To thrive in today’s customizable world, evolving new product development models needs for data-driven innovation is an increasingly vital transformation. Advancing business models to empower systematic, repeatable and reliable innovation is the best weapon against competitive and consumer-driven disruption. This marcus evans conference will amplify innovation at the intersection of design thinking, data & insight integration, and new product development to raise the bar for consumer-driven innovation.

Product safety is the number one priority of medical device manufacturers. At a time when methods of communication are constantly evolving and expanding and information is ubiquitous, it is challenging, yet necessary, for medical device companies to manage large data streams, be alerted of product malfunctions, and respond efficiently to customer complaints. Coupled with continually changing and ever more stringent regulatory requirements, it is an uphill battle for many medical device manufacturers to manage a harmonized and integrated safety, surveillance, and reporting strategy. This marcus evans Fifth Annual Medical Device Safety Monitoring and Reporting conference aims to shed light on FDA and international guidelines on medical device monitoring and reporting, as well as benchmark best practices from peers across the industry. Delegates will receive practical knowledge and tangible tactics from leading regulatory affairs, compliance, quality assurance, and post-market surveillance professionals on how to efficiently collect and effectively house post-market data, streamline the reporting process to ensure deadlines, and maximize existing tools and technologies to gather all necessary product information.

The Clinical Data Analytics Conference will examine holistic approaches to data utilization, visualization, and quality. Gain actionable insights from data, reduce costs, improve patient outcomes and streamline personalized medicine. Join your peers with responsibilities with Clinical Data Management, Clinical Data Analytics, Data Operations, and Data Warehousing to discuss the latest techniques and trends to enhance performance, mitigate risks, dealing with emerging regulatory concerns and choosing the right tools and technologies to propel clinical data management.