Healthcare technologies are rapidly evolving, producing new data types and innovative data uses. Data and technology can bring significant enhancements to the healthcare system, deepen patients’ and consumers’ engagement and understanding about their health, and be used as part of initiatives meant to improve health outcomes. It is critical to analyze how sensitive health and wellness data affect individual privacy and understand what it means for doctors, researchers, and companies to responsibly use such data. The FPF health team continues to build on its prior work on Consumer Wearables and Wellness Apps and Devices and Privacy Best Practices for Consumer Genetic Testing Services by exploring and addressing issues at the forefront and intersection of health, data, and privacy. Of main focus are the privacy challenges related to the collection, use, and sharing of both medical data and data that falls outside of the scope of HIPAA and FDA regulations. FPF brings together stakeholders to analyze how new technologies and data practices in the health ecosystem can impact individual privacy and promote the more effective and ethical use of data.
This post is the second in a four-part series on Brain-Computer Interfaces (BCIs), providing an overview of the technology, use cases, privacy risks, and proposed recommendations for promoting privacy and mitigating risks associated with BCIs. Click here for FPF and IBM’s full report: Privacy and the Connected Mind. In case you missed it, read the […]
BCIs are computer-based systems that directly record, process, analyze, or modulate human brain activity in the form of neurodata that is then translated into an output command from human to machine. Neurodata is data generated by the nervous system, composed of the electrical activities between neurons or proxies of this activity. When neurodata is linked, or reasonably linkable, to an individual, it is personal neurodata.
By Brenda Leong and Dr. Sara Jordan Machine learning-based technologies are playing a substantial role in the response to the COVID-19 pandemic. Experts are using machine learning to study the virus, test potential treatments, diagnose individuals, analyze the public health impacts, and more. Below, we describe some of the leading efforts and identify data protection […]