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MedAware utilizes big data analytics and machine learning to eliminate prescription errors11-50 Employees
  • Early Stage
    Startup in initial stages
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MedAware utilizes big data analytics and machine learning to eliminate prescription errors
MedAware’s medication surveillance technology identifies ADEs and eradicates catastrophic medication errors by applying advanced machine-learning algorithms and outlier detection mechanisms similar to fraud detection solutions in use by financial institutions worldwide. By continuously mining data gathered via millions of EHRs, the software is able to flag potentially lethal prescriptions that are in conflict with the profile of the patient, physician, or institution. In addition, MedAware actively monitors each patient to identify and warn of situations in which changes in a patient’s diagnostic results renders one of his/her active medications a dangerous outlier. These difficult or nearly impossible to anticipate errors would otherwise go undetected by current rule-based solutions. The company’s unique, real-time approach to identifying ADEs and preventing medication errors saves lives, improves patient safety and outcomes, and significantly reduces avoidable risks and costs.
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Gidi Stein
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Valuation

$0

Funded over

3 rounds

Latest round

Series A (Aug 2017)

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