Wemedoo Talks: Insights from Industry Leaders

“We Wanted to Do It the Way It Should Be Done”

Clinical trials are complex, fast-moving, and filled with challenges that demand both precision and adaptability. Few understand this better than Urosh Vilimanovich, PhD, Director of Clinical Data Operations at Wemedoo AG, who has spent over 20 years working across academia, startups, and clinical research. Dive in and discover the story behind team pushing the boundaries of clinical data management and their innovative software solution.

Click on the image below to watch the full interview:

Interview with Urosh Vilimanovich, PhD, Director of Clinical Data Operations, Wemedoo AG
21st February 2025

Ivana Bogdanovic:
Today I am speaking with the Director of Clinical Data Operations of Wemedoo AG, who will share his extensive research experience from academic and corporate sectors across Europe and Canada – over 20 years in total.
To start, could you tell us how these experiences have shaped your professional journey and what inspired you to bring your expertise to Wemedoo?

Urosh Vilimanovich:
“Thank you, Ivana. My entire career has revolved around medical research, which I have always been passionate about. I started in academic and translational research, completing a PhD in neuro-oncology and neuroimmunology, working on glioblastoma and leukemia. Over the years, I also launched three startups focused on various aspects of technology and healthcare.
I have always been drawn to clinical research as, in my view, it represents the pinnacle of medical science: developing therapies for those who truly need them. When the opportunity arose to transition into clinical research full-time, I jumped at it. It has been an intense, rewarding journey, and I have never looked back.”

Ivana:
That dedication clearly shows. In 2024, you and your team received, from the Association for Clinical Data Management, recognition for „Team Excellence in the Management of Clinical Data“. With Wemedoo you are also returning as one of the main sponsors at the ACDM25 Conference in Prague. What does this recognition mean to you and your team at Wemedoo?

Urosh:
“Last year, it was a genuine surprise! We are a relatively small team, we have done things our way, guided by an intense research-focused mindset and fresh perspectives rather than strict adherence to industry tradition. Interestingly, it was our clients who nominated us. The ACDM board recognized not only our approach and methodologies but also our focus on our customer’s needs. Their acknowledgment validates that our emphasis on processes, attention to detail, and commitment to client satisfaction have resonated beyond just our customer base.”

Ivana:
That recognition highlights your team’s hard work. As Director Clinical Data Operations at Wemedoo, you have dealt with all aspects of biometrics – data management, biostatistics, and medical writing. Modern software solutions like oomnia, which you helped develop, aim to address day-to-day challenges in clinical studies. How does oomnia help tackle these issues?

Urosh:
“We created oomnia as a unified clinical research information system. Our guiding principle is that any technology used in clinical trials – EDC, RTSM, eTMF, CTMS, and so on – should be as intuitive and user-friendly as possible. We have achieved this through a true single sign-in approach for all modules within one system, rather than piecing together multiple integrated platforms.
By having a single, comprehensive system, we reduce training time, eliminate tedious manual data reconciliation, enhance workflows, and let people focus on what they are good at. Repetitive, error-prone tasks are better handled by software, increasing efficiency and user satisfaction. Our goal is to streamline processes, ensure data integrity and reusability, while providing real-time access to data and analytics with minimal friction.”

Ivana:
It sounds like oomnia offers the kind of seamless integration the industry has been seeking for years. What sets it apart from other solutions on the market, and how does it solve the typical pain points in trial execution?

Urosh:
“Absolutely. Having a fully unified system means multiple capabilities – EDC, RTSM, eTMF, CTMS – function under one login. That dramatically simplifies usage and training. Real-time data access and analytics are a critical challenge in clinical trials. With everything in one place, oomnia can offer instantaneous reporting and analytics that most other platforms only achieve with significant integration efforts.
For instance, if you want a data management report, you do not have to wait for a monthly update or third-party integration. You can generate a real-time report in a matter of clicks. This level of insight helps reduce manual overhead and enables more proactive decision-making.”

Ivana:
From your perspective, what is the most critical challenge in data management and biometrics for clinical trials, and how does oomnia address it specifically?

Urosh:
“The main challenge is data standardization and flow. We have fully integrated a CDISC metadata browser into oomnia, allowing us – or any user – to standardize data from CDASH to SDTM, and onward to ADaM and other statistical deliverables. This level of standardization streamlines downstream processes dramatically.
We also focus on quick study startup. With oomnia, even complex trials can go from CRF design to first-patient-in within weeks. On the back end, we are working on one-click SDTM exports, which eliminates labor-intensive file conversions. Overall, our goal is to automate as much as possible – whether that is randomization or reconciliation – so users can concentrate on analysis and decision-making rather than clerical tasks.”

Ivana:
Could you share a real-world example of how your team and the oomnia software made a significant difference in a particular clinical study?

Urosh:
“One notable example is a large ophthalmology study we supported. The CRF had around 5,000 questions and involved both a new device and a new drug, creating significant complexity. The sponsor needed the study to be up and running – first patient in – within just two months. We managed to build, test, and train site personnel on that massive CRF, with go-live in about nine weeks.
Because we designed the CRF with automated data cleaning and logical branching, we reduced the number of manual queries by about 66% compared to industry averages. That saved both time and money for the sponsor. The collaboration was so successful that the sponsor nominated us for an award – and we’ve maintained a strong professional relationship, and most notably friendship, ever since.”

Ivana:
These results clearly explain why you keep receiving such honors. This level of performance also speaks to Wemedoo’s people-focused approach. Could you give us some insight into the company culture and values that make your team so effective?

Urosh:
“I genuinely love working at Wemedoo. Our team is incredibly hard-working, committed, and truly enjoys what they do. They are self-starters: when they do not know something, they will learn it until they master it. And they don’t rest until our clients succeed.
We also have great camaraderie. Every morning starts with a bit of humor before we dive into serious tasks. Nobody hesitates to help each other or put in extra effort when needed. We are honest with each other and with our clients, which I believe is crucial for maintaining trust and delivering high-quality work.”

Ivana:
To wrap up, could you share your vision and future plans for both oomnia and clinical data management in general? What trends or developments do you see emerging in the next few years?

Urosh:
“For us at Wemedoo, standardization and unification remain top priorities. We aim to automate as many repetitive tasks as possible, letting people focus on the work that really benefits from human expertise. With the ever-increasing volume of data, automation is essential to keep clinical trials efficient and accurate.
We are also exploring how to best integrate artificial intelligence. In GxP environments, we must be careful to keep humans in the loop where needed while letting machines handle tasks, they are best at. We are looking at tighter bidirectional communication with external systems and devices – like EHRs or wearables – to reduce data reconciliation efforts.
Ultimately, because oomnia is built on a single, unified backbone, with a unique data construct in the back-end, we are in an excellent position to lead the industry forward – offering seamless metadata management, quick study startup, real-time analytics, and improved patient-centric features. Step by step, we are heading toward a future where clinical trials are faster, more transparent, and more adaptable to emerging research needs.”