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.
Orion Health’s De-identify can de-identify datasets released to external recipient for research or analytical activities. It estimates “contexts” of data recipients to produce optimally de-identified datasets, balancing between utility and protecting the patient’s 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.
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.