The increasing number of clinical trial participants is now setting the alarm for sponsors regarding complexities emerging in today’s research era. The expanding scope and size of the study is currently seeking scalable EDC clinical trial software to address the changing demands in the modern clinical trial approach.
While the size is enormous and capacity is small, the trailblazers rely on multiple electronic data capture software for clinical trials or split the study program into small modules, assigning different vendors to speed the study process.
While they feel it is an intelligent option, practically multiple logins and managing data from different locations put them in strange situations. It can also disrupt the trial program, fueling additional time and costs.
To eliminate such situations, sponsors, and CROs must embrace single-login highly scalable eclinical platforms to reduce data risks and keep the pace of the trial processes.
Scalability – A Propounding Factor in Choosing EDC Clinical Trial Software
Even after having a common share of elements in clinical trials, some crucial aspects seek an extensible module of EDC systems. This is because there may be a few patients in the initial phase of the trials, but in due course, thousands of patients will be enrolling in the later stages and during the post-marketing studies.
During the pandemic, every sponsor came across the power of decentralized trial models, experiencing variations and pace in the clinical trials, which they believe can gather data directly from the sites through eCOA systems and hybrid approach simultaneously.
Probably, there are various data points possible depending upon the protocol complexities, enabling a comprehensive view of all the data through different sources like data transcriptions, eCRFs, or directly through patient-reported outcomes software.
Due to the Inflation Reduction Act 2022, while the funds are at stake from the investor end, it is essential for emerging biopharma to closely observe the loopholes, as large-size trials impact mid-study changes, seeking a productive EDC system for easy data operations and management.
According to the Tuft Center for the Study of Drug Development report, it takes around two and a half years to cover phase-III trials. On the other hand, rare disease trials can end up taking 12+ years of research and study. Hence, it is required to ensure database scalability for prolonged study periods.
Does “One Size Fits All” Model Matters?
As the study expands, it generates more complexities, which involve several data endpoints that reflect data from sources like clinical sites, medical research, CROs, and also directly from patients through eDiaries.
The “One Size Fits All” model matters when there is a scope of expansion in trials that seeks smooth workflow, and it doesn’t hamper data accessibility throughout the clinical trials.
Conversely, for small biopharma groups, the definition of “One Size Fits All” has different resolutions, highlighting the range of requirements to store data through EDC systems. With the growth of the research, the small-scale model may inhibit the data management process, causing unpredictable outcomes during the trial journey. Hence, it is advisable to evaluate the trial needs and estimate the data size to ensure safe management in the future.
The market is floating with various pricing models based on the appropriate needs, budget, and size.
This decentralized clinical trial software comes with convenient & automatic data validation features that don’t require any customizations and improves the research, covering the trial objectives within a few weeks.
Measuring Trial Flexibility Through EDC Clinical Trial Software
While most pharma companies chase the best digital tools to meet their trial needs, it is necessary to measure the software’s flexibility with the systems they run for trials and studies.
As clinical trial software expands its potential to build a robust database platform, it now eases the clinical trial stakeholders to remotely monitor the studies and streamline their strategies for effective outcomes at the end of the research.
It is the reason that boasts the growing demand for clinical trial data capture software, living behind the boundaries, including trial size, budget, phase count, and other demographic factors.
Empowering your EDC Software through Integrations
A sole EDC system is insufficient on the journey of data collection from different data points. It requires proportional contribution from modules like eConsents, eCOA systems, ePRO systems, CTMS, and other existing systems. Interoperable under a unified platform with flexible integrations, the operations become centralized, aiding data storage in a single location.
Further, it safeguards data privacy and maintains accessibility to limited personnel, including the respective trial participants.
These unified platforms keep track of adverse events and notify the sponsors at the early stage with an opportunity to rectify the same at the initial levels, avoiding future trial bottlenecks.
Conclusion
As the systematic approach to clinical trials requires tracking every single data point, the site users of all levels must be aware of & apply the changes, which the systems notify automatically and validate these data at a fingertip.
Every piece of data matters for analysis and decision-making in the era of complex trials. EDC clinical trial software adapts mid-study protocols and extends full support to the stakeholders without hampering the trial workflow.
Due to the multi-faceted benefits this clinical research software provides to the research industry, experts welcome solutions at a large scale for their future trials.
