Investment in new health-related technologies has been greatly accelerated by the pandemic.
As the country emerges from the COVID-19 pandemic, it’s time to evaluate and assess lessons learned and find any possible silver linings derived from the crisis. This includes telehealth and the use of remote technology.
EMA’s IDMP is not the pinnacle of data-based product/regulatory information management. It is simply the first in what will be a long line of digital requirements to emerge globally, across all facets of life sciences. This article reviews best practices for companies looking to maximize the ROI of their data-driven process transformation initiatives by making them more broadly fit for the future.
Digitally connected healthcare is here to stay, and this moment is an opportunity to capitalize on the expanding potential of technologies that are already helping deliver better patient experiences and outcomes.
Due to rapidly evolving regulatory landscape and manufacturing demands, label requirements and the information they contain are constantly changing. Here’s how medtech organizations can manage the process.
As the focal point of care moves away from the facility and into the home, care providers and health systems will lean more heavily on connected health devices in advancing and expanding the future of healthcare.
To achieve success, a medical device startup must build a sophisticated data architecture specifically designed to deliver maximum value for its customers’ use cases. However, it’s extremely difficult to build such an architecture—especially given early-stage budget constraints. That’s why startups must wisely synch their data architecture spending with their funding rounds.
U.S. companies are increasingly engaging with organizations worldwide to push innovation in nanotechnology forward.
It is critical for leaders in the medtech space to ensure that nonviable medical devices and equipment are destroyed properly, while focusing on long-term sustainability goals.
Edge computing brings processing and storage closer to data’s source rather than sending it to a distant data center in the cloud. Edge computing also complements advanced technologies such as artificial intelligence (AI). Here’s a look at why it facilitates the medical imaging progress.