Abstract

On November 14 last year, the British Guardian published an account from an anonymous whistleblower at Google, accusing the company of misconduct in regard to handling sensitive health data. The whistleblower works for Project Nightingale, an attempt by Google to get into the lucrative US healthcare market, by storing and processing the personal medical data of up to 50 million customers of Ascension, one of America's largest healthcare providers. As the Wall Street Journal had already reported 3 days earlier, and as the whistleblower confirmed, neither was the data anonymized when transmitted from Ascension nor were patients or their doctors notified, let alone asked for consent to sharing their data with Google (Copeland, 2019; Pilkington, 2019). As a result, Google employees had full access to non‐anonymous patient health data. Google Health chief David Feinberg commented that all Google employees involved had gone through medical ethics training and were approved by Ascension (Feinberg, 2019).

Highlights

  • On November 14 last year, the British Guardian published an account from an anonymous whistleblower at Google, accusing the company of misconduct in regard to handling sensitive health data

  • Many privacy/data protection laws regard health-related data as special category that requires a higher level of protection than conventional data

  • In the EU, the General Data Protection Regulation (GDPR) defines health data as a special category of data, the processing of which is prohibited outside the EU unless explicit consent has been given

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Summary

Complex legal regulations

Many privacy/data protection laws regard health-related data as special category that requires a higher level of protection than conventional data. Some basic principles provide a stopgap measure until the law catches up with broader conceptions of health data. The concept of health data as a distinct category is being challenged, as various research projects have used “social media data” to derive and predict health-relevant issues such as risk of depression (Reece & Danforth, 2017). This raises the question of whether all personal data should be regarded as health data (Schneble et al, 2019). The broadening notion of health data makes it all the more important that researchers respect ethical principles and that appropriate oversight mechanisms for data science are in place

Towards responsible data science
Explicit consent
EMBO Molecular Medicine
Data anonymization
Ethical reflection
The urgent need for IRB review
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