PharmacoWatch AI™

Predictive Adverse Event Prevention

MARKET GAP

A Deadly Gap in
Medication Safety

Medication errors are a silent killer—causing over 250,000 preventable deaths every year in the US alone. Current medication safety systems are alarmingly reactive, issuing alerts only after dangerous interactions or adverse events begin. Clinicians are left with incomplete risk signals and little time to intervene. This outdated approach drains healthcare resources and fails to protect patients when it matters most.

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SOLUTION

Predicting Adverse Drug Events Before They Strike

PharmacoWatch AI™ transforms medication safety by shifting from reaction to prevention. By analyzing real-time patient vitals, genomic data, medication history, and biomarkers, PharmacoWatch predicts adverse drug events (ADEs) up to 72 hours before they happen. This proactive, multi-modal AI system enables clinicians to intervene early—saving lives, improving care quality, and reducing treatment costs.

In an era where preventable harm is unacceptable, PharmacoWatch AI™ redefines patient safety.

Game-Changing Value

Unmatched Impact. Unrivaled Efficiency.

Unmatched Prevention Rate

PharmacoWatch reduces preventable adverse drug events by 85%, safeguarding patients before risk escalates.

Massive Market Opportunity

With a $4.7 billion addressable market in medication safety, PharmacoWatch drives both clinical and financial impact.

72-Hour Early Warnings

Proactively flags ADE risks three days in advance—a game-changer versus traditional post-event alerts.

Proven Financial ROI

Hospitals save up to $12 million annually per system by preventing ADE-related complications and readmissions.

TECHNOLOGY STACK

Powering Clinical Intelligence wit
Cutting-Edge Tech Stack

Sample Data Sources

Grounded in Real-World, High-Fidelity Clinical Data

FDA Adverse Event Reporting System (FAERS)

Massive repository of post-marketing drug safety reports for robust AI model training.

eICU Collaborative Research Database

Extensive ICU patient data integrating vitals, lab results, and medication records for real-world validation.

UK Biobank Genomics Dataset

Comprehensive genetic data enabling pharmacogenomic insights into individual drug responses.

Why This Beats Existing Tools

PharmacoWatch AI™ vs. Traditional Medication Safety Platforms

Against Epic’s Medication Management

Predictive, Not Reactive

While Epic alerts after adverse interactions, PharmacoWatch predicts ADEs 72 hours before onset.

Genomics Included

Epic overlooks genetic risk factors—PharmacoWatch integrates pharmacogenomics for true precision medicine.

Continuous Monitoring

Epic delivers static, one-time alerts. PharmacoWatch offers continuous real-time risk scoring

Patient-Specific Dosing

Epic’s standard dosing ignores individual variability—PharmacoWatch delivers personalized dosing recommendations.

Against Oracle Health (Cerner) Medication Safety

AI-Powered Intelligence

Cerner’s rule-based logic is outdated—PharmacoWatch applies machine learning across 50M+ medication histories.

Multi-Modal Risk Analysis

Cerner focuses solely on drug interactions—PharmacoWatch assesses genetics, vitals, comorbidities, and environmental factors.

Personalized Care

Cerner applies one-size-fits-all protocols. PharmacoWatch delivers customized risk profiles for every patient.