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by ar7hur
1197 days ago
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Thanks for your comment. We plan to offer an on-prem option eventually. In the meantime:
- we offer a GDPR compliant EU-based hosting option
- we don't store anything (no audio, no transcript, no note): it's stateless and all erased at the end of each consultation
- data is pseudonomyzed as it flows though our systems Our first customers (large healthcare orgs) have been OK with this so far! |
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First question - you say that you don't store anything (no audio, no transcript, no note), but your legal agreement says that in order to use this service, the doctor asserts to you that they have gotten consent from the patient for you to reuse all data processed through the service for research and development, and to improve the performance, models, and algorithms of this or any other solution you come up with in the future. Why the difference and how do you square A with B?
"Due to the substantial financial, material and human investments made by NABLA within the framework of the Contract for the development and updating of the Solution, NABLA wish to be allowed to reuse the data processed within the framework of the Contract.
The CLIENT, when applicable in the name and on behalf of the DATA CONTROLLER, warrants that the Data Subjects have been informed of their rights and have given their consent for the use of their data within the framework of the Contract when required by applicable laws or the Regulation and authorizes the DATA PROCESSOR to reuse the Data processed within the framework of the Contract, as long as the latter undertakes to comply with the Regulation for all of this Data, for the uses listed below:
- research and development of the Solution,
- improving the performance, models and algorithms developed and trained by NABLA in the context of the Solution or any other solution published by NABLA,"
Second question - you say that you don't store anything (no audio, no transcript, no note) and that it is all erased at the end of each consultation. But do you store any artifacts derived from the audio, transcript, or notes of a consultation, like data processed directly or indirectly from the audio, transcripts, or notes of a consultation that is fed in to an AI model, ML model, or other dataset that you persist after the consultation?