Fast, flexible and proven, IQVIA’s industry-leading electronic clinical outcome assessment (eCOA) platform ramps up efficiencies, delivers real-time data, and sharpens insights through best-in-class technology and a better patient experience.
As the global pandemic complicated centralized trials, sponsors had to shift to new strategies for remote patient data capture. Now more than ever, there has been an apparent shift in the industry to push forward the adoption of bring your own device (BYOD) technology as a viable strategy to capture electronic clinical outcomes assessments (eCOAs). Utilizing BYOD is becoming more widespread as we look to the future.
In this webinar, eCOA experts will explore how to implement a BYOD strategy, relevant BYOD regulatory considerations, and where the market is going from here. Specific points will include:
- How the pandemic has furthered the adoption of BYOD as a practical means for capturing patient data in clinical trials
- The benefits of BYOD including reduced patient burden, reduced costs, and increased patient compliance
- How to develop a BYOD strategy and the considerations that need to be made while planning and implementing
3 Key take-aways for attendees:
- What to look for in dynamic design and technology to enable BYOD
- What to consider when approaching regulatory agencies
- How to reduce patient burden through the use of BYOD
Related solutions
Explore our Frequently Asked Questions (FAQ) page to learn more about general industry eCOA topics and also specific details about our IQVIA eCOA solution.
In these short demo videos, learn more about some of the key capabilities within the IQVIA eCOA platform including how to easily create an assessment, utilize the AI design tool, access automated screenshots and documentation, export/import translations, and view study data and reports.
Technology informed by unparalleled Decentralized Trials (DCT) operational experience and delivered at global scale.
Ease the burden on your sites and make it easier and more appealing for patients to enroll and remain engaged.
Combine data science, technology, and analytics driven by artificial intelligence to support new efficiencies and business insights -- without additional capital investment.
