Prescription |
 2 in 5 |
Errors in the Medication Process
12X Better than the OthersClinical 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 Make Impact
*Product images are made for illustration purposes only and may differ from the actual product.
*FHIR and CDS Hooks compliant
*FHIR and CDS Hooks compliant
 Diagnosis and Medication AdviceMedGuard 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 DatabaseBuilt 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
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Enabling Adaptive ManagementTo 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
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► 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
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 Rapid
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 Satisfaction
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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 |
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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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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 International Medical Informatics Association |