MedAware

MedAware's medication safety monitoring platform lives within existing technology systems, electronic health records, and devices to identify dangerous medication-related risks throughout the entire patient journey. Built using longitudinal and real-time patient data, advanced machine learning algorithms identify medication errors, opioid dependency risk, evolving adverse drug events, and more.

This differs from typical rule based Clinical Decision Support alerting systems, in which clinical criteria for screening for potential problems (e.g., drug-drug or drug-allergy or duplicate therapy interactions) are predefined and only generate alerts when triggering criteria are met.

Although MedAware also uses best in class drug knowledgebases and predefined rules iteratively derived and refined from its prior data mining analytics, its self-learning and self-adaptive capabilities allow it to automatically and continuously search for patient- provider- and institutional specific novel outlier patterns that could represent medication errors and/or other dangerous situations.

In doing so, MedAware establishes a safer prescribing and medication management environment for its customers and partners by providing personalized, actionable insights to the right recipient, at the right time, and directly in workflow—helping realize new value from existing Healthcare IT investments while creating a safer ecosystem for patients and providers alike.

MedAware’s patent-protected technology and methodology has been validated both clinically and health economically on more than 7 million patients in academic studies by Harvard Medical School and Sheba Medical Center as well as in operational inpatient and outpatient deployments in Israel and the U.S.

Due to the high clinical relevancy of its medication alerts, providers have been shown to change their prescribing behavior significantly more often than with traditional systems alone.

Founded in 2012, MedAware has offices in the United States and Israel.