When it comes to managing imaging data in clinical trials, researchers find many challenges. Disjointed systems that don’t talk to each other, manual data transfers that invite errors, and time lost navigating segmented workflows. Integrating imaging data with electronic data capture (EDC) systems has traditionally been a headache, with limited interoperability and inefficiencies slowing progress.
TrialKit PACS (Picture Archiving and Communication System) offers a unified platform for managing imaging data from acquisition to analysis—all seamlessly tied to EDC workflows. Let’s explore how TrialKit simplifies this process and compare it to the fragmented approaches many competitors still rely on.
Step 1: Streamlined Data Acquisition in Clinical Trial Imaging
Imaging data typically enters a clinical trial workflow during participant assessments. In a traditional setup, images are captured using diagnostic tools and stored in external systems. This often requires manual uploads or data migrations to connect the imaging data to the study’s central records.
TrialKit PACS eliminates these extra steps by integrating imaging directly into the study’s EDC system. When an image is captured, it’s instantly uploaded into the TrialKit platform, ensuring the data is available for review and analysis in real time. This direct acquisition means no delays, no manual data entry, and no misplaced files—everything is right where it should be, exactly when you need it.
Step 2: Secure Storage and Organization for Clinical Trial Imaging Data
Managing imaging data is no small task. With large file sizes, sensitive patient information, and strict regulatory requirements, secure storage is a top priority. Many trial teams rely on standalone PACS systems or external storage solutions, which can lead to disorganization and access issues.
TrialKit PACS simplifies this process by providing a centralized and compliant storage solution within the same platform used for EDC. All imaging data is securely archived with comprehensive audit trails, ensuring easy retrieval for regulatory audits or study reviews. The platform’s intuitive organization tools make it simple to find the exact image or dataset you need, saving time and reducing frustration.
Step 3: Linking Clinical Trial Imaging Data to EDC Systems
One of the biggest pain points in clinical trials is the lack of connectivity between imaging systems and EDC platforms. Without a direct link, researchers often have to manually input imaging metadata into the EDC system, risking transcription errors and creating data silos.
TrialKit solves this by seamlessly integrating imaging data with the EDC workflow. Each image or scan is automatically tied to the corresponding participant record, ensuring a single source of truth for all trial data. This tight integration not only reduces the risk of errors but also speeds up data reconciliation, keeping the trial moving forward smoothly.
Step 4: Real-Time Data Sharing and Collaboration
Collaboration is key in clinical trials, especially when it comes to imaging data. Radiologists, site staff, and study teams often need to review and annotate images as part of the analysis process. However, traditional workflows can make this challenging, with images stored in external systems that require separate logins or file transfers.
TrialKit PACS offers built-in tools for real-time image sharing and collaboration. Researchers can view, annotate, and discuss imaging data directly within the platform, streamlining communication and decision-making. These features ensure that everyone stays on the same page, reducing delays and improving study outcomes.
Step 5: Advanced Analysis and Reporting for Clinical Trial Imaging
Once imaging data is collected and organized, the next step is analysis. Traditional workflows often require exporting images to separate software for processing, which can lead to compatibility issues and inefficiencies.
TrialKit PACS integrates analysis tools directly into the platform, allowing study teams to perform advanced imaging analytics without leaving the system. Whether it’s measuring tumor size, tracking disease progression, or validating imaging endpoints, the platform provides the tools needed to extract meaningful insights. Once the analysis is complete, measurements and reports are automatically linked back to the EDC system for seamless reporting.
The TrialKit Advantage: Streamlined vs. Segmented Workflows
What sets TrialKit apart from competitors is its ability to deliver a fully integrated imaging-to-analysis workflow. In contrast, many competitors rely on segmented systems that force users to piece together separate tools for imaging, data storage, EDC, and analysis. This disjointed approach creates inefficiencies, increases the risk of errors, and slows down the trial process.
Here’s how TrialKit’s streamlined workflow compares to traditional segmented processes:
| TrialKit PACS Workflow | Segmented Competitor Workflow |
| Imaging data captured and uploaded instantly to PACS | Imaging data exported from devices and manually uploaded to external systems |
| Data automatically linked to participant EDC records | Imaging data manually reconciled with EDC records |
| Secure, centralized storage within the EDC system | Imaging data stored separately in external systems |
| Real-time sharing and collaboration tools | Limited sharing options requiring external tools |
| Built-in analysis tools with seamless reporting | Data exported to external software for analysis, then manually imported into EDC |
The result? TrialKit users save time, reduce errors, and simplify workflows, while competitors are stuck juggling multiple systems and workarounds.
Higher Efficiency, Better Outcomes
By unifying imaging and EDC workflows, TrialKit PACS doesn’t just make life easier for study teams—it improves outcomes for the entire trial. Here’s how:
- Regulatory Confidence: Centralized storage and audit trails make it easier to maintain compliance and prepare for inspections.
- Faster Decision-Making: With real-time access to imaging data, researchers can make quicker, more informed decisions.
- Improved Data Quality: Automated workflows reduce the risk of errors, ensuring cleaner, more reliable data.
- Time Savings Across the Board: Integrated tools cut down on manual work, freeing up time for higher-value activities like patient care and study analysis.
Conclusion
Managing imaging data doesn’t have to be a logistical nightmare. TrialKit PACS offers a complete imaging-to-analysis workflow that eliminates inefficiencies, reduces errors, and keeps your trial on track. By integrating imaging data directly into the EDC system, TrialKit provides the seamless connectivity that research teams need to succeed.
If you’re ready to leave fragmented workflows behind and embrace a smarter, streamlined approach, TrialKit PACS is here to help. From imaging to analysis, everything you need is at your fingertips—all in one powerful platform. Learn more about TrialKit PACS today.
