Medication safety grounded in evidence, not heuristics
125,000 adverse drug event deaths per year in the US. Polypharmacy patients face interaction complexity that no static database can capture. Skippy Med-Check grounds medication safety in real pharmacology evidence — interactions, adverse event signals, and pharmacogenomics in one API.
What Med-Check does
Drug-drug interaction analysis
Mechanistic and pharmacokinetic interactions grounded in ChEMBL pharmacology data and RxNorm normalization. Not static tables — evidence-based interaction profiles with confidence scoring.
Adverse event attribution
Side effect signals grounded in FDA FAERS adverse event reports and OnSIDES label-derived data. Distinguishes pharmacologically plausible signals from noise — with source citation.
Pharmacogenomics
CYP450 metabolizer status and CPIC-guideline drug-gene interactions. Dose adjustment recommendations are cited to specific CPIC guidelines and pharmacogene evidence.
Polypharmacy analysis
Multi-drug regimen analysis for patients on complex medication protocols. Returns ranked interactions by severity, with evidence grounding for each — built for populations on 10+ medications.
What a patient actually gets
| Patient question | Legacy tools | Skippy Med-Check |
|---|---|---|
| Can I take ibuprofen with warfarin? | "Major interaction — do not use" | CYP2C9 inhibition + protein binding displacement → bleeding risk. Safer alternative: acetaminophen (cited to mechanism evidence). |
| Why am I gaining weight on this antidepressant? | Lists weight gain as a side effect | H1 receptor blockade causes appetite increase. Alternatives with lower weight-gain profile ranked by evidence. |
| My CYP2D6 test says I'm a poor metabolizer — what does that mean? | Not available | Codeine can't be converted to morphine → won't work AND carries toxicity risk. CPIC-cited alternatives with dosing guidance. |
| I take 7 medications — any dangerous combinations? | Pairwise checks only | Full combinatorial analysis with interactions ranked by severity, mechanism explained, and safer alternatives cited. |
Plans, pharmacists, and app developers
FDA-grounded, CPIC-cited
Every adverse event signal is grounded in FDA FAERS data with explicit source citation. Pharmacogenomics recommendations cite specific CPIC guidelines — making every recommendation independently verifiable.
HIPAA-ready with BAA available. Each medication safety query generates an immutable audit record with all sources, confidence scores, and rationale — suitable for clinical documentation.
RxNorm normalized inputs enable integration with existing EHR and pharmacy systems without data transformation layers.
See Med-Check in your workflow
We work with health plans, PBMs, pharmacy teams, and consumer health developers. Let's talk about your medication safety problem.