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Development and Implementation of Electronic Health Record–Integrated Model‐Informed Clinical Decision Support Tools for the Precision Dosing of Drugs
Author(s) -
Vinks Alexander A.,
Peck Richard W.,
Neely Michael,
Mould Diane R.
Publication year - 2020
Publication title -
clinical pharmacology and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.941
H-Index - 188
eISSN - 1532-6535
pISSN - 0009-9236
DOI - 10.1002/cpt.1679
Subject(s) - dosing , precision medicine , computer science , wearable computer , clinical decision support system , upload , decision support system , human–computer interaction , medicine , medical physics , artificial intelligence , pharmacology , embedded system , pathology , operating system
Imagine it is 2030, and the drug label is in the cloud, is interactive, and can provide model‐informed precision dosing support based on an individual's genomic and physiologic makeup that is uploaded via a user‐friendly interface. Precision medicine has vastly improved our ability to provide tailored therapeutics, and groundbreaking advances in noninvasive systems have generated smart wearable devices that can follow our physiologic state and drug exposure in real time. One device consists of a microfluidic drug biosensor with a transmitter attached to the skin and a mobile app that displays concentration values and trends while issuing alerts and providing suggestions on dose changes when out of range. This sounds compelling, but why has model‐informed precision dosing not yet become common clinical reality in 2020?