Big Data, Predictive Analytics, Health Care, Law, and Ethics

Update: The Moore Foundation has generously paid to make my article available as open access on their website here. Today I am speaking at Health Affairs’ “Using Big Data to Transform Health Care” in DC, that will also launch its new issue devoted to the topic. I have a co-authored paper in the volume entitled “The Legal And Ethical Concerns That Arise From Using Complex Predictive Analytics In Health Care” that has just been released. Ironically the article is behind a paywall (while data wants to be free, I guess big data is different!) Here is the abstract.

Predictive analytics, or the use of electronic algorithms to forecast future events in real time, makes it possible to harness the power of big data to improve the health of patients and lower the cost of health care. However, this opportunity raises policy, ethical, and legal challenges. In this article we analyze the major challenges to implementing predictive analytics in health care settings and make broad recommendations for overcoming challenges raised in the four phases of the life cycle of a predictive analytics model: acquiring data to build the model, building and validating it, testing it in real-world settings, and disseminating and using it more broadly. For instance, we recommend that model developers implement governance structures that include patients and other stakeholders starting in the earliest phases of development. In addition, developers should be allowed to use already collected patient data without explicit consent, provided that they comply with federal regulations regarding research on human subjects and the privacy of health information.

I will also have a related paper on mobile health coming out later this summer that I will blog about when it comes out…

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