The IDC study provides a visual representation of the process of technology adoption, dividing technologies into three major categories based on their impact on the organization and assessing technology relative to adoption levels within their respective categories. The study examines individual technology categories and provides additional insights about the speed of adoption, technology potential for success (risk), and level of market buzz so that end users may make their own decisions about investment.
"There has been a distinct transition from a site-focused model, employing elaborate clinical trial methodology to a lean, agile, and flexible decentralized model, which is more 'patient centric.' While COVID-19 has served as a major propulsive force in triggering this change, the industry has recognized the value of technology adoption as a key enabler in driving patient centricity, and lot of this may now be here to stay," says Dr. Nimita Limaye, research VP, Life Sciences R&D Strategy and Technology at IDC Health Insights. "It is important to carefully analyze which technologies are best suited for the appropriate trial as this is not a one-size-fits-all model. The industry needs to leverage technologies such as wearables, telehealth solutions, social media, and others to reduce the patient burden and build a closer patient connect. Analytics should be used to unravel the data chaos, drive real-time monitoring and data sharing to build transparency and trust, and redesign the patient experience."
Augmented and virtual reality, Big data analytics and discovery, Blockchain, Cognitive/artificial intelligence, Enterprise social software, Governance, risk and compliance infrastructure, Technology buyer, Wearables
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