Prescription
​errors
​happen
every
two seconds

2 in 5
patients
are harmed
while receiving
​healthcare

Errors in the Medication Process

Made by Front-Line
​for Front-Line

Real-Time
​Protection

Offline
​Reporting

12X Better than the Others

Clinical studies have shown MedGuard alerts to be accepted at a rate 12 times higher than similar systems. MedGuard has been deployed in multiple hospitals and checks more than 1.5 million prescriptions so far.

MedGuard Defense
Prevent Errors Before They Happen

*Product images are made for illustration purposes only and may differ from the actual product.
*Follow FHIR and CDS Hooks compliance

Diagnosis and Medication Advice

MedGuard detects potential errors in prescriptions and provides optimal recommendations from multiple (department and hospital-wise) perspectives based on the patient’s diagnoses, age, and gender. It runs in the background and offers real-time decision support when a medication order is entered to not interfere unnecessarily with the clinical consultation process.​

3.2B Prescription Database

Built on the world's largest prescription database, 3.2 billion well-coded prescriptions and 2.4 billion association rules, MedGuard supports medication decision-making by analyzing explicit and tacit knowledge and clinical behaviors from doctors.
​

​Dual
​AI ​Engine

Powered by a dual artificial intelligence engine containing customized medication safety algorithms, MedGuard enables continuous self-improvement to reduce alert fatigue and provide better suggestions.

Enabling Adaptive Management

To support the needs of each hospital department, MedGuard provides real-time analysis and radar reports of medication safety. These reports support diverse needs from medical, pharmacy, and management teams. It is easy to generate with a single click in the dashboard.

​Medguard Radar
A Tiny Clue Reveals a General Trend

​► Top 10 Medications with the Most Alerts
​► Top 10 High Cost Medications

► Top 10 Incorrect Dosage Alerts
► The Most Alarming Cases

*Product images are for illustration purposes only and may differ from the actual product.

FDA
​Clearance

The first medical AI for medication error cleared by FDA in 2019.

​

​Rapid
​Deployment

AESOP uses modern software engineering methods to deliver high flexibility and integration options and is now available on EPIC App Orchard. MedGuard can be fully deployed by hooking into APIs or deployed in one day using a plugin installation on individual workstations to support small-scale rollouts and large-scale implementation.

​Satisfaction
​Guarantee

AESOP is dedicated to supporting our customers to deliver high-value healthcare. We provide a strong satisfaction guarantee that is best-in-class for the CDSS industry. If you are not satisfied with MedGuard, you may cancel your subscription at any time.​

I think AI and machine learning are exceptionally exciting tools for improving care in general, but it for improving patient safety in particular. I’m very excited about AESOP and what AESOP is doing in this area.
​

​​​Dr. David Bates
Chief
Division of General Internal Medicine and Primary Care
Brigham & Women's Hospital
Professor of Medicine
Harvard Medical School
Internationally Renowned Expert in Patient Safety

We’re living in an exciting time. We now have more data because of the EHRs that we’ve installed across the country in the world. Yet we’ve not built tools that allow us to harvest that data. AI and machine learning provide new opportunities to improve medication safety. Approaches like AESOP will allow us to understand multiple drug interactions as well as age and drug interactions, and diagnosis and age interactions, so that we can improve medication safety for all of our citizens. ​
​

Prof. Charles Safran
Chief
​Harvard Medical School
Division of Clinical Informatics
Beth Israel Deaconess Medical Center

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In the light of increasing complexity of healthcare and the aging population, there is a very clear trend that there are more medical errors happening every day. Tools that our offer by companies like AESOP provide us a way to tackle this serious worldwide problem with innovative AI tools. We are very hopeful that in the future AI is going to help us reduce error and improve patient safety significantly.
​

Dr. Yu-Chuan Jack Li
Distinguished Professor
College of Medical Science and Technology
​Taipei Medical University
Chief & Dermatologist
Taipei Municipal Wanfang Hospital
President-Elect
​International Medical Informatics Association

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