In mid-August, the MIT Center for Biomedical Innovation (CBI) hosted a day-long forum (full video at http://cbi.mit.edu/) that explored the relationship between innovation and safety, and the associated risks faced by patients, investors, payers, regulators and industry executives. The newly-launched center exemplified the collaborative principles it professes by engaging speakers from industry, government, and academia as it addressed the challenges of developing, producing, and distributing safe medicines. A number of the panels explored specific collaborative mechanisms that, if properly constructed, will significantly reduce the inherent risks in biomedical innovation, as well as enhance the overall productivity of the discovery, development, and commercialization processes.
The MIT-CBI Forum focused on recent scientific, bioengineering, informatic, and process advances that will improve the benefit/risk ratio of therapeutic innovation in the areas of:
Patient registries can provide useful information, but as panelists noted, not only are they costly to develop, but frequently only after they are functioning is it realized that several critically important questions have been inadvertently omitted. An alternative possibility involves linking databases from the clinical development process to multi-million-member medical claims databases, but this raises at least two additional concerns. First, to facilitate effective surveillance, the various medical claims databases and patient registries must be able to communicate with each other, which requires collaboration on standards not only among drug developers, but also with insurers/payers, else, as CBI Executive Director Dr. Frank Douglas noted, "we will erect a 21st century Tower of Babel." Second, since data from such sources typically are observational rather than experimentally randomized, criteria must be developed that spell out the evidentiary standards that would warrant conditions under which there is sufficient evidence for FDA or the manufacturer to issue new warnings or even withdraw a medicine from the market for safety reasons. Developing bio-informatic statistical tools and software that reliably distinguish random and innocuous chance events from evidence suggestive of genuine medical adverse events requires collaboration not only among institutions but also across disciplines. Further, as CMS Administrator Dr. Mark McClellan noted in the previous year's event at MIT, the sharing of post-launch surveillance data offers opportunities for enhanced collaboration and contributions from ex-US healthcare systems.
Dr. Douglas closed the forum by noting that "the approach to solutions is actually very simple and yet at the same time very difficult. It has to do with sociology. Are we willing in a real sense to collaborate in order to compete? That is the paradigm shift. CBI is in a strange way attempting to tackle that problem." The opportunity costs of not collaborating on pre-competitive issues facing the industry and society are staggering. Could a "safe haven" be created where data could be generated, analyzed, and shared and standards established to the benefit of all? "Our CBI Stakeholders from industry and government," Douglas continued, "have said resoundingly that if CBI could find those areas where we can collaborate to compete, it could indeed make a tremendous contribution to all working in the healthcare space."
Ernst R. Berndt, Ph.D., director and program leader, MIT Center for Biomedical Innovation and Professor of Applied Economics, MIT Sloan School of Management; Cambridge, MA; 617.253.2665; fax 617.258.6855; firstname.lastname@example.org