Author: Mona Sobhani, PhD
I’ve been thinking for a while now that the definition of Personal Health Information (PHI) is outdated and I’ll explain why below. Because of this fact, one of two things are true. Either the federal law that protects PHI, HIPAA: (1) should apply to all types of personal data, including location, activity, and social), or (2) is no longer relevant, and broader personal data regulations are needed to encompass all data related to health.
To be clear, HIPAA is a wonderful legislation that protects patients. Without HIPAA, a health plan could sell a patient’s data without the patient’s permission to, let’s say, an employer who could use it for company decisions, or to a bank who could use the information to deny a loan. The problem with HIPAA is that it makes one huge assumption: that health status can only be inferred by the types of personal health data covered by HIPAA.
In this era, though, can we confidently say which personal data is related to health and which is not? Social determinants of health, such as poverty, education, gender, ethnicity, and employment account for ~60-80% of our health (1–3) – and all those types of information can be collected, or at least inferred, by the massive amounts of personal information that is now readily collected online. Beyond social determinants of health, specific social network data and physical activity, sleep, and social interaction data correlates with, and can even predict, depression, suicide risk, and mental illness (4–8), as well as risky behavior that can lead to bad health outcomes (9). The predictions are so strong that Facebook has a suicide prediction and intervention program (10). If all of this personal data can help predict past, current and future health states, shouldn’t it also be protected?
Some may argue that, yes, with all this de-identified, aggregated data, we can predict health trends, but it’s all anonymous, so what’s the issue? In fact, many companies and organizations have claimed that sharing de-identified data is not a privacy risk. However, we now know that it can be rather easy to re-identify many different types of data. For example, a recent study showed over 90% accuracy of re-identifying individuals from physical activity data and demographic data (11). Re-identification has also been found to be possible using online search data (12), movie rating data (13) , social network data (14), genetic data (15), social network metadata (16), and wearable data (17). A recent, and terrifying, New York Times article (18) shows how location data can be used to identify individuals, because it turns out there’s only one person who lives where you do, works where you do, and that has your exact daily routine.
Even if the definition of PHI were to change to include these other data, tech companies would probably still not be considered “covered entities” – even though they are the largest hoarders of our personal data. With the current digital landscape, either HIPAA needs to be updated to cover all relevant data and entities, or maybe we need new regulatory frameworks.
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