Financial Management of Clinical Engineering Services

Wang, Binseng

doi:10.1016/b978-012226570-9/50053-3

Cited by 4 publications

(3 citation statements)

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“…Despite their warnings, almost all subsequent publications and presentations have adopted equation (1) as the criterion standard for CE productivity. 8,9 The alternative of using hourly rate 8,10 has similar challenges.…”

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confidence: 96%

Clinical Engineering Productivity and Staffing Revisited

Wang¹,

Rui²,

Fedele³

et al. 2012

Journal of Clinical Engineering

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While debated for over 30 years, productivity and staffing continue to be a challenging topic for the clinical engineering (CE) community. At the core of this challenge is the lack of reliable indicators substantiated by actual data. This article reports an attempt to evaluate some traditional and newer indicators using data collected from 2 distinct sources. Results confirm early concerns that worked hours self-entered by CE staff are subject to misuse and thus should be avoided. In contrast, good statistical correlation was found for staffing data with several hospital indicators that are consistently collected and widely available. Good correlation with CE department indicators was more difficult to find, apparently because of the lack of reliable records and consistent accounting of all CE resources and expenditures. Although no single, easy-to-measure and easy-to-understand indicator emerged as a replacement for the worked-to-paid-hours ratio, it is shown that a multidimensional model can be built to benchmark productivity and staffing. Calculations from such a model are accurate, but not precise, so the results need to be interpreted carefully. With proper precautions, such comparisons can be used as a good starting point for a more detailed analysis of the differences that could reveal substantive causes such as service scope and strategy, organizational characteristics, and geographical challenges as well as opportunities for major productivity improvements.

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mentioning

confidence: 96%

Clinical Engineering Productivity and Staffing Revisited

Wang¹,

Rui²,

Fedele³

et al. 2012

Journal of Clinical Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…Indicadores são informações produzidas com periodicidade definida e critérios constantes e devem apresentar os seguintes requisitos para sua obtenção: disponibilidade de dados, simplicidade técnica, uniformidade, capacidade de síntese e poder discriminatório (FERREIRA, 2001;RODRIGUEZ, 2003). São instrumentos de gestão, essenciais nas atividades de monitoramento e avaliação de projetos, programas e políticas, pois permitem acompanhar a busca das metas, identificar avanços, ganhos de qualidade, problemas a serem corrigidos e necessidade de mudanças (WANG, 2004;COHEN, 1998).…”

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“…Se isto é inevitável, deve ser discutido entre as áreas técnica e de saúde. A requisição de serviços de terceiros deve ser deverá substituir alguns contratos por ocasionais chamadas de serviço terceirizado somente quando necessário, diminuindo estes custos de 40% para aproximadamente 26% dos custos com o departamento de EC(WANG, 2004).…”

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Indicadores de desempenho, custo e satisfação para gerenciamento de tecnologia medica

Vilela¹,

Bassani²

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Medical equipment classification: method and decision-making support based on paraconsistent annotated logic

Oshiyama

Bassani

D’Ottaviano

et al. 2012

Med Biol Eng Comput

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As technology evolves, the role of medical equipment in the healthcare system, as well as technology management, becomes more important. Although the existence of large databases containing management information is currently common, extracting useful information from them is still difficult. A useful tool for identification of frequently failing equipment, which increases maintenance cost and downtime, would be the classification according to the corrective maintenance data. Nevertheless, establishment of classes may create inconsistencies, since an item may be close to two classes by the same extent. Paraconsistent logic might help solve this problem, as it allows the existence of inconsistent (contradictory) information without trivialization. In this paper, a methodology for medical equipment classification based on the ABC analysis of corrective maintenance data is presented, and complemented with a paraconsistent annotated logic analysis, which may enable the decision maker to take into consideration alerts created by the identification of inconsistencies and indeterminacies in the classification.

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Financial Management of Clinical Engineering Services

Cited by 4 publications

References 0 publications

Clinical Engineering Productivity and Staffing Revisited

Clinical Engineering Productivity and Staffing Revisited

Indicadores de desempenho, custo e satisfação para gerenciamento de tecnologia medica

Medical equipment classification: method and decision-making support based on paraconsistent annotated logic

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