US Food and Drug Administration

Last Tuesday afternoon, the US Food and Drug Administration (FDA) held a webinar to outline a recently-published Digital Health Innovation Action Plan (Plan). In the Plan, the agency recognized that the traditional regulatory approach toward moderate and high risk medical devices is not well suited for the fast-paced, iterative design, development and type of validation used for digital health software products today. Going forward, the agency plans to explore an innovative approach to regulating these types of products. The approach contains three primary prongs: (1) the issuance of new guidance, (2) the Digital Health Software Precertification Program and (3) an internal expansion of FDA’s digital health capabilities.

The webinar was presented by Bakul Patel, Associate Director for Digital Health at FDA. At least 905 attendees logged in to the webinar. Continue Reading FDA Outlines the New Digital Health Innovation Action Plan and Software Precertification Pilot Program

On July 29, 2016, the US Food and Drug Administration (FDA) finalized General Wellness: Policy for Low Risk Devices Guidance (Final Guidance) detailing its risk-based regulatory approach to relax certain regulatory requirements for low risk products that promote a healthy lifestyle—coined “general wellness products.” In the Final Guidance, the FDA makes minimal substantive changes to the policies articulated in its January 2015 draft guidance. Notably, however, the Final Guidance added and refined several examples to illustrate the products that are subject to FDA’s enforcement discretion and ultimately outside FDA’s intended scope of regulatory oversight.

Read the full article, FDA Finalizes Guidance on Low Risk General Wellness Devices here.

At a recent public workshop, Dr. Janet Woodcock, director of the U.S. Food and Drug Administration’s (FDA) Center for Drug Evaluation and Research (CDER), announced plans to expand the agency’s use of the Sentinel infrastructure to conduct post-market effectiveness studies.

Sentinel is an electronic surveillance system that aggregates data from electronic medical records, claims and registries that voluntarily participate and allows the agency to track the safety of marketed drugs, biologics and medical devices. As of August 2015, the Sentinel database includes information from 193 million individuals, 4.8 billion instances of prescription dispensing, 5.5 billion unique encounters and 51 million acute inpatient stays.

The FDA currently uses the system to assess post-market safety issues. However, in a February 3, 2016, workshop, Dr. Woodcock announced that the FDA is in the early stages of adapting the Sentinel infrastructure to develop the “Guardian” system, which the agency intends to use to “actively gather information about the performance of regulated medical products” used in health care. At the same workshop, Dr. Steven Anderson of the FDA’s Center for Biologics Evaluation and Research (CBER) described the Guardian system as a parallel system to Sentinel that will rely on the Sentinel infrastructure to assess product effectiveness. According to Dr. Anderson, the FDA is currently assessing the feasibility of using Sentinel to perform effectiveness studies, and over the next five years, intends to develop the system to support a range of clinical trial designs.

The FDA envisions that the Guardian system will help the agency and external researchers quickly and less inexpensively answer questions about the performance of medical products that would otherwise require expensive, time-consuming clinical investigations to assess. The FDA did not specifically address how the agency intends to use the effectiveness data developed using the Guardian system.

The proposed Guardian system represents the FDA’s latest attempt to harness the power of “big data” and to participate in the changes precipitated by digital health strategies and tools to address FDA priorities. In 2014, the FDA launched its openFDA initiative, which gives the general public access to several of the agency’s public data sets (e.g., adverse event reports). Moreover, in December 2015, the FDA launched a beta version of its precisionFDA platform, which is an online, cloud-based platform that is intended to allow scientists from the public and private sectors to test, pilot and validate existing and new bioinformatics approaches for processing the large amounts of data collected using next-generation sequencing (NGS) technology.

The FDA’s efforts to launch the Guardian system mirror “big data” initiatives by other private and public stakeholders seeking to leverage data capture and data mining to pursue important public health, quality improvement, research and cost-containment efforts.