Implementation of two software models for the surveillance and the detection of errors in prescriptions for the parenteral nutrition production in a specialized Compounding Center

Authors

DOI:

https://doi.org/10.22239/2317-269x.01264

Keywords:

Electronic Prescription, Production, Parenteral Nutrition, Alert

Abstract

Introduction: Errors involving the prescription of medications are frequent in the health area, causing adverse events in hospitalized patients and economic losses in the productive process. The verification of the prescriptions, which must be elaborated in a complete and legible way, is of great importance in surveillance and prevention of errors. Objective: The objective of this work was to analyze the results of the implementation of two computational programs, Microsoft Excel for MAC version 15.27 for the preparation of electronic prescription, made available to the prescriber physician, and the Enterprise Resource Planning,
for error alerts on the production line of parenteral nutritions, in the period 2006 to 2015. Method: The method used was based on a case study, conducted through a longitudinal survey of primary data, of an exploratory and descriptive nature, with participant observation in the implementation of software in a specialize Compounding Center. Results: In the year 2015, 39.5% of the prescriptions were sent through fax or email. However, such prescriptions received a number of Occurrences of Potential Errors (OPE) of 97.9%. Conclusions: The software of production proved to be an important tool of quality, especially in the production of PN for newborns, since it was identified the prevalence of alerts of prescription errors, in the proportion of 1.7 alerts for each elaborated prescription.

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Author Biographies

  • Deivid Nogueira Rafael, Universidade Nove de Julho (UNINOVE), São Paulo, SP, Brasil

    Mestre em Administração e Engenheiro com experiência em indústrias de ciências da vida nos departamentos de Validação atuando com qualificação de equipamentos, utilidades e sistemas e Engenharia e Manutenção, atuando nas áreas de instrumentação, automação industrial e planejamento.

  • Simone Aquino, Universidade Nove de Julho (UNINOVE), São Paulo, SP, Brasil

    Médica veterinária sanitarista pela FSP-USP, especialista em VISA. Mestrado e Doutorado pelo IPEN USP. Professora doutora do Programa de Mestrado Profissional em Administração da UNINOVE em Gestão de Saúde e Gestão Ambiental.

Published

2019-06-03

Issue

Section

Articles

How to Cite

Implementation of two software models for the surveillance and the detection of errors in prescriptions for the parenteral nutrition production in a specialized Compounding Center. (2019). Health Surveillance under Debate: Society, Science & Technology , 7(2), 9-17. https://doi.org/10.22239/2317-269x.01264