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.
De-Identify provides an efficient and reliable solution to protect sensitive patient data while ensuring that healthcare providers, researchers, and other stakeholders can extract valuable insights from the data.
Use the latest, sophisticated de-identification techniques to safely de-identify data
Can handle multiple data types including databases, data sets, free text, messages, and more
Our software helps you assess the risk of sharing de-identified data with specific individuals or groups based on sensitivity and context
Guide users through the entire de-identification process, from raw to desired output, trading off the strength of de-identification with information loss and bias
While others are generalists, we specialize in healthcare
Free text de-identification allows you to extract valuable insights from unstructured data
Use the latest, sophisticated de-identification techniques to safely de-identify data
Can handle multiple data types, including databases, data sets, free text, messages, and more
Our software helps you assess the risk of sharing de-identified data with specific individuals or groups based on sensitivity
The service provides user-friendly intuitive web-based UI screens
Textual sections of medical data often have additional meaningful information that may not be found in structured records. Clinical textual data is also hard to de-identify, as it usually has a lot of typos, shorthand, spelling, and grammatical errors. Global privacy regulations, however, do not differentiate between structured and textual data. The same strict constraints are enforced to protect patient privacy. In general, there is still no known practical application that is available and ready to use for textual de-identification.
Orion Health’s De-identify supports de-identifying clinical free text allowing users to upload clinical notes etc to produce pseudonymised surrogated clinical texts to protect patient privacy.
It is important to test a system with realistic data before entering production, especially if there are some major changes. The best way to ensure that a new system performs as expected, is to go through testing in a similar environment.
The De-identify can help de-identify the production database by removing sensitive PHI information, while still keeping most of the business transaction data intact.
What you’ll learn:
Authored by Fiona McPherson Grant, Orion Health VP of Data
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