Clinical Technologies

INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES

Redefining ALS Clinical Endpoints: Unlocking The Potential Of DHT
ALS drug development struggles with trial failures due to complex biology and endpoints. Digital health offers sensitive, objective measures to improve clinical trial outcomes collaboratively.
Tackling Special Characters With SAS And R
Protect the integrity of your research by proactively detecting and removing hidden characters to ensure accurate, reliable, and compliant study results.
Leveraging DHTs To Improve Data Collection And Analysis
How can wearable DHTs be leveraged to measure physical activity in patients with immunological diseases, enhancing clinical trials and advancing drug development?
Why RTSM Software Doesn't Belong Inside An All-In-One Suite
Don’t let administrative convenience compromise study integrity. Discover why purpose-built RTSM is essential for managing the technical complexities and specialized demands of modern trials.

Navigating The Evolving Regulatory And Data Landscape
8/19/2024

Explore how real-world evidence is reshaping clinical research and learn why precision and innovation are key to staying ahead in this evolving landscape.
Demystifying AI In Clinical Trials
12/5/2025

AI is revolutionizing clinical trials by improving efficiency and data quality, but success depends on strategy and oversight. Explore practical ways to integrate AI responsibly.
Learning About The Sensors In myMedidata
9/16/2025

Learn how sensor data and advanced analytics can transform clinical research and enable your study to overcome data challenges, improving patient care.
Avoiding The Gotchas: RTSM Build Tips From A Seasoned PM
3/25/2026

Small protocol details can create outsized challenges when definitions are unclear or when integrations aren’t planned early.
The Future Of Wearable Technology In Clinical Trials
4/8/2025

Learn how wearable technology is reshaping the future of clinical trials, offering opportunities to collect continuous, real-time health data while improving patient access and engagement.

Targeted Source Data Verification

Ergomed’s Risk-Based Clinical Monitoring and Source Data Verification Approach for Data Integrity

Ergomed ensures the highest data integrity and patient safety standards through our risk-based clinical monitoring and Source Data Verification (SDV) practices. SDV is a critical process in clinical trials that ensures the data collected are accurate, complete, and verifiable against the source documents. We compare data entered into case report forms or electronic data capture systems with the source data to confirm their accuracy and reliability.
Your Medical Imaging Workflow Solution

By addressing common "pain points" such as the complex handling of DICOM files and unreliable transfer methods, the Judi platform prevents workflows from coming to a grinding halt.
The Big Impact Of Medable AI

Streamline your clinical trial study creation by automating and accelerating the eCOA build process. Generative AI models perform your repetitive configurations and significantly shorten build times.
End-To-End Data Management Services

Avance Clinical’s data management team has gained a world-class reputation for accuracy, precision, and quality of their biostatistics and pharmacokinetic (PK) analysis.
Medidata Professional Services Streamlines TSDV Adoption

Be ensured that Targeted Source Data Verification is appropriately aligned to meet the needs of clinical trial monitoring and risk-based quality management.