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Rigorous clinical trials under the watchful eye of regulators remain the cornerstone of drug safety. However, the emergence of serious and life-threatening Adverse Events (AEs) across best-selling drug classes [sometimes many years after winning Food and Drug Administration (FDA) approval] underscores the limitations of current clinical trial processes and reinforces the need for careful postapproval pharmacovigilance. The FDA’s sizeable repository of patient case reports linking AEs to approved drugs is the Adverse Event Reporting System (FAERS). We believe that open and user-friendly access to the millions of case reports in FAERS would help advance the field of post-marketing pharmacovigilance. However, FAERS data are virtually inaccessible to most physicians, pharmacists, and consumers. Accordingly, we have recently launched a big data platform (www. Adverse-Events. com) that, unlike previous efforts, provides on-demand, user-friendly, and highimpact access to FAERS data. Bringing the power of big data to regular users, such as clinicians, pharmacists, and patients, is the logical next step in the transformation of health care to a model of shared decision making between consumers and the system.