Cheap genetic sequencing, big data, and advanced biotechnology have the potential to revolutionize healthcare, but they also raise health data privacy concerns. They permit the emergence of derived data, which is unknown to the individual it describes and obtained through the analysis of existing data, both related and unrelated to healthcare. Derived data implicates the effectiveness of informed consent, the current method to protect patient privacy. Patients, research subjects, and consumers cannot reasonably consent to sharing, analysis, or use of data they do not know exists. To protect privacy rights while enabling progress in healthcare, regulations which now conceptualize data in silos must properly contend with 21st century data processing capabilities to link distant and seemingly unrelated data to form a more compete whole.