A missing assessment appears in the electronic data capture system. A monitor records a related finding in a visit report. The site receives a follow-up email. Someone adds the issue to a spreadsheet.
Each person has completed a task. Yet the study team still needs to answer a basic question: has the issue been resolved?
This example illustrates a challenge worth addressing in clinical trial operations. Information can exist in several places without giving the people responsible a clear picture of what needs to happen next.
Connecting those workflows starts with understanding how an issue moves from identification to resolution.
Start with the decisions that matter
A useful starting point is to identify which data and processes matter most to participant protection and reliable study results.
ICH E6(R3) emphasizes building quality into trial design and using an approach to quality management that reflects the risks and characteristics of the study. It encourages teams to focus on factors critical to quality.
For study teams, a practical application is to ask:
What information needs timely review?
Which missing or inconsistent records could affect an important decision?
Who needs to act when an issue appears?
What evidence will demonstrate that the action is complete?
These questions help define the workflow before a dashboard or notification is configured.
Give each issue a clear path to resolution
Consider a hypothetical missing primary endpoint assessment. Depending on the protocol and circumstances, the site may need to enter existing data, explain why the assessment was not performed, or provide clarification for review.
A connected workflow should make the next step visible. The issue needs an owner, an appropriate timeframe, supporting context, and a defined resolution.
“Email sent” records an activity. “Site response reviewed and accepted” describes an outcome.
Keeping that distinction clear helps teams understand whether an issue is awaiting a response, under review, or resolved.
Connect records while preserving their purpose
Clinical data, monitoring findings, and essential documents serve different purposes. Linking them should preserve those distinctions.
An electronic data capture system holds study data and queries. A monitoring workflow records findings and follow-up activities. An electronic trial master file holds essential records.
Where appropriate, a connection between these records can help a reviewer understand the full context without manually reconstructing it across systems.
That connection also needs boundaries. Access should reflect each person’s responsibilities, and sensitive information should be available only to authorized users.
Design dashboards around action
A dashboard should help its audience decide what to do next.
For example, a data manager may need to review aging queries affecting key assessments. A monitor may need to see unresolved findings before the next site visit. A study lead may need to identify issues that require escalation across functions.
Useful views could include:
Important issues awaiting review.
Overdue actions grouped by owner.
Repeated findings requiring broader investigation.
Recently resolved issues with supporting evidence.
Counts provide context. Clear priorities, ownership, and links to the underlying records make those counts useful.
Improve one workflow at a time
Connecting study operations does not have to begin with replacing every system.
Start with a recurring problem, such as missing assessments or unresolved monitoring actions. Map how it is identified, assigned, reviewed, escalated, and closed. Look for points where people re-enter information, lose context, or cannot tell who owns the next step.
Then improve that path and assess the result. Are fewer issues left without owners? Is less information being entered twice? Can reviewers more easily understand how an issue was resolved?
Technology can support these improvements, but the workflow still needs clear responsibilities and human judgment.
Make the next step visible
A well-connected study workflow helps a team answer four questions: what happened, why does it matter, who needs to act, and how will we know the action is complete?
When those answers are easy to find, study teams have a stronger foundation for timely oversight and consistent follow-through.
Looking to connect your clinical data and study operations? Talk to the Databean team about your workflows and technology needs.
Further reading
ICH E6(R3): Guideline for Good Clinical Practice (https://database.ich.org/sites/default/files/ICH_E6%28R3%29_Step4_FinalGuideline_2025_0106.pdf)