Context

Context

In clinical trials, managing and synchronizing large volumes of data from multiple sites and studies is a complex challenge. Sponsors often struggle with piecemeal systems that do not communicate effectively, leading to data silos and a lack of actionable insights. The need for a unified platform to seamlessly track and manage biospecimen data, monitor compliance, and optimize site performance was evident to address these inefficiencies and ensure trial success.


Our platform offers sites both Inventory and Sample Management. I needed to look across the platform to see what data we collect, mapping it back to how Sponsors need to manipulate or aggregate that data to gauge insights that help increase them with decision-making and their trial success rate.

In clinical trials, managing and synchronizing large volumes of data from multiple sites and studies is a complex challenge. Sponsors often struggle with piecemeal systems that do not communicate effectively, leading to data silos and a lack of actionable insights. The need for a unified platform to seamlessly track and manage biospecimen data, monitor compliance, and optimize site performance was evident to address these inefficiencies and ensure trial success.


Our platform offers sites both Inventory and Sample Management. I needed to look across the platform to see what data we collect, mapping it back to how Sponsors need to manipulate or aggregate that data to gauge insights that help increase them with decision-making and their trial success rate.

Problem

Problem

When I took on the project, I encountered a landscape cluttered with unnormalized data, making it incredibly difficult to integrate and analyze information across various sources and systems. The absence of standardized data formats led to significant inconsistencies and inefficiencies in how trial information was processed and reported. This fragmentation not only slowed down data analysis but also posed substantial risks in data integrity and compliance. Sponsors were left with a system that was not only slow but often inaccurate, hindering effective decision-making and prolonging trial durations.

When I took on the project, I encountered a landscape cluttered with unnormalized data, making it incredibly difficult to integrate and analyze information across various sources and systems. The absence of standardized data formats led to significant inconsistencies and inefficiencies in how trial information was processed and reported. This fragmentation not only slowed down data analysis but also posed substantial risks in data integrity and compliance. Sponsors were left with a system that was not only slow but often inaccurate, hindering effective decision-making and prolonging trial durations.

Solution

Solution

Kicking off the project, I conceptualized an initial dashboard design that aimed to repurpose existing data in a way that resonated with sponsor-specific terminologies and workflows. Collaborating closely with engineering, we mapped the existing data to new labels that were familiar to sponsors, ensuring the interface was intuitive and aligned with their daily operations. This initial concept evolved through several iterations after intensive sessions with subject matter experts, leading to our Alpha release. Following this, I spearheaded user and usability interviews with potential sponsors to gather feedback, which was instrumental in refining our approach for the Beta release. This iterative process ensured that the final product was not only technically sound but also user-centric and highly functional in real-world scenarios.

Kicking off the project, I conceptualized an initial dashboard design that aimed to repurpose existing data in a way that resonated with sponsor-specific terminologies and workflows. Collaborating closely with engineering, we mapped the existing data to new labels that were familiar to sponsors, ensuring the interface was intuitive and aligned with their daily operations. This initial concept evolved through several iterations after intensive sessions with subject matter experts, leading to our Alpha release. Following this, I spearheaded user and usability interviews with potential sponsors to gather feedback, which was instrumental in refining our approach for the Beta release. This iterative process ensured that the final product was not only technically sound but also user-centric and highly functional in real-world scenarios.

User Interviews & Testing

User Interviews & Testing

I had the opportunity to interview 6 high profile clients such as Moderna, Roche, Iliad, AOA, and more. In each session, I got to better understand their workflows while mapping their cases to specific dashboard and platform features. Additionally, documenting unmet needs as future opportunities to conduct further discovery.

User testing with Roche

User testing with Moderna

Outcome

Outcome

The dashboard garnered interest by industry leaders like Moderna, Iliad, Teal Health, Sarah Cannon Research Institute, and Regeneron in its Alpha phase.

The dashboard garnered interest by industry leaders like Moderna, Iliad, Teal Health, Sarah Cannon Research Institute, and Regeneron in its Alpha phase.

Work together, mentorship, or just want to chat?

Let's connect! I look forward to meeting you

histephtorres@gmail.com

Work together, mentorship, or just want to chat?

Let's connect! I look forward to meeting you

histephtorres@gmail.com

Work together, mentorship, or just want to chat?

Let's connect! I look forward to meeting you

histephtorres@gmail.com

Work together, mentorship, or just want to chat?

Let's connect! I look forward to meeting you

histephtorres@gmail.com