AI Virtual Assistants
Sensitive Healthcare Data must be de-identified consistently in order to preserve the Protected Health Information (PHI) of the patients that cannot be disclosed without consent.
Clinical record de-identification is critical in the human life sciences because a de-identified text can be made publicly available to facilitate human research about various chronic health conditions.
Clinical documents on patients contain explicit personal health information (PHI), which prevents the release of many useful data sets due to the risk of jeopardizing individual patient rights. The protected data can be pin pointed by the Natural Language Processing module used in our solution.
We use technologies that make the application light & fast!
Hugging Face- Transformers for NLP
Google Speech Engine (STT, TTS).
Amazon Comprehend Medical & AWS Lambda.
Clinical De-identification- Features
Set your primary goal of de-identifying the PHI details for a particular patient that is collected & updated automatically in the EHR using NLP.
- Patients first, last names, as well as the names of their health proxies & family members are de-identified.
- Get data sharing consent from patients just by changing the flow.
- Replacement of personal data allowing access from any geography.
- Easy algorithm for identifying the protected patient data.
Why Choose Us?
We provide you with the best and flexible solution for your software ideas!