A simulation study to quantitatively assess the performance of electronic prescribing systems in English NHS Hospital Trusts
Abstract Prescribing errors are a source of preventable harm in healthcare, which may be mitigated using Electronic Prescribing (EP) systems. Anyone who routinely prescribes medication could benefit from digitally assisted automated checks to identify whether a prescription should potentially not be...
Saved in:
Main Authors: | Stephanie Klein, Athanasios Tsanas, Jamie Coleman, Rebecca Osselton, Jude Heed, Ann Slee, Neil Watson |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-86112-w |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Public health care system, a quasi-experimental study: Acceptance and attitude to implicate clinical services
by: Gillani Syed Wasif, et al.
Published: (2017-03-01) -
Assessing the impact of clinically relevant medicinal chemistry teaching: Learning gains from case study approach
by: Fernanda Domingues Lustoza, et al.
Published: (2025-01-01) -
A maturity model for Clinical Trials Management Ecosystem
by: Shruti Sehgal, et al.
Published: (2025-01-01) -
Barriers to and facilitators of healthcare professionals in ADR reporting in a tertiary care hospital in India
by: Ian Osoro N, et al.
Published: (2025-01-01) -
Impact of clinical pharmacist integration on diabetes management: a prospective cohort
by: Nur Burcu Kutluay, et al.
Published: (2025-01-01)