Reduction in chemotherapy order errors with computerised physician order entry and clinical decision support systems.
Health Inf Manag
; 44(3): 13-22, 2015.
Article
em En
| MEDLINE
| ID: mdl-26464298
ABSTRACT
BACKGROUND:
Medication errors in chemotherapy are frequent and lead to patient morbidity and mortality, as well as increased rates of re-admission and length of stay, and considerable extra costs.Objective:
This study investigated the proposition that computerised chemotherapy ordering reduces the incidence and severity of chemotherapy protocol errors.METHOD:
A computerised physician order entry of chemotherapy order (C-CO) with clinical decision support system was developed in-house, including standardised chemotherapy protocol definitions, automation of pharmacy distribution, clinical checks, labeling and invoicing. A prospective study was then conducted in a C-CO versus paper based chemotherapy order (P-CO) in a 30-bed chemotherapy bay of a tertiary hospital. Both C-CO and P-CO orders, including pharmacoeconomic analysis and the severity of medication errors, were checked and validated by a clinical pharmacist. A group analysis and field trial were also conducted to assess clarity, feasibility and decision making. RESULTS ANDCONCLUSION:
The C-CO was very usable in terms of its clarity and feasibility. The incidence of medication errors was significantly lower in the C-CO compared with the P-CO (10/3765 [0.26%] versus 134/5514 [2.4%]). There was also a reduction in dispensing time of chemotherapy protocols in the C-CO. The chemotherapy computerisation with clinical decision support system resulted in a significant decrease in the occurrence and severity of medication errors, improvements in chemotherapy dispensing and administration times, and reduction of chemotherapy cost.
Buscar no Google
Base de dados:
MEDLINE
Assunto principal:
Prescrições de Medicamentos
/
Sistemas de Apoio a Decisões Clínicas
/
Tratamento Farmacológico
/
Sistemas de Registro de Ordens Médicas
/
Erros de Medicação
Tipo de estudo:
Guideline
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2015
Tipo de documento:
Article