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MedAware protects providers and their patients by arming care teams with safeguards against catastrophic prescription-related medication errors, while promoting the highest level of safety without alert fatigue. The company’s patented medication surveillance technology uses machine-learning algorithms and outlier detection mechanisms, similar to fraud detection solutions in use by financial institutions worldwide, to identify adverse drug events and flag potentially life-threatening prescriptions that are in conflict with the profile of the patient, physician, or institution. These nearly impossible to anticipate errors would otherwise go undetected by current rule-based solutions alone. The offering also has a continually updated data-driven knowledgebase that automatically tracks changes in a patient’s clinical status over time, and issues a warning of a dangerous situation should an active medication no longer be appropriate due to new or changing diagnostic results.
Create a Safer Prescribing Environment by Eliminating Avoidable Prescription-Related Medication Errors
MedAware identifies adverse drug events and prevents catastrophic prescription-related medication errors, saving lives and improving patient safety in the simplest of ways.
When a new prescription is entered, MedAware assesses its appropriateness. If deemed an outlier to the norm for the individual patient, physician, and/or clinical setting, a warning will immediately be generated and sent to the prescriber as an urgent clinical document.
When new clinical data is added to the patient record (lab result, vital sign, diagnosis, etc.) MedAware reviews all the patient’s active medications, and assesses their appropriateness. If deemed an outlier to the norm for the individual patient, physician, and/or clinical setting – a warning will immediately be generated and sent to the prescriber as an urgent clinical document.
If following the generation of the warning, additional clinical data is added to the patient’s record, which renders the previously generated warning irrelevant – the warning sent as a clinical document is deleted to further reduce alert fatigue.