Advanced technology helps empower a clinical research organization to optimally manage Veristat clinical data and the study as a whole. For example, the use of mobile technology as an integrated data source and management tool increasingly became mainstream during and post-pandemic to navigate resulting obstacles. Such an industry-changing event has created a new clinical trial landscape. In this article, you will discover helpful tips to navigate the new waters that are in the clinical trial industry today. Let’s dive in.
Leverage data from various sources
COVID created circumstances that made traditional patient visits more difficult. This disrupted the clinical trial industry. Today (post-pandemic), there’s a lot of interest in decentralized clinical trials and digital health, which helps revolutionize how sponsors and clinical trial leaders collect patient data. The clinical trial industry has relied on lab and case report forms (CRFs) to collect data for years. In the modern landscape, research data originates from plenty of sources—wearables, the Internet of Things (IoT), imaging, and electronic patient-reported outcomes (ePRO), just to mention a few.
While these clinical data sources are not new in the research industry, the pandemic shifted how they are used in clinical trials. For example, during the pandemic, the FDA’s update on the Guidance for the Conduct of Clinical Trials evoked interest in reducing in-person interactions with trial patients. It also increased remote trials, electronic informed consent, and patient-entered data collection. Although this change takes many research companies out of their technological comfort zones, it has huge advantages for patients and sponsors. For example, gathering data using wearables enables patients to participate from the comfort of their homes to reduce clinical trial visits and increase engagement. This reduces site costs for sponsors, and if done accurately, may reduce the study duration.
Use next-level analytics and reporting tools
Once you’ve gathered clinical data, organizations should leverage advanced technology to gain insights that facilitate informed decisions. As study protocols become more complex, however, has increased the demand for solutions to efficiently centralize and analyze data. These technologies provide a dashboard view and a dynamic visual analysis of clinical, operational, and metadata during the clinical trial. An example of such technology is Crucial Data Solution’s TrialKit BI which combines all clinical trial data under one platform. Choose a tool that best suits your needs based on security, relevant features, and reliability.
Implement a holistic approach to data and operational management
Integrating operational and clinical data have for years been a challenge in clinical trials. That’s because of departmental silos within organizations and disparate data collection and storage tools. For example, one department may be specifically interested in operational data while another may have control and exclusive access to genomic data. This creates data silos in the clinical trial site. But by unifying and integrating a wealth of gathered data in a trial, the entire research team can use the data, simplifying departmental collaboration. Many organizations perceive the transition from traditional, siloed systems as a risk because of regulatory, budgetary, and technical obstacles. However, these barriers are easy to overcome as cost-friendly and more flexible technologies emerge due to regulatory agencies adjusting to industry trends.
Navigating the new clinical trial landscape is arguably easy if you leverage powerful data collection tools and robust analytics tools. You can implement such integrated approaches for data and operational management.