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.

First Defense
Prevent Errors Before They Happen

​The World's Largest Prescription Database

Built on the world's largest prescription database,1.3 billion well-coded prescriptions were used to generate 2.4 billion association rules. MedGuard provides deep knowledge by connecting the explicit and tacit clinical behavior of thousands of doctors, and is constantly updated and expanded.
​

Diagnosis and Medication Advice

MedGuard can detect suspicious prescriptions and provide optimal recommendations from multiple (department and hospital-wise) perspectives based on the patient’s diagnoses, age, and gender. It runs in the background and provides real-time alerts at the time a prescription is input, to not interfere unnecessarily with the clinical consultation process.
​

​Dual
​AI ​Engine

Powered by a dual artificial intelligence engine that contains probability models, reinforcement learning, and customized medication safety algorithms. The model enables continuous self-improvement to reduce alert fatigue and provide better and better suggestions.

Enabling Adaptive Management

To respond to the priorities of each hospital department, MedGuard provides real-time analysis and radar reports of medication safety. These reports integrate diverse needs from medical, pharmacy and management teams, and are easy to generate with one single click in the dashboard.

​Radar Report
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

FDA
​Approval

MedGuard received FDA "Software as Medical Device (SaMD)" approval in September 2019.
​

​Rapid
​Deployment

AESOP uses modern software engineering methods to deliver a high amount of flexibility and integration options. MedGuard can be fully deployed by hooking into APIs, or deployed in one day by using a plugin installation on individual workstations. This supports organizational and IT department needs for both small scale roll-outs 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
Brigham & Women's Hospital
Professor of Medicine
Harvard Medical School
Internationally Renowned Expert in Patient Safety

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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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population, there is a very clear trend that there are more medical errors happening every day. Tools that we 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

Medication Errors are Preventable
​​Request a Demo​