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.
While many healthcare organizations can improve their handling of Private Health Information (PHI) with some form of de-identification, we commonly talk to healthcare systems and healthcare technology or service vendors. Â
Healthcare systems use de-identification tools to securely handle data and comply with HIPAA for data movement outside their organizations. De-Identify can remove sensitive data, allowing it to be used safely for research or analysis.Â
Technology vendors or health companies with offshore teams can use De-Identify to enable safe data sharing for testing, troubleshooting, or upgrade preparation.Â
Our product stands out in the de-identification market in four key ways:Â
De-Identify supports both manual and automated workflows. Initially, users configure the fields to de-identify and save the settings in a project profile. This profile can then be reused automatically, triggered by data events, such as new data uploads, through an API integration. This allows the de-identification process to run in the background without manual intervention each time.
The original data remains intact. De-Identify creates a new, separate de-identified version of the dataset, which can then be used as needed for testing, research, or sharing. The de-identified data can be integrated with the original dataset if desired, or kept separate, based on the specific use case.Â
Onboarding involves setup and “train-the-trainer” sessions, tailored to each organization’s technical maturity. Initial setup may require some project hours and services to fully equip clients to run their de-identification processes independently. This setup also varies depending on whether the organization chooses cloud-hosted or on-premises deployment.Â
Our team is happy to talk you through the tool and provide a demo for your specific use case. You can contact us here. We also have a Buyer’s Guide to De-Identification Solutions which you can read and download below.
What you’ll learn:
Authored by Fiona McPherson Grant, Orion Health VP of Data
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