Orchestral De-Identify is software for end-to-end de-identification of health data. It is specifically designed for the healthcare industry, with a focus on patient privacy and compliance with regulatory requirements.
Discover how your data can become a powerful strategic asset in this video with Fiona McPherson Grant, VP of Data at Orion Health.
Learn how de-identification tools within our platform make it easy to securely share and repurpose your data for research, commercial use, or other valuable applications.
The user interface guides you through the process of creating de-identification profiles, balancing risk and data utility with real-time feedback on information loss and bias.
The platform saves you time with template de-identification configurations for different health data types and projects.
The De-Identify platform supports de-identification across a broad range of health data types and formats with flexible deployment options.
Types of data we can de-identify:
Databases
Datasets
Clinical free text
HL7 Messages
CCDs
AI & ML models trained on clinical notes
Involves selectively removing specific identifiers—like patient IDs or exact locations—from a vast range of healthcare data.
Shuffles data elements to obscure their original order, maintaining data integrity for analysis while preventing re-identification.
Organizes data of high individual specificity into broad groups.
Adds or alters data points slightly, like adding background noise to a conversation.
Obscure data with masking or hashing. Encrypt it for later re-identification.
Replacing identifying fields within a data record with artificial data, or pseudonyms.
What you’ll learn:
Authored by Fiona McPherson Grant, Orion Health VP of Data
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