Data Quality And Monitoring In Clinical Trials: Reducing Errors And Ensuring Compliance

Rich Wzorek, Director, New Products & Services | Almac Clinical Technologies and Mark Dickinson, Technical Manager, New Products & Services | Almac Clinical Technologies

Capturing accurate, usable source data is one of the most demanding parts of running a clinical trial, especially as sites juggle multiple disconnected systems to serve both patient care and trial requirements. When data must be manually transcribed between systems, the risk of error grows—sometimes with consequences as serious as an incorrect dosing calculation. Well-integrated, validated technology reduces this reliance on manual processes, allowing site users to focus their attention where it matters most rather than on repetitive data entry and reconciliation.

Just as important as the technology itself is clarity around data ownership: knowing which system holds the source of truth, how data is validated, and how a single event ripples across dashboards, reports, and other connected systems. Purpose-built reporting tools that reflect these realities reduce exceptions, minimize back-and-forth validation, and ease the burden on site staff. For sites and sponsors alike, resolving these data ownership and workflow questions early is key to maintaining data integrity while keeping site teams focused on delivering quality care.