I want to transfer the healthcare data, which includes demographic and multimedia such as medical imaging, etc., from Asia & the US to Europe and vice versa. So the healthcare data will be collected from various hospitals and clinical centers in India, the US, and EU countries. The questions are as per below:
Q1. I know that i can transfer demographic data in anonymized or pseudo codes form, but how can I generate anonymized or pseudo codes for multimedia data that contain patient identity?
Q2. How can i use healthcare data in Europe countries when consent was taken in other countries of different parts of the world? The patient consents to data per legal regulations of other countries, such as the US & India. While EU countries have data protection laws such as GDPR. In contrast, the US has health data protection laws like HIPAA.
I am looking for some solutions to these two questions.
Ensure compliance with data protection laws and regulations in both countries, use secure data transfer methods, and consider setting up a data center in each country to reduce the need for cross-border data transfers.
Doç. Dr. Ahmet Efe Thank you for your answer. We are already following compliance for data protection in each country, but the problem is that there is no common rule on data protection which makes the data transfer procedure a little bit complex.
You can use a combination of techniques such as data masking, tokenization, and encryption to generate anonymized or pseudonymized codes for multimedia data containing patient identity, in compliance with different data protection laws. However, the specific techniques and methods used may vary depending on the particular laws and regulations in each country. it is difficult but the easies of the strictest might be a mitigation.
Doç. Dr. Ahmet Efe Thank you for your suggestion. We already did research on the possibility of data transfer but if use anonymized codes for demographic data. What about multimedia data such as images and videos which represent some disease conditions, e.g., facial expression during pain? How to tackle this point?
Encryption and access controls should be considered for difficult cases. When it comes to facial expressions during pain, masking the face of the patient is the most commonly used method to protect their identity. There should be some tools for that kind of masking problems. However, it's important to note that facial expressions can provide important diagnostic information that healthcare professionals rely on. In these cases, pseudonymization or anonymization of the data may be a more appropriate method of masking, while still allowing researchers and healthcare professionals to analyze the data for insights into disease conditions.
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