Empiric Dosing Model
Description
In conjunction with the UC Department of Mathematics we have developed a model that uses historic prescribing data to suggest new dosing rule parameters for implementation.
In conjunction with the UC Department of Mathematics we have developed a model that uses historic prescribing data to suggest new dosing rule parameters for implementation.
Automatable, scalable solution for adjusting poorly performing medication dosing rules, which tend to generate lots of inaccurate alerts.
Drastically cut down on alerts presented to users, and increase the performance of the remaining alerts. Could have safety, efficiency, satisfaction impact.
Eric Kirkendall (co-PI), Judith Dexheimer (co-PI)
Benjamin Vaughan (UC), Michael Grabel (UC student)