
Study shows reduction in medication errors using health IT startup’s software
The study estimated 68.2 percent of errors generated by MedAware’s system would not have been detected by existing clinical decision support systems.
The study estimated 68.2 percent of errors generated by MedAware’s system would not have been detected by existing clinical decision support systems.
The medical center implemented MedAware's platform, which harnesses data analytics and machine learning to pinpoint prescription errors before they happen.
Can a machine-learning enabled software platform prevent prescription errors before they impact patients? MedAware's tool got some positive clinical validation in an efficacy study.