Literature DB >> 18753187

The impact of computerized prescribing on error rate in a department of Oncology/Hematology.

Matthew D C Small1, Ann Barrett, Gill M Price.   

Abstract

AIMS: A comparison of prescribing errors detected for computerized and spreadsheet prescriptions in the Department of Hematology and Oncology of the Norfolk and Norwich University hospital.
METHODS: A prospective audit of 1941 prescriptions for chemotherapy was made from January to September 2005. Each new cycle of chemotherapy ordered was monitored for prescribing errors, which were analyzed by method of prescription (computerized or spreadsheet), prescriber, type, and severity.
RESULTS: Computerized prescribing reduced errors by 42% (RR 0.58; 95% CI 0.47-0.72). Errors occurred in 20% of spreadsheet prescriptions compared with 12% of the computerized prescriptions. There was a significant difference in error rates of three different prescribers whichever prescribing system was used. The proportion of errors that were minor was reduced and serious was increased with little change in the proportion of significant or life-threatening errors.
CONCLUSIONS: The impact of computerized prescribing on adverse drug events requires further evaluation. Prescriber training may be important in further reducing errors. The implementation of all the existing functions of the electronic system should lead to further reduction in errors.

Mesh:

Substances:

Year:  2008        PMID: 18753187     DOI: 10.1177/1078155208094453

Source DB:  PubMed          Journal:  J Oncol Pharm Pract        ISSN: 1078-1552            Impact factor:   1.809


  7 in total

1.  A Systematic Review of Clinical Decision Support Systems for Clinical Oncology Practice.

Authors:  Pamala A Pawloski; Gabriel A Brooks; Matthew E Nielsen; Barbara A Olson-Bullis
Journal:  J Natl Compr Canc Netw       Date:  2019-04-01       Impact factor: 11.908

Review 2.  Computerized prescriber order entry in the outpatient oncology setting: from evidence to meaningful use.

Authors:  V Kukreti; R Cosby; A Cheung; S Lankshear
Journal:  Curr Oncol       Date:  2014-08       Impact factor: 3.677

3.  Integrating mHealth in Oncology: Experience in the Province of Trento.

Authors:  Enzo Galligioni; Enrico Maria Piras; Michele Galvagni; Claudio Eccher; Silvia Caramatti; Daniela Zanolli; Jonni Santi; Flavio Berloffa; Marco Dianti; Francesca Maines; Mirella Sannicolò; Marco Sandri; Lara Bragantini; Antonella Ferro; Stefano Forti
Journal:  J Med Internet Res       Date:  2015-05-13       Impact factor: 5.428

Review 4.  Chemotherapy e-prescribing: opportunities and challenges.

Authors:  Khaled A Elsaid; Steven Garguilo; Christine M Collins
Journal:  Integr Pharm Res Pract       Date:  2015-05-21

5.  Medication safety incidents in paediatric oncology after electronic medication management system implementation.

Authors:  Valentina Lichtner; Melissa Baysari; Peter Gates; Luciano Dalla-Pozza; Johanna I Westbrook
Journal:  Eur J Cancer Care (Engl)       Date:  2019-08-22       Impact factor: 2.520

Review 6.  Effects of Guideline-based Computerized Provider Order Entry Systems on the Chemotherapy Order Process: a Systematic Review.

Authors:  Sougand Setareh; Reza Rabiei; Hamid Reza Mirzaei; Arash Roshanpoor; Mahtab Shaabani
Journal:  Acta Inform Med       Date:  2022-03

7.  Impact of computerised physician order entry (CPOE) on the incidence of chemotherapy-related medication errors: a systematic review.

Authors:  Suresh Kumar Srinivasamurthy; Ramkumar Ashokkumar; Sunitha Kodidela; Scott C Howard; Caroline Flora Samer; Uppugunduri Satyanarayana Chakradhara Rao
Journal:  Eur J Clin Pharmacol       Date:  2021-02-23       Impact factor: 2.953

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.