Advancing Drug Safety Through Prospective Pharmacovigilance.

Much has changed in a relatively short period of time. There is a raging debate over the level of evidence expected to first introduce a treatment to patients based on smaller, more adaptive data sets. Some argue for less data followed by postapproval follow-up, others for more adaptive clinical trial designs and end-point modification driven by patient-focused drug development and use of real-world evidence. The transition in both the review and postmarketing regulatory framework is happening in front of our eyes in real time. To improve the ability of patients to receive high-quality, safe, effective, and timely care, better information via pharmacovigilance must be a priority as the world's many regulatory systems build the capacity to harness electronic health information to improve health, care quality, and safety. Globally, the widely variable ability of nations to build reliable regulatory systems (from precise review to robust pharmacovigilance) is a dangerous source of health care inequality. Developing validated tools and techniques for "predictive pharmacovigilance" will assist all health systems in better understanding the risks and benefits of the medicines they regulate by understanding what should be happening once a new medicine moves from risk-benefit regulatory efficacy to real-world risk-effectiveness. This will be of particular utility for smaller regulatory agencies with fewer resources. By comparing preapproval predictive pharmacovigilance data, developing regulatory authorities will be able to better understand the potential gap between what was predicted and what was actually measured (via more traditional pharmacovigilance methodologies). Predictive pharmacovigilance recognizes the value of understanding the imperfect reporting of real-world clinical use and that the absence of reporting is, in itself, an important postmarketing signal.