Our team has partnered with many biopharma teams as a Data Science CRO, developing AI/ML solutions to translate complex clinical trial data into knowledge. We've seen firsthand how stale, fragmented data can hamper clinical operations and slow down trial progress.
Operating in the Dark - Sponsors we’ve worked with consistently report similar challenges: limited visibility into essential metrics, fragmented data streams across vendors, and delays in accessing actionable insights. Clinical development teams often describe being forced to operate in the dark—making critical decisions based on outdated, isolated datasets.
Increasing Operational Overhead - With limited resources and ever-expanding responsibilities spanning operations, safety, and compliance, clinical teams are stretched thin. When insights are locked within disconnected platforms or buried under layers of static reports and spreadsheets, valuable time is lost—time that should be spent on higher-value activities, like optimizing trial execution or mitigating risks.
The Hidden Cost of Fragmentation - The operational overhead from managing multiple logins, custom reports, and fragmented dashboards only compounds the problem, adding complexity and pulling focus away from strategic initiatives. The reality is that this burden is not just a technical inconvenience—it’s a threat to oversight, timelines, budgets, and outcomes.
Biopharma leaders must rethink their approach to clinical data management if they want to stay competitive and agile. Unified, real-time data isn’t just a nice-to-have; it’s the key to unlocking operational efficiency, accelerating trials, and empowering teams to make timely, informed decisions that drive success.
At OmniScience, we are transforming how clinical teams access and leverage their data. We believe insights shouldn’t be gated by scheduled analysis points—researchers, operations teams, and safety monitors need immediate, actionable access to trial data throughout the study lifecycle.
Vivo unifies data from all trial sources in near real-time, giving stakeholders continuous access to both subject-level and population-level insights. With Vivo, research teams move from waiting for static reports to interacting dynamically with their data, fostering faster decisions and smoother operations.
For Operations Teams: Vivo eliminates the bottlenecks of manual reporting and fragmented spreadsheets, providing a single source of truth across trial activities. By centralizing access to operational metrics, Vivo simplifies daily workflows, reduces administrative burden, and ensures teams can respond proactively to challenges. This streamlined data access helps shorten timelines, cut operational costs, and free up teams to focus on what matters.
For Safety Teams: Real-time access to unified safety data enables monitoring teams to maintain seamless oversight across trials. With Vivo, safety monitors can instantly spot trends and anomalies at both the subject and population levels, ensuring faster detection and response to emerging risks. This proactive, data-driven approach strengthens patient safety and helps sponsors stay aligned with regulatory requirements.
For Clinical Researchers: Slow data disrupts progress and introduces risks to study quality. Vivo resolves this frustration by providing real-time insights into biomarker, COA, PRO, and other outcome measure performance, while safeguarding the study’s blind. Researchers can track behavior patterns, identify deviations early, and address potential issues before they become impossible to remedy, ensuring the integrity of study outcomes. Vivo’s proactive monitoring tools empower researchers to maintain high data quality and achieve more reliable results.
For Data Managers: High quality data is essential to the success of a clinical trial. Real-time insights into data quality and automatic identification of data discrepancies, both within and across sources, support data management teams with more efficient paths to high quality data and accelerated time to database lock.
For Clinical Development Leaders: Real-time data combined with generative AI empowers leaders at all levels to obtain immediate answers to questions about their trials. As the first AI assistant designed specifically for clinical development reasoning, Vivo acts as a collaborator helping users quickly assess study progress, identify risks, and think through scenarios. This streamlined access to information fosters agility and data-driven decision-making to accelerate timelines and enhance clinical strategy within and across trials.
Waiting for fragmented data is quickly shifting from the status quo to a major risk for study success. Biopharma leaders must rethink their approach to trial oversight to ensure trials run efficiently and deliver high-quality outcomes.
At OmniScience, we are equipping clinical development teams with the data they need to succeed—without the wait. Vivo empowers sponsors to break free from the bottlenecks of slow, siloed data by providing real-time access to unified insights. This enables proactive decision-making across the trial lifecycle without compromising study integrity.
By eliminating surprises at key milestones, sponsors can move from reactive problem-solving to a strategic focus on decisions that drive trial success. In an environment where doing more with less has become the norm, real-time answers to critical questions are essential.
Are you ready to unlock real-time data for your trials?
