Machine learning-based risk prediction model for medication administration errors in neonatal intensive care units: a prospective direct observational study

• Main Authors: Henry Basil, Josephine, Lim, Wern Han, Syed Ahmad, Sharifah M., Menon Premakumar, Chandini, Mohd Tahir, Nurul Ain, Mhd Ali, Adliah, Seman, Zamtira, Ishak, Shareena, Mohamed Shah, Noraida
• Format: Article
• Language: English
• Published: SAGE Publications 2024
• Online Access: http://psasir.upm.edu.my/id/eprint/114697/1/114697.pdf; http://psasir.upm.edu.my/id/eprint/114697/; https://journals.sagepub.com/doi/10.1177/20552076241286434
• Institution: Universiti Putra Malaysia

Objective: Neonates’ physiological immaturity and complex dosing requirements heighten their susceptibility to medication administration errors (MAEs), with the potential for severe harm and substantial economic impact on healthcare systems. Developing an effective risk prediction model for MAEs is...