TY - JOUR
T1 - The legal and ethical concerns that arise from using complex predictive analytics in health care
AU - Cohen, I. Glenn
AU - Amarasingham, Ruben
AU - Shah, Anand
AU - Xie, Bin
AU - Lo, Bernard
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
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U2 - 10.1377/hlthaff.2014.0048
DO - 10.1377/hlthaff.2014.0048
M3 - Article
C2 - 25006139
AN - SCOPUS:84905994854
SN - 0278-2715
VL - 33
SP - 1139
EP - 1147
JO - Health Affairs
JF - Health Affairs
IS - 7
ER -