Clinical trials are more complex, data-rich, and quality-sensitive than ever. However, many organizations still rely on spreadsheet-based RACT tools that were never designed to support modern Risk-Based Quality Management (RBQM) or the expectations of ICH E6(R3).
The result is familiar: fragmented workflows, inconsistent scoring, weak traceability, and risk assessments that are difficult to defend under inspection. In practice, this means that what was intended as a structured risk process often becomes a documentation exercise rather than a decision system.
If your teams still manage RACT in Excel, you are likely carrying hidden operational and compliance costs that slow study start-up, increase decision-making variability, and introduce avoidable risk exposure. Our brief, The Cost of Spreadsheet-Based Risk Assessments, explains these challenges in detail.
Fragmented inputs and version chaos
In many organizations, spreadsheets circulate endlessly through email threads:
RACT_v1 → RACT_v1_final → RACT_final_definitely_final → RACT_v1_final_FINAL.
This version drift is not a cosmetic issue; it directly affects governance. Contributors overwrite each other’s input, updates get lost, and decisions become difficult to reconstruct. Over time, this undermines:
Data quality
Consistency in risk scoring
Cross-functional alignment
Regulatory confidence in your oversight process
Consequently, what should be a transparent decision process becomes fragmented and reactive rather than structured and proactive.
Slow collaboration and fragile formatting
Spreadsheets were never designed for controlled, multi-user collaboration. Formulas break, reviewers apply different definitions, and manual consolidation consumes valuable time.
Moreover, formatting inconsistencies create additional friction when teams attempt to align risk assessments across studies or portfolios — exactly the opposite of what ICH E6(R3) expects from a repeatable, governed process.
No reliable audit trail
A central expectation under ICH E6(R3) is decision traceability: the ability to explain why a risk was prioritized, when it changed, and who acted on it.
Excel cannot reliably provide:
Controlled change logs
Time-stamped updates
Role-based accountability
System-level version control
As a result, inspections become more burdensome, time-consuming, and unpredictable, particularly when regulators ask how oversight decisions evolved over time.
By contrast, a Digital RACT, such as the one embedded in the MyRBQM® Portal, transforms risk assessment from a static document into a governed process that aligns with both Quality by Design (QbD) and RBQM principles.
This shift is consistent with how we frame QbD in clinical trials: risks are designed out early, not managed reactively later.
Organizations using Digital RACT through the MyRBQM Portal typically achieve:
67% faster completion of risk assessments and study start-up
88% fewer risk-assessment-related regulatory findings
58% more complete identification of CtQ factors
These outcomes are not driven solely by automation. They reflect clearer governance, better alignment, and more consistent oversight decisions across trial teams.
Organizations using Digital RACT through the MyRBQM Portal typically achieve:
67% faster completion of risk assessments and study start-up
88% fewer risk-assessment-related regulatory findings
58% more complete identification of CtQ factors
These outcomes are not driven solely by automation. They reflect clearer governance, better alignment, and more consistent oversight decisions across trial teams.
A Digital RACT approach typically delivers:
Standardized, AI-assisted risk identification
AI supports structured identification of CtQ factors while keeping humans in control of decisions, aligned with your Responsible AI in RBQM positioning.
Built-in version control and full audit trail
Every update is time-stamped, attributable, and preserved, eliminating version confusion.
True cross-functional collaboration
Teams work in one shared environment instead of passing files back and forth.
Consistent scoring and controlled inputs
Probability, impact, and detectability are guided by standardized definitions, reducing variability.
Integrated mitigation tracking
Risks connect directly to owners, timelines, and follow-up actions, supporting continuous oversight.
One-click inspection-ready documentation
Outputs align with ICH E6(R3) expectations without manual reformatting or post-hoc justification.
In this model, Digital RACT does not replace expertise; it removes structural barriers between data, insight, and decision-making.
When RACT remains spreadsheet-based, RBQM often becomes a reporting exercise rather than an operating model. In contrast, Digital RACT embeds risk thinking into daily trial governance, which strengthens:
Defensibility under inspection
Consistency across studies
Portfolio-level oversight
Cross-functional accountability
This is why we position Digital RACT as a core enabler of risk-based quality management under ICH E6(R3), not simply a better tool.
If you want to understand the hidden operational and compliance costs of spreadsheet-based RACT — and how Digital RACT changes the equation — download:
👉 The Cost of Spreadsheet-Based Risk Assessments
This resource is particularly relevant for:
RBQM leaders
Clinical operations teams
QA and compliance functions
CRO partners
Anyone modernizing risk assessment processes
If your goal is to standardize, simplify, and accelerate risk assessment while strengthening ICH E6(R3) compliance, the MyRBQM Portal offers a governed, digital, and inspection-ready approach to RACT and RBQM.
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Quick Answers
Guest Speaker
Brian Barnes
BioNTech
Presented By
Dr. Johann Proeve
Cyntegrity
Presented By
Keith Doricott, MBB
Dorricott Metrics
Unlock AI-powered RBQM, understand its impact, and put it to work in your processes today.
Date
11 March 2026
