished within a reliable and impenetrable framework to preserve the integrity of patient privacy. HIPAA and Safe Harbor provisions impose strict and necessary rules governing the methodology and auditing of PHI de-identification.
Our solution advantages:
- Consulting and Data Assessment
- Support DICOM and HL7 formats
- Complete PHI Removal
- Advance Customizations
- Data Validation
- HIPPA Compliance
Each project is different and requires a design and strategy to include adequate Quality Assurance functions to make sure the Protected Healthcare Information (PHI) is in fact de-identified before it is shared outside of the client hospital’s system. Our team will review the project goals and make design recommendations while keeping you in compliance.
During the design phase, we work with our clients to define what data elements are required and what options available for each data element
Points to consider:
- Are there any specific dataset filter requirements?
- Should the link of patient to his studies be preserved?
- Should and can the age/gender data be preserved in the anonymized data set?
- Where and how will the anonymized data will be shared?
Typical project phases:
- Project Design
- Project Setup
- Data Assessment
- Data Extraction
- data Masking
- Data Validation
- Data Sharing
- Project Closeout
- HIPPA report summarize the project
Data flow diagram
Our tools can be customized to remove sensitive patient data from HL7 messages and DICOM files, while leaving clinical workflows and relevance intact while following HIPAA PHI policies and procedures to ensure safety and compliance.
Masking DICOM Data
Our engines use templates that are define during the project design phase, we allow full control and flexibility to mask any DICOM tag value, and automatically generate new random values.
We can remove or populate any defined or random value and ensure compliance.
We support all of the DICOM, private or custom tags in the metadata. This feature allows us to work with non DICOM compliance formats that might be found in a large data sets.
Masking HL7 Data
Our tools rapidly transform and mask large volumes of HL7 messages and can be fully customized per project.
Contact our experts today to discuss your project