Biotechnology AI agent · Drug safety

Pharmacovigilance Case-Processing AI Agent

Take a case from the agreed sources, check the validity elements, find duplicates, code the verbatim terms and draft the narrative — the clock runs from day zero and a safety physician assesses it.

Typical delivery
4–6 weeks
Deployment
Your stack
Case assessment
Physician only
After launch
Agent Care

What this agent does

Builds the case, does not assess it

In

  1. 01

    Take the case in from the agreed sources — the mailbox, portal, partner, literature or site channels in scope.

  2. 02

    Stamp the moment the organisation first held the minimum information, and count day zero from that point.

Reason

  1. 03

    Search the safety database on patient, product, event and dates, and list the cases this one may already be.

  2. 04

    Code the reporter's verbatim terms to MedDRA, keeping the words as written beside every term selected.

  3. 05

    Check the four validity elements — reporter, patient, suspect product, event — and name the one that is missing.

Decide

  1. 06

    Mark what only a safety physician rules on: causality, seriousness, expectedness and whether the case is reportable.

  2. 07

    Hold a thin, contradictory or unmatched case for the case processing lead rather than filling the gap itself.

Out

  1. 08

    Draft the narrative in the order your convention sets, and draft the follow-up questions that would close the gaps.

  2. 09

    Retain the source document, the receipt date, the duplicate search run, each coded term and every reviewer change.

Product statement

The agent takes in, searches, codes and drafts. Causality, seriousness, expectedness, whether a case is valid and whether it is submitted stay with a qualified safety physician and your case processing lead.

Example workflow

One case, end to end

  1. 1Case receivedWhichever of the agreed sources is in scope — mailbox, portal, partner exchange, literature screening or a study site
  2. 2Day zero stampedThe moment anyone in the organisation first held the minimum information, recorded before anything else runs
  3. 3Duplicate searchedThe safety database searched on patient, product, event and dates, so a follow-up joins the case it belongs to
  4. 4Coded and draftedVerbatim terms coded to MedDRA beside the reporter's own words, then the narrative and the follow-up questions

No human action required

Stages 1 to 4 run without a person in the loop — receipt, the duplicate search, the coding and the draft finish before a reviewer opens anything. The clock is running through all four.

5DecisionSplits on the validity elements and coding confidence
Elements present, terms matched

Reaches the physician's queue ready to assess.

Element missing or coding unclear

Held with the gap named, and the clock still running.

Safety physician and case lead

The physician assesses causality, seriousness and expectedness; the case processing lead settles what the case is and whether it goes.

Physician assesses · Correct the coding · Ask for follow-up

Assessed — handed back

  1. 6Case handed to reviewWritten to the safety database only where write access and policy allow; the assessment fields stay empty
  2. 7Outcome evaluatedCoding agreement, duplicate recall, narrative edits, follow-up yield and the clock spent before a physician opened it

Corrections

Every term the physician recodes is counted in the evaluation.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required

8 items

  • Determining causality, seriousness or expectedness.
    • Deciding a case is not valid.
    • Deciding a case is not reportable.
    • Submitting an ICSR to an authority or partner.
  • Automation boundary

    Agent acts unaided

    • ✓Take the case in, stamp day zero and check the four elements.
    • ✓Search the safety database and list the cases this one may already be.
    • ✓Code the reporter's verbatim terms to MedDRA.
    • ✓Draft the narrative and the follow-up questions.

    Write actions run only inside the approval boundaries agreed during implementation. ICSR submission is not among them.

    • Closing a case or nullifying a submitted one.
    • Contacting a patient or reporter on the company's behalf.
    • Downgrading a consumer's report to a non-reaction.
  • Changing coding conventions or duplicate-match rules.

Example output

One case, annotated

Everything the agent proposes stays attached to the source document it was read from.

Case-processing output · single case

Illustrative example
Reporter said
Rash, then felt faint
Source
Call centre, consumer
Day zero
First receipt
Element missing
Identifiable patient
Confidence
92%
Seriousness
Not set by the agent

As received

The reporter's own words, the channel they came in on and the moment the organisation first held them.

Evidence used

  • Call record, verbatim
  • No database match found
  • Consumer, not confirmed

Why it is held

One of the four elements is not there. The agent names which one, and the clock runs on.

What the score decides

Confidence says how much coding a reviewer re-reads, not whether the case is serious.

Action

Physician assessesCorrect the codingAsk for follow-up

Value

Where AI adds value

The same four claims, placed at the point in the workflow where each one applies.

Where the value lands

Value 01 – 04

Every case received

Call centre, literature, partner or study site

03Intake & coding

Work to your own conventions

Use the coding conventions, duplicate rules, narrative order and follow-up forms your safety system already runs on.

01Approved path

Give the physician back the clock

Receipt, the duplicate search, the coding and the draft are done before the queue opens, so the assessment starts nearer day zero than the deadline.

02Human review

Send up what will not resolve

A missing validity element, an unmatched duplicate candidate or a verbatim term that will not code reaches the case processing lead as a named gap.

04

Build an evidence trail

Retain the source document, the receipt date, the duplicate search run, each coded term against its verbatim, the confidence and every physician correction — on both paths.

Integrations

Typical integrations

Five system groups connect to the same agent. Which of them are in scope is decided in discovery.

  • Safety databases

    • Oracle Argus
    • ArisGlobal LifeSphere
    • Veeva Vault Safety
    • in-house builds
  • Case intake channels

    • Call centre
    • safety mailbox
    • web forms
    • Portals
    • medical information
  • Sources & exchange

    • Embase
    • Medline
    • journal screening
    • Partner exchange
    • study safety feeds

Agent

Pharmacovigilance case processing

  • Takes the case in
  • Searches for duplicates
  • Codes and drafts
  • Coding & reference

    • MedDRA
    • WHODrug
    • dictionaries
    • Core safety information
    • labelling
  • Observability & evaluation

    • OpenTelemetry
    • Langfuse
    • Supported monitoring/evaluation sources

Integration availability depends on the client's existing systems and API access.

Agent controls

Six layers between the model and the safety database

Each control wraps the one inside it. A case clears every layer before a reviewer opens it, and a change to any rule inside them goes through your change control.

L6 · Outermost — last line of defence

Inward → L1 · closest to the model

L6Rollback / safe modeReturn case processing to your team if evaluations or production signals degrade.Roll back
L5TraceabilityRecord the source, the search run, each term against its verbatim, the action and the reviewer changes.Record
L4Day-zero clockDay zero is read from the source's own receipt evidence; where it cannot be, the case is held.Stamp
L3Physician gateCausality, seriousness, expectedness, validity and submission stay with named people.Gate
L2Duplicate searchCases are searched against the database first; candidates are listed, never merged, and a search that cannot run holds the case.Search
L1Validity and verbatimEach coded term is bound to the wording it came from, and a missing element is named.Bind
Model coreCase draft proposed — elements checked, duplicate candidates, coded terms, narrative and confidence
L1 – L2
Keep the case tied to what was reported
L3
Decides what only a physician may settle
L4 – L5
Stamp day zero from the source, and record the trail
L6
Pulls automation back when signals degrade

How Nestack evaluates it

Evaluate the whole case — not only the terms that were coded.

Coverage runs the whole depth of the workflow, and every layer is cut by slice.

Surface — the case a safety physician opens

  1. E1Coding agreementDo the selected terms match what your own coders select from the same verbatim?
  2. E2Validity-element recallWas a missing element found, and was a present one ever called missing?
  3. E3Duplicate detectionDid the search find the existing case, and how many false matches did it put up?
  4. E4Narrative faithfulnessDoes the narrative state what the source says, in the order your convention sets?
  5. E5Clock accountingWas day zero right, and how much of the window had gone before review?
  6. E6Slice evaluationHow does case quality change across sources, languages and populations?

Floor — the report a named person submits and answers for

Failure modes

Where each failure originates in the agent

Seven failure modes plotted against the five stages of the agent lifecycle. Under-reporting and over-reporting are both harms, and both start on this map.

Agent lifecycle

Direction of processing →

  1. 01 · Intake / receipt

    2 modes

    • PV-01

      Day zero recorded late

      The clock starts at data entry, not at first receipt.

    • PV-02

      Case missed at intake

      A report in a shared mailbox is never opened as a case.

    Stage receives

    The source document, the channel and the day-zero date

  2. 02 · Duplicate search

    1 mode

    • PV-03

      Duplicate entered as new

      A follow-up becomes a second case, and the aggregate moves with it.

    Stage searches

    The safety database for the same patient and event

  3. 03 · Coding

    1 mode

    • PV-04

      Verbatim coded too general

      A term one level up drops the case below the seriousness threshold.

    Stage codes

    Verbatim terms to MedDRA, with the wording kept

  4. 04 · Draft / write

    2 modes

    • PV-05

      Narrative outruns the source

      An inference no reporter made is written into the case.

    • PV-06

      Follow-up question never put

      The gap that would complete the case is drafted and left.

    Stage drafts

    Only where write access and approval policy allow it

  5. 05 · Change / Version

    1 mode

    • PV-07

      Silent convention change

      A coding-convention update shifts term selection unnoticed.

    Stage tracks

    Model, prompt, convention and match-rule changes

  • Sev-1 · the case reports late, or not at all
  • Sev-2 · the case and the aggregate carry it
  • Sev-3 · the case stays thin, review grows
See the complete Biotechnology failure-mode catalogue

Affected slices

Where a case arrives from decides how hard it is

Both harms sit in one number here: a term pushed too general, and a case held that needed no holding. It counts cases re-coded, re-matched or sent back before a physician could assess them, cut by source.

Slice performance — reported separately, not only in aggregate

Illustrative example
SliceFailure rateLiftLift vs. thresholdStatus
Non-English source documents5.9%3.8×Review
Consumer reports, no confirmation4.5%2.9×Review
Literature cases, abstract only2.8%1.8×Watch
Routine follow-up on open cases1.1%0.7×Normal

Bar: reworked-case lift vs. routine follow-up baseline · scale 0–4.0× · tick at the 2.0× threshold

2 of 4 slices over threshold

Evidence-linked improvement

One case corrected by hand teaches nothing on its own

What a physician recoded or rewrote points at a convention, a match rule or a narrative order. That is where the change goes, before the next case.

Improvement cycle · five stages

Switchback — the path turns at Improve and returns at Learn

  1. 01

    Detect

    Recoding, rematching or send-backs rise in one case source.

  2. 02

    Diagnose

    The reporter's own words are the reference; the case is read to them.

  3. 03

    Improve

    The convention, match rule or narrative order changes with a named approver.

  4. 04

    Verify

    Held-out cases from that source are processed again, the failures among them.

  5. 05

    Learn

    The case is kept as a test, and the convention carries what the physician wrote.

  6. Learn → Detect

    The return edge. A change here is a change to a validated safety system — assessed, approved by a named person and recorded before any case is processed against it.

Typical build scope

Twelve workstreams across six weeks

The build scope read against the delivery timeline. Week structure follows the six-week plan — discovery, intake and the clock, duplicates and coding, evaluation, review workflow, then production validation and handover.

Workstream

Week 1Week 2Week 3Week 4Week 5Week 6

  1. 01Workflow discovery and automation-boundary definition.Week 1
  2. 02Day-zero rules and clock accounting.Week 1, Week 2
  3. 03Safety-database and intake assessment.Week 1, Week 2
  4. 04Case intake from the agreed sources.Week 2
  5. 05Duplicate search and match rules.Week 2, Week 3
  6. 06MedDRA coding to your own conventions.Week 3
  7. 07Validity-element checks and gap naming.Week 3, Week 4
  8. 08Narrative and follow-up drafting templates.Week 4
  9. 09Coding-agreement and duplicate-recall evaluation.Week 4, Week 5
  10. 10Physician and case-lead review workflow.Week 5
  11. 11Safety-database write-back and audit trail.Week 5, Week 6
  12. 12Observability, deployment and Agent Care handover.Week 6

12 workstreams · 6 weeks · bar shows the weeks a workstream is active — several run in parallel

Final scope and sequence confirmed in discovery

Engagement tiers

What each tier includes

Rows are the capabilities named in each tier's scope. Higher tiers include everything below them.

Capability✓ in scope · — not at this tierPilotOne product, one sourceProductionProduction safety-database linkAdvancedMulti-product / multi-source
Introduced at Pilot
Case intake and day-zero stamping✓✓✓
Duplicate search and candidate list✓✓✓
MedDRA coding with the verbatim kept✓✓✓
Validity-element check and gap naming✓✓✓
Narrative and follow-up drafts✓✓✓
Assessment by a safety physician✓✓✓
Traceability and baseline evaluation✓✓✓
Introduced at Production
Additional intake channels and sources—✓✓
Safety-database write-back and observability—✓✓
Introduced at Advanced
Partner exchange and multi-language intake——✓
Multi-product and enterprise controls——✓
Build priceFrom $5,000From $8,000Custom quote
Final build price
Confirmed after discovery based on products and sources in scope, safety-database and intake integrations, case volume, coding conventions, review controls and deployment requirements.
Separate from build
Build pricing is separate from recurring Agent Care, which covers managed monitoring, evaluations, incidents and verified improvements after launch.

What we need from you

What you bring, and what we build with it

Each input maps to a piece of build scope and a week in the delivery timeline.

  1. 01Your day-zero rule and who counts as first receipt

    Day-zero rules and clock accounting, agreed with QA

    Week 1
  2. 02The sources cases actually reach you from

    Case intake from the agreed sources

    Week 2
  3. 03Access to the safety database and intake channels

    Safety-database and intake-channel assessment

    Week 2
  4. 04Cases you know are duplicates, and pairs you decided were not

    Duplicate search and match rules

    Week 3
  5. 05Your coding conventions and the terms your coders argue about

    MedDRA coding to your own conventions

    Week 3
  6. 06Cases that went wrong, including the ones that went late

    Coding-agreement and duplicate-recall evaluation

    Week 4
  7. 07Named safety physicians and a case processing lead

    Physician and case-lead review workflow, then supervised cases

    Weeks 5–6

Nothing else is required

Deployment, documentation and Agent Care handover are ours.

Delivery timeline

Four phases across six weeks

Phases are drawn over the weeks they actually occupy. Week 5 carries both the coding-agreement evaluation and the first cases worked under supervision.

Phase

W1

W2

W3

W4

W5

W6

  1. DiscoveryW1
  2. BuildW2 – W3
  3. EvaluateW4 – W5
  4. Pilot & LaunchW5 – W6

Week focus

W1Day zero, the boundary and what only a physician settles

W2Intake on the first sources and safety-database access

W3Duplicate search, MedDRA coding and the drafting templates

W4Coding agreement, duplicate recall and clock accounting

W5Supervised cases, write-back and targeted corrections

W6Physicians assess from agent-built cases, then Agent Care

Reading the band
Each bar covers the weeks its work is named in, and no more. Day zero is settled in week 1, and the clock figures reported later are only as honest as that definition.
At the end of W6
A safety physician has assessed cases built this way and can tell you whether the clock moved. Conventions, match rules and clock reporting go to Agent Care.
Duration
Six-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Biotechnology AI agent

Build a case-processing agent around the safety system you already run.

Show us one product, the sources cases reach you from and how a case gets to your safety physician today. Ask your team when day zero was for the last five cases, and see how many different answers come back. That number, not the coding, decides whether the rest of this is worth building for you.

Typical delivery
4–6 weeks
Deployment
Your safety stack
Case assessment
Safety physician, always
After launch
Agent Care available

Nestack Agents · Pharmacovigilance case processing

AGT-BT-06 · Agent Care available after launch

Build a case-processing agent

Four questions so the call starts from your actual setup — then pick a time that suits you.

About you
Your setup

No obligation. We’ll map the workflow, name the automation boundary and tell you if an agent is the wrong answer.