Melissa Easy and Vinita Navadgi of IQVIA discuss the advantages of automating consent workflows in healthcare through eConsent processes. They delve into the metrics defining its effectiveness, highlight the role of AI in shaping clinical trials, and explore the potential of using AI tools to personalize consent-related content for better patient outcomes.
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Quick takeaways
E-consent in healthcare workflows improves patient comprehension, expedites the consent process, and enhances patient satisfaction and trial sponsor cost efficiency.
E-consent plays a vital role in clinical trials by providing comprehensive information, setting expectations, and leveraging AI and data technologies to create personalized experiences and improve patient recruitment, trial efficiency, and patient safety.
Deep dives
E-consent: Optimizing Consent Workflows through Automation
E-consent is becoming increasingly important in healthcare workflows, offering a more systematic and interactive way of presenting consent forms to patients. It allows for a step-by-step presentation of consent forms, tracking patient comprehension and providing multimedia tools such as audio narrations and videos to enhance understanding. This digital option improves patient comprehension, expedites the consent process, and allows patients to review documentation at their own pace. E-consent also helps in improving patient recruitment levels and retention in clinical trials, leading to better patient satisfaction and cost efficiency for trial sponsors.
Applications and Impact of E-Consent in Clinical Trials
E-consent has specific applications in clinical trials, where it serves as the first formal introduction for patients. By providing clarity and comprehensive information about the trial, it helps patients make informed decisions. E-consent plays a vital role in setting expectations and creating a seamless and frictionless enrollment process. The use of AI and data technologies in e-consent allows for personalized experiences, customization of consent content based on patient demographics, and quick translation into multiple languages. This not only benefits patients but also contributes to improved patient recruitment, trial efficiency, and patient safety.
Leveraging Data Tools and AI for Healthcare Workflows
Beyond e-consent, data tools and AI have a broader impact on healthcare workflows. The abundance of data in healthcare requires tools that can process and analyze vast amounts of information to derive meaningful insights. AI tools can help identify trends, predict disease risks, and improve decision-making processes. In addition, AI technologies can be leveraged to create multimedia-rich consent content, flag ethical and legal issues in documentation design, and authenticate patients. While AI adoption in healthcare requires careful validation and human oversight, it holds promise in enhancing patient experiences, optimizing workflows, and advancing personalized medicine.
Today’s guests are Melissa Easy, Vice President and General Manager of Clinical Technologies and Vinita Navadgi, Sr. Director, Digital Patient Suite at IQVIA. They join us on today’s show to discuss the advantages of optimizing consent workflows through automation, or ‘eConsent’ processes. The conversation delves into the metrics defining the effectiveness of ‘eConsent’ for both patients and healthcare providers, elucidating the role of AI in shaping the broader landscape of clinical trials. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!
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