Pharmacogenomic testing can be an effective tool to enhance medication safety and
efficacy. Pharmacogenomically actionable medications are widely used, and approximately …

Pharmacogenomics (PGx), examining the effect of genetic variation on interpatient variation
in drug disposition and response, has been widely studied for several decades. However, as …

Objective Enabling clinicians to formulate individualized clinical management strategies
from the sea of molecular data remains a fundamentally important but daunting task. Here …

Thoughtful integration of interruptive clinical decision support (CDS) alerts within the
electronic health record is essential to guide clinicians on the application of …

Clinical decision support (CDS) is often cited as an essential part of pharmacogenomics
(PGx) implementations. A multitude of strategies are available; however, it is unclear which …

Since the rebirth of pharmacogenomics (PGx) in the 1990s and 2000s, with new discoveries
of genetic variation underlying adverse drug response and new analytical technologies such …

The healthcare sector is very interested in machine learning (ML) and artificial intelligence
(AI). Nevertheless, applying AI applications in scientific contexts is difficult because of the …

Purpose To compare rates of prescriber acceptance of interruptive and noninterruptive
clinical decision support (CDS) alerts regarding potential diminished therapeutic …

Precision dosing aims to tailor doses to individual patients with the goal of improving
treatment efficacy and avoiding toxicity. Clinical decision support software (CDSS) plays a …

Pharmacogenetic testing in the United Kingdom's National Health Service (NHS) has
historically been reactive in nature, undertaken in the context of single gene-drug …