A clinical decision support tool for acute pain within an electronic health record to improve analgesic prescribing practice

O'Hagan, Matthew; Johnson, Daniel; Lobo, Dileep N.; Levy, Nicholas

doi:10.1016/j.bja.2024.12.029

A clinical decision support tool for acute pain within an electronic health record to improve analgesic prescribing practice

O'Hagan, Matthew; Johnson, Daniel; Lobo, Dileep N.; Levy, Nicholas

Authors

Matthew O'Hagan

Daniel Johnson

Professor DILEEP LOBO dileep.lobo@nottingham.ac.uk
PROFESSOR OF GASTROINTESTINAL SURGERY

Nicholas Levy

Citation

O'Hagan, M., Johnson, D., Lobo, D. N., & Levy, N. (2025). A clinical decision support tool for acute pain within an electronic health record to improve analgesic prescribing practice. British Journal of Anaesthesia, 134(4), 1238-1240. https://doi.org/10.1016/j.bja.2024.12.029

Journal Article Type	Letter
Acceptance Date	Dec 17, 2024
Online Publication Date	Jan 23, 2025
Publication Date	2025-04
Deposit Date	Dec 18, 2024
Publicly Available Date	Jan 24, 2026
Journal	British Journal of Anaesthesia
Print ISSN	0007-0912
Electronic ISSN	1471-6771
Publisher	Elsevier
Peer Reviewed	Peer Reviewed
Volume	134
Issue	4
Pages	1238-1240
DOI	https://doi.org/10.1016/j.bja.2024.12.029
Keywords	cohort study; acute pain; clinical decision support tool; analgesic prescribing; opioid stewardship
Public URL	https://nottingham-repository.worktribe.com/output/43094434
Publisher URL	https://www.bjanaesthesia.org/article/S0007-0912(25)00003-0/fulltext
Related Public URLs	https://www.sciencedirect.com/science/article/pii/S0007091225000030