Advancements in biosensor technology are becoming increasingly common in the consumer space, with wrists adorned with Fitbits or similar devices, clothing embedded with “intelligent” fibers, and personal safety devices seen in healthcare facilities across the nation. Our culture is increasingly accustomed to tracking health metrics through smartphones and simple recreational wearables. In the pharmaceutical space, we are now seeing where success in the consumer segment can translate to value-adds for clinical trials.
Enforcement of failures in data integrity and data governance began almost 20 years ago and continues to increase in visibility and number of warning letter enforcement actions. While the FDA is not the only health authority that identifies these issues in inspections and enforcement actions, its transparency ensures the data is available.
This two-part article explores the use of various tools and the emergence of intelligent solutions in the industry.The first part provides an overview of how technological advancements and data analytics are critical in enabling regulators and the life sciences industry.
Who is ultimately responsible for quality/the quality management system at a life science company: (A) all personnel working for the company, (B) the quality assurance department, or (C) company management (including top executives)? Note your answer somewhere before reading this article.
The FDA guidance Medical Device Accessories – Describing Accessories and Classification Pathways, clarifies much of the confusion regarding accessory classifications, making now a good time to conduct a gap analysis to identify a thorough list of your current and future accessories, and to determine the guidance’s applicability to each.
The FDA’s Software Precertification Pilot Program moves away from the agency’s long-held stance that it does not “approve companies,” exploring new thinking on how to regulate by reputation and continuous improvement loops, rather than reviewing each and every low-risk product. Might there be a way to replicate this type of thinking for complex products?
This article presents the most recent publication of GMP drug product inspection data from the FDA’s Center for Drug Evaluation and Research (CDER), which addresses drug inspections conducted in FY2017. It looks at five years of data from the FDA, examines data from 2017, and evaluates five years’ worth of trends in GMP inspection enforcement.
FDA officials and leaders in the pharma and medical device spaces agree artificial intelligence (AI) tools could enable a step change in quality management in those industries. Areas that could be impacted include supply chain management, lot release, manufacturing, compliance operations, clinical trial end points, and drug discovery, among others.
Drug developers have found a powerful ally in their campaign to advance biosimilar adoption in the U.S. — the nation’s health insurance providers. Insurers are keen to drive down the price of reference biologics, and they view biosimilars as an important way to accomplish that goal.
Healthcare is undergoing a shift in how key stakeholders approach and evaluate patient data — driven by growing access to and general use of real-world data, such as de-identified patient data collected and analyzed from registries, electronic health records, wearable devices, and administrative and healthcare claims databases. This type of data is increasingly being utilized by industry representatives to help inform device development, health system operations, formularies and resulting coverage, and patient care decisions.