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Doctolib has revised its privacy policy to allow the use of patient data for training AI models. This includes various types of data such as appointment history, medical notes, and voice recordings, but requires explicit user consent for personal health data. The company emphasizes that it will only process anonymized data when no health data is involved, citing 'legitimate interest' as the legal basis for such actions.
The move comes amid growing interest from various companies in utilizing patient data for AI training, with Doctolib leveraging technologies like Whisper and GPT-4o from OpenAI. With over 80 million users, Doctolib is also launching an electronic patient file in France, which could compete with state offerings. However, concerns about data protection and the implications of AI in healthcare persist, as highlighted by regulatory voices.
• Doctolib amends privacy policy for AI training using anonymized patient data.
• Growing interest in patient data for AI training from various companies.
Anonymized data refers to information that has been processed to remove personal identifiers, allowing for its use in AI training without compromising individual privacy.
AI models are algorithms designed to perform tasks such as data analysis and prediction, which in this case, are being trained using patient data.
Data protection guidelines are regulations that govern how personal data should be handled, ensuring user privacy and compliance with laws like GDPR.
Doctolib is a healthcare technology company that provides an appointment booking service and is now using patient data for AI model training.
OpenAI is an AI research organization known for developing advanced AI technologies, including Whisper and GPT-4o, which Doctolib utilizes for its projects.
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