Leveraging AI to reduce medication related risks at the point of care.
MedAware’s platform identifies and prevents medication-related errors and risks by applying advanced machine learning algorithms and outlier detection mechanisms similar to fraud detection solutions in use by financial institutions worldwide.
By continuously analyzing and harnessing the practice patterns of thousands of physicians treating millions of patients around the globe, the software accurately flags medications that are in conflict with the profile of the patient, physician, or institution.
MedAware was founded following a tragic event when a nine-year-old boy died simply because his primary care physician accidentally selected the wrong drug by mistake on his electronic prescribing pull-down list. This mistake was not due to bad judgment on the side of the physician, but rather simple human error, that unfortunately, proved to be fatal. With the understanding that legacy decision support solutions failed to save this boy, a seasoned team of physician-scientists and machine learning algorithm experts established MedAware to ensure the highest level of safety for providers and their patients. www.medaware.com
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https://www.prnewswire.com/news-releases/harvard-researchers-find-significant-clinical-impact-and-cost-savings-with-medawares-patient-safety-platform-300975348.html
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