Viedoc

Is your research inspection-ready? 🔍 Regulatory inspections can be complex. The FDA, EMA, and PDMA expectations aren't always clear, but with our latest Inspection Readiness Packet, you can stay ahead of the curve and ensure your system is approved the first time. Our Inspection Readiness Packet describes aspects to be considered when using a multi-tenanted cloud like Viedoc 📑 🖥️ Meet FDA, EMA, and PMDA expectations effortlessly 🖥️ Access validation documentation without extra workload 🖥️ Ensure data integrity, compliance, and efficiency When you use our #EDC, you focus on your trial—we handle the compliance 🚀 Download an overview of VIRP and ensure a smooth inspection process! 👉 https://lnkd.in/ey2Bk2q2

Happy Valentine’s Day from Viedoc! 💖 This Valentine’s Day, we’re celebrating the heart of what we do—helping researchers and innovators bring life-changing treatments to those who need them most. Just like a perfect match, our eClinical suite seamlessly connects teams, data, and insights to accelerate clinical trials with ease and efficiency. To all our clients, partners, and the entire #clinicaltrialscommunity —thank you for the dedication, passion, and breakthroughs you bring to the world💡🌍

To empower global progress, we are extending our free software license program until December 31, 2025, in support of the United Nations 2030 Agenda for Sustainable Development 🚀🌍 This decision follows our initial offer of free licenses for our #eClinical suite during the COVID-19 pandemic, which has successfully supported 11 studies since 2023. The program focuses on SDG 3.3, targeting the elimination of epidemics such as HIV/AIDS, tuberculosis, malaria, and hepatitis B, as well as neglected tropical diseases. It also supports the research and development of vaccines and medicines for diseases affecting developing countries 🥼💉 Let's collaborate to tackle some of the world's most pressing health challenges. Request a proposal for instructions on how to apply for this offer → https://lnkd.in/evDRvaZD

Our findings were successful !💫 Majd Mirza, our Chief Innovation Officer, reflects on the proof-of-concept case study we recently conducted using a medically certified smartwatch, “This approach can be extended to support any wearable, digital health technology, or medical device that generates large volumes of data requiring aggregation and transformation before analysis. It’s a scalable, customizable solution tailored to meet the needs of any study.” Devices such as Apple watches, Samsung Galaxy watches, Withings devices, and Oura rings are just a few examples of wearable consumer devices that can be integrated using the same framework. What do you think? Would you like to see greater integration of wearables into clinical trials if your EDC system could support it?

From game-changing insights to exciting conversations, we loved connecting with you all at #OCTWestCoast! Huge thanks to everyone who stopped by our booth to explore how our eClinical suite is shaping the future of clinical trials 🔬📈

Join Us at the 16th Annual Meeting of the Japanese Society of Clinical Trials and Research 🇯🇵 We are pleased to showcase our eClinical suite and its role in streamlining workflows, improving efficiency, and supporting clinical trial professionals in their research efforts. Let's connect and talk about how our solutions can enhance your clinical trial processes 🚀

Our recent proof-of-concept study demonstrated the limitless potential of clinical trial research when wearables are seamlessly integrated with our eClinical suite💡🚀 Our case study used a medically certified smartwatch equipped with a SIM card and global data roaming, which tracked steps and heart rate, with data sent directly to our system without intermediaries. The goal was to process the raw data streams, received every two minutes, into meaningful insights. We achieved this by: ⌚ Focusing on the data transformation process - data was collected and converted from JSON to CSV. The processed data was then pushed into our EDC. This process was powered by our clinical data platform and data pipelines, which pull data from various sources (extract), standardize it (transform), and load it into the destination system for analysis (load). ⌚ Storing and reprocessing the data - All raw, aggregated, and transformed data is stored in our data lake. This ensures that the original data is available for reanalysis anytime, enabling researchers to extract additional insights as technology advances. Our last post is coming soon, highlighting the final findings of our wearable integration case study!

Join us at #ACDM25 in Prague! 🇨🇿 We are excited to be both exhibiting and having our Chief Innovation Officer, Majd Mirza, speak about EDC—particularly on facilitating the integration of clinical data across platforms! Between sessions and networking with your clinical data peers, be sure to visit us at booth 20 to learn more about the latest updates to our eClinical solutions 🚀

Reporting from sunny Florida! 📍☀️ #SCOPE2025 has come to a close, and it’s been a great few days of discussions, learning, and connection. On the first day, our Chief Customer Officer, Greg Tullo, took the stage to talk about “Data Made Simple: Get More Done with Viedoc.” He shared how a user-friendly approach to data entry can help clinical teams work more efficiently and gain clearer insights. Thanks to everyone who stopped by booth 1109—it was great connecting with you!

Using AI and Machine Learning to optimise data integration and trial enrolment…… Key topics covered at EUCROF25…… > “Beyond EDC - Facilitating Comprehensive Integration of Clinical Data Across Platforms” - Majd Mirza (Viedoc) explored how robust data pipelines, data lakes, and AI-driven automation are transforming clinical trials by improving data management, efficiency, and scalability, providing a unique perspective on the evolving landscape of clinical research data integration, focusing on the seamless flow of data from external sources into EDC and CTMS platforms. > “Leveraging Advanced Analytics to Optimize Enrollment in a Dynamic Trial Landscape” - In her session, Eleanor McLaurin (Medidata Solutions) demonstrated how data-driven machine learning (ML) and artificial intelligence (AI) can de-risk clinical trials by guiding decision-making throughout the clinical development lifecycle using past trial data to identify patient populations. She also highlighted that leveraging patient and site-level data can lead to faster, more representative trials with a higher chance of regulatory success. #EUCROF #clinicalresearch #clinicaltrials #clinicaloperations #gcp #bigpharma #dct #EUCROF25