Pharmacogenomic augmented machine learning in electronic health record alerts: A health system‐wide usability survey of clinicians

Autor: Caroline W. Grant, Jean Marrero‐Polanco, Jeremiah B. Joyce, Barbara Barry, Ashley Stillwell, Kellie Kruger, Therese Anderson, Heather Talley, Mary Hedges, Jose Valery, Richard White, Richard R. Sharp, Paul E. Croarkin, Liselotte N. Dyrbye, William V. Bobo, Arjun P. Athreya

Publikováno v: Clinical and Translational Science, Vol 17, Iss 10, Pp n/a-n/a (2024)

Abstract Pharmacogenomic (PGx) biomarkers integrated using machine learning can be embedded within the electronic health record (EHR) to provide clinicians with individualized predictions of drug treatment outcomes. Currently, however, drug alerts in

Externí odkaz: https://doaj.org/article/89a1b954c4404f32975faf8550ee145f

Pharmacogenomic augmented machine learning in electronic health record alerts: A health system‐wide usability survey of clinicians.

Autor: Grant, Caroline W.¹ (AUTHOR), Marrero‐Polanco, Jean¹ (AUTHOR), Joyce, Jeremiah B.² (AUTHOR), Barry, Barbara^3,4 (AUTHOR), Stillwell, Ashley^5,6 (AUTHOR), Kruger, Kellie⁵ (AUTHOR), Anderson, Therese⁷ (AUTHOR), Talley, Heather⁸ (AUTHOR), Hedges, Mary⁹ (AUTHOR), Valery, Jose⁹ (AUTHOR), White, Richard⁹ (AUTHOR), Sharp, Richard R.¹⁰ (AUTHOR), Croarkin, Paul E.² (AUTHOR), Dyrbye, Liselotte N.¹¹ (AUTHOR) liselotte.dyrbye@cuanschutz.edu, Bobo, William V.¹² (AUTHOR) william.bobo@med.fsu.edu, Athreya, Arjun P.^1,2 (AUTHOR) athreya.arjun@mayo.edu

Publikováno v: CTS: Clinical & Translational Science. Oct2024, Vol. 17 Issue 10, p1-13. 13p.

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