Medication Error is Common and Life-threatening
Prescription |
 2 in 5 |
Do It Right at the BeginningErrors can happen at any point of the medication-use process. More than half of them occur during the prescribing phase. Medication errors are preventable. RxPrime makes it right at the beginning of prescribing stage, even for the look-alike-sound-alike errors.
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| The Medication-Use Process |
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Better Decision Support for Unexplained Diagnosis and MedicationRxPrime detects potential and unexplained errors in prescriptions and provides optimal recommendations from multiple (department and hospital-wise) perspectives based on the patient’s diagnoses, age, and gender. It offers real-time decision support without interfering unnecessarily with the clinical consultation process. *Follow FHIR and CDS Hooks compliance
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 3.2B Prescription DatabaseBuilt on the world's largest prescription database, 3.2 billion well-coded prescriptions and 2.4 billion association rules, RxPrime supports medication decision-making by analyzing explicit and tacit knowledge and clinical behaviors from doctors. |
 Dual AI EnginePowered by a dual artificial intelligence engine containing customized medication safety algorithms, RxPrime enables continuous self-improvement to reduce alert fatigue and provide better suggestions. |
U.S., Taiwan Partner to Improve Patient SafetyClinical study has shown RxPrime alert accuracy ranged from 79%-85%, which was conducted in partnership with Harvard Medical School and Taipei Medical University by the international federated learning approach, ensuring the transferability. |
 Rapid DeploymentAESOP uses modern software engineering methods to deliver high flexibility and integration options and is now available on EPIC App Orchard. RxPrime 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 GuaranteeAESOP 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 RxPrime, you may cancel your subscription at any time. |
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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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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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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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