Prescriptions carry an error
Industry studies estimate roughly 5% of prescriptions contain a clinically relevant error — dosage, interaction, contraindication. Manual review samples only a fraction.
FOR SINGAPORE HOSPITAL CIOs & PHARMACY DIRECTORS
Cut medication errors with AI prescription review — built for Singapore compliance.
PDPA-compliant, MOH-aligned LLM that reviews 100% of prescriptions in real time, integrated with your HIS/EMR. 30-day PoC, single accountable contract.
PDPA & MOH-aligned
On-prem or SG-resident cloud
HIS/EMR integration ready
One contract, one SLA
THE PROBLEM
Why manual prescription review can't keep up.
Of scripts get a second human check
Pharmacy staffing simply doesn't scale to review every prescription end-to-end. The errors that slip through are exactly the ones a focused AI catches reliably.
Off-the-shelf AI doesn't know your formulary
Singapore drug naming, dosing conventions, and brand/generic mapping aren't in a global LLM's training. Localised knowledge is the difference between useful and dangerous.
THE SOLUTION
A medication safety layer that lives next to your EMR.
We deploy an LLM-powered prescription review service inside your environment, plus optional IoT for medication-room monitoring. It flags interactions, dosing, allergies, and duplications before the patient sees the medication.
Real-time clinical check on every script
- → Drug-drug, drug-allergy, drug-disease interactions
- → Dosage / frequency / route checks against local formulary
- → Therapeutic duplication and contraindications
- → Audit trail with model reasoning for clinical review
Optional ward-level monitoring
- → Medication storage temperature & access logging
- → Cold-chain alerts for refrigerated drugs
- → Cabinet open / dispense event tracking
- → Integrates with your existing facilities team's dashboards
THE 30-DAY POC
From kick-off to measurable result, in four weeks.
No production access required. We work in your non-prod environment with synthetic or de-identified data, with measurable acceptance criteria agreed upfront.
Discovery & scope
Lock acceptance criteria, integration points, sample dataset and signoff path.
Localised deployment
Stand up in your test environment, load Singapore formulary, integrate with EMR sandbox.
Pilot run
Process retrospective scripts, validate against pharmacist review, tune thresholds.
Readout & decision
Joint review of accuracy, false-positive rate, time-to-flag. Go / no-go on production rollout.
WHY LYNSUN
One accountable partner from contract to production.
PDPA & data residency
On-premise, hospital private cloud, or Singapore-resident hosting. Patient data never leaves your jurisdiction.
MOH-aligned governance
Audit logs, model reasoning capture, version control — built for clinical governance reviews from day one.
Single point of contact
One contract, one project manager, one SLA. We own the integration with our partner OEMs — you don't chase three vendors.
APAC presence
Hong Kong base, Singapore-active. On-the-ground support across Greater Bay Area & Southeast Asia, no time-zone gap.
PROCUREMENT-LEVEL FAQ
The questions your IT, pharmacy, and legal teams will ask.
Where does our patient data live during the PoC and after?
Default: stays inside your environment. PoC runs against synthetic or de-identified data in your non-prod. Production deployment options are on-premise, hospital private cloud, or Singapore-resident commercial cloud — your choice. No data is shipped outside Singapore unless you explicitly contract for it.
How does this integrate with our HIS/EMR?
HL7 v2 / FHIR connectors for the major systems. For systems without a clean API, we deploy a lightweight adapter that reads from the prescription order queue. Integration design is locked in PoC week 1 before any code is written.
What's the typical timeline from PoC to production?
Typical path: 30-day PoC → 6–10 weeks production deployment (depending on EMR complexity and clinical signoff cycles). Total 2.5 to 3.5 months from kickoff to live use.
Who owns the LLM — and what happens if the upstream model changes?
We deploy a version-pinned model in your environment. Upgrades go through a controlled change process with re-validation against your acceptance criteria. You're not exposed to silent upstream model changes.
What does training for clinical staff look like?
Two-tier program: a 1-hour clinical orientation for pharmacists and prescribers (focus on how to read flag reasoning), plus a half-day technical handover for your IT and informatics teams. Materials are reusable for ongoing onboarding.
What does pricing look like beyond the PoC?
Annual subscription based on prescription volume and deployment topology, plus one-time integration and training. We share indicative pricing in the discovery call so you can scope an internal budget early.
BOOK YOUR POC CALL
30 minutes. Walk away with a scoped pilot.
Tell us about your current prescription review process, EMR, and where errors hurt most. We'll come back within 1–2 business days with a concrete PoC outline — acceptance criteria, integration plan, timeline.
- ✓ No PII required. Synthetic data acceptable.
- ✓ NDA available before discovery call.
- ✓ Indicative pricing shared in first call.
Thanks. We've received your enquiry and will reply within 1–2 business days with a scoped PoC outline.