Solution

Literature Monitoring & Signal Detection

For pharmacovigilance, drug-safety and medical-affairs teams: PubMed, Embase and local journals screened at scale, with Day 0 criteria flagged on intake and every disposition logged for inspection.

PubMed abstractsEmbase recordsLocal journalsConference abstractsICSRs
Thousands of abstracts screened weeklyDay 0 criteria flagged on intake100% of dispositions logged for audit

The problem

Why this exists

Thousands

Keyword search buries reviewers

Weekly screening returns thousands of hits, most of them false positives, and qualified reviewers spend their hours discarding irrelevant articles instead of analyzing the ones that matter.

Duplicates

The same article, four databases

One publication appears in PubMed, Embase, a local journal index and a conference feed — and gets reviewed four times unless someone catches it.

Day 0

Backlog delays adverse-event reporting

Every day an ICSR candidate sits in a triage queue is a day against the regulatory clock, and the clock starts at first awareness.

The product, not a promise

A literature queue you can interrogate

Literature Monitoring & Signal Detection — workspace
Weekly screening run across PubMed, Embase and local journalsDeduplicatedcited
Articles classified: safety signal, efficacy data, or noiseRanked by severitycited
Patient-Drug-Event relationships extracted from full textCited to passagecited
Day 0 criteria detected — ICSR candidate routed to triageverify
Disposition log: search string, article, reviewer, decisionInspection-readycited
HUMAN-APPROVED BEFORE IT POSTS

How it works

File in. Answer out.

  1. 1

    Ingest

    Pulls abstracts and full texts from PubMed, Embase, local journals and conference sources on your search schedule.

  2. 2

    Deduplicate

    Matches the same article across databases so reviewers see it once, not four times.

  3. 3

    Classify

    Scores each article for relevance and separates safety signals from efficacy data and noise.

  4. 4

    Extract

    Pulls Patient-Drug-Event relationships and flags Day 0 criteria for ICSR triage.

  5. 5

    Review

    Routes ranked candidates to reviewers; every disposition is logged for inspection.

Who it's for

Built for the people who own the outcome

Safety reviewer

Review the queue that matters, in severity order.

  • High-severity candidates surface first instead of drowning in false positives
  • Each article arrives classified, with extracted relationships cited to the passage
  • One-click verification of the evidence behind every flag

PV operations lead

Coverage grows without headcount.

  • Add a therapeutic area, a local journal or a new source — the agents cover it on the next cycle
  • Day 0 candidates move to triage the day they appear
  • Safety, clinical and medical writing work from one shared repository of findings

QA & inspection readiness

The audit answers itself.

  • Which searches ran, what was retrieved, how each article was dispositioned — all on record
  • Every safety-relevant call approved by a human, and logged as such
  • No article auto-dispositioned into silence
PharmaBiotechGenericsMedical devicesCROsConsumer health
Thousandsof abstracts screened weekly
Day 0criteria flagged on intake
100%dispositions logged for audit
Human-approvedevery safety decision

Literature surveillance breaks at volume. Teams screen thousands of abstracts a week across PubMed, Embase and local journals, and keyword search buries them in false positives. Reviewers spend their hours discarding irrelevant articles instead of analyzing the ones that matter — and every day of triage backlog is a day an adverse event goes unreported.

From keyword matching to biomedical context

Botminds agents read the literature the way a trained reviewer does. They ingest from subscription databases, conference abstracts and open-web sources, deduplicate records that appear in more than one database, and classify each article by what it actually contains: a valid safety signal, efficacy data, or noise. Entity recognition and relevance scoring rank the queue so high-severity candidates surface first. The agent extracts Patient-Drug-Event relationships and highlights Day 0 criteria, so ICSR candidates move to triage the day they appear — before a backlog forms, and well before one clears.

The same pipeline extends without new headcount: add a therapeutic area, a local journal or a new source, and the agents cover it on the next cycle.

Built for inspection

Pharmacovigilance is a document-to-decision operation, and regulators audit the decisions. The platform keeps the complete trail: which search strings ran, which articles were retrieved, how each was classified, who reviewed it and what they decided. Every extracted relationship is cited to the passage it came from, so a reviewer — or an inspector — can check the evidence in one click. Nothing is auto-dispositioned into silence: reviewers approve every safety-relevant call, and the system records that they did.

Safety, clinical development and medical writing teams work from one shared repository of validated findings instead of parallel spreadsheets — the same article, the same disposition, the same evidence, everywhere it is needed.

Objections, answered

What teams ask us first

Can I trust a machine to screen safety literature?

The machine screens; humans decide. Every classification is checkable — extracted Patient-Drug-Event relationships are cited to the passage they came from — and every safety-relevant disposition requires reviewer approval, which is logged. Nothing is silently discarded.

We run validated search strategies under our own SOPs. Does that fit?

Yes. The agents run your search strings on your schedule against your sources, and the workflow follows your SOP: your relevance criteria, your triage rules, your reviewer roles. The platform executes the strategy; it doesn't replace it.

Will this stand up in an inspection?

The complete trail is kept by design: which searches ran, which articles were retrieved, how each was classified, who reviewed it and what they decided. An inspector can walk from any disposition back to the source passage in one click.

How long to cover our products and sources?

Weeks. The solution is pre-built; configuration is your product list, search strategies and sources. Extending coverage later — a new therapeutic area, a new local journal — is a configuration change, picked up on the next screening cycle.

Bring a week of screening volume.

Watch it deduplicated, classified and ranked with Day 0 candidates flagged — live, on your search strategy.

Request a demo