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For drug order errors, manual review of drug orders is the "gold standard" for improving drug use and minimizing prescription errors.
Starting to solve these errors and inefficiencies, Martina led the research team, a former postdoctoral associate, and an associate professor at the Center for Urban Science and Progress (Pointed) at the New York University Meridian School of Engineering, including Oudi Nov.
They recently published a study titled "Using provider action data to predict inpatient pharmacy order intervention" in the journal JAMIA Open, using a large urban hospital system as a case study
In the past, models that predicted the wrong order of drugs obtained data from patients' medical records, while the classification model developed by the team focused on clinician data
Journal Reference :
Martina Balestra, Ji Chen, Eduardo Iturrate, Yindalon Aphinyanaphongs, Oded Nov.