Manual Screening vs DrugCard Screening
A clearer way to compare the manual literature
screening with automated PV screening
Literature screening is one of those
pharmacovigilance activities that looks simple from the outside, until your team has to do it every week, across multiple products, journals, countries, and languages.
Manual screening vs DrugCard screening: quick comparison
time-consuming review, repetitive checks, inconsistent keyword detection, difficult
documentation, and a heavy reliance on individual focus. DrugCard was built to reduce that burden. Not by removing PV experts from the process, but by helping them screen faster, document better, and focus their attention where human judgment matters most.
Manual screening vs DrugCard screening
See how DrugCard helps PV teams reduce routine screening time, improve consistency, and keep literature monitoring audit-ready by default.
| Area | Manual screening | DrugCard screening |
|---|---|---|
| 1. Screening speed From slow manual review to faster article processing | Manual literature screening takes around 15 minutes per article, depending on article length, language, and internal workflow. | With DrugCard-assisted screening, review time is reduced to around 1.5 minutes per article, helping PV teams process literature faster while keeping expert control. |
| 2. Keyword detection Helping reviewers avoid missed product mentions | Manual reviewers can usually detect around 90–100% of relevant keyword mentions, but the result may still depend on workload, fatigue, article structure, language, and where the keyword appears. | DrugCard detects 100% of configured keyword matches, including mentions that may appear in less obvious places such as notes, tables, or reference lists. Visual highlighting helps reviewers navigate these matches faster, although display may depend on the quality and structure of the original source file. |
| 3. Audit readiness / documentation Clear evidence when inspectors ask for proof | In manual workflows, evidence is often scattered across Excel files, screenshots, folders, emails, manual notes, and separate trackers. This makes audit preparation time-consuming, even when the work was done correctly. | DrugCard keeps screening actions, categorizations, notes, users, and timestamps documented in one platform, creating a clear audit trail that is easier to present during inspections. |
| 4. Human factor Reducing repetitive work and reviewer fatigue | Manual screening is repetitive and often mentally draining, especially when PV teams spend 1–2 working days per week reading journals and documenting results. Over time, this can reduce motivation and increase the risk of missed details. | DrugCard reduces routine reading and tracking. In many workflows, this can turn 1–2 days of weekly screening into around half a day, depending on the number of products, journals, countries, and internal review requirements. |
| 5. Structured process One workflow instead of scattered files and screenshots | Manual screening often becomes fragmented: one file for tracking, another folder for evidence, separate screenshots, emails, QC notes, and individual reviewer records. Over time, this makes the process harder to manage and explain. | DrugCard brings literature results, keyword matches, categorization, notes, QC actions, and audit trail records into one structured workflow. |
Manual literature screening takes around 15 minutes per article, depending on article length, language, and internal workflow.
With DrugCard-assisted screening, review time is reduced to around 1.5 minutes per article, helping PV teams process literature faster while keeping expert control.
Manual reviewers can usually detect around 90–100% of relevant keyword mentions, but the result may still depend on workload, fatigue, article structure, language, and where the keyword appears.
DrugCard detects 100% of configured keyword matches, including mentions that may appear in less obvious places such as notes, tables, or reference lists. Visual highlighting helps reviewers navigate these matches faster, although display may depend on the quality and structure of the original source file.
In manual workflows, evidence is often scattered across Excel files, screenshots, folders, emails, manual notes, and separate trackers. This makes audit preparation time-consuming, even when the work was done correctly.
DrugCard keeps screening actions, categorizations, notes, users, and timestamps documented in one platform, creating a clear audit trail that is easier to present during inspections.
Manual screening is repetitive and often mentally draining, especially when PV teams spend 1–2 working days per week reading journals and documenting results. Over time, this can reduce motivation and increase the risk of missed details.
DrugCard reduces routine reading and tracking. In many workflows, this can turn 1–2 days of weekly screening into around half a day, depending on the number of products, journals, countries, and internal review requirements.
Manual screening often becomes fragmented: one file for tracking, another folder for evidence, separate screenshots, emails, QC notes, and individual reviewer records. Over time, this makes the process harder to manage and explain.
DrugCard brings literature results, keyword matches, categorization, notes, QC actions, and audit trail records into one structured workflow.
Automation should support PV experts, not replace them
Manual literature screening depends on people doing repetitive work perfectly, every week, without fatigue, missed details, or documentation gaps. DrugCard takes a different approach. The platform automates the repetitive parts
of literature monitoring, highlights relevant keyword matches, keeps the process documented, and gives PV teams a clearer, faster, and more audit-ready
workflow. The result is not just faster screening. It is more consistent monitoring,
better documentation, less routine pressure on PV teams, and more time for the work that truly requires expert judgment.
platform features.