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Efficiency and safety increases after the implementation of a multi-institutional automated plan check tool at our institution.
Berry, Sean L; Zhou, Ying; Pham, Hai; Elguindi, Sharif; Mechalakos, James G; Hunt, Margie.
Afiliação
  • Berry SL; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Zhou Y; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Pham H; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Elguindi S; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Mechalakos JG; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Hunt M; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
J Appl Clin Med Phys ; 21(4): 51-58, 2020 Apr.
Article em En | MEDLINE | ID: mdl-32196934
ABSTRACT

PURPOSE:

The plan check tool (PCT) is the result of a multi-institutional collaboration to jointly develop a flexible automated plan checking framework designed with the versatility to be shared across collaborating facilities while supporting the individual differences between practices. We analyze the effect that PCT has had on the efficiency and effectiveness of initial chart checks at our institution. METHODS AND MATERIALS Data on errors identified during initial chart checks were acquired during two time periods before the introduction of PCT in the clinic (6/24/2015 to 7/31/2015, 187 checks) and post-clinical release (4/14/2016 to 5/2/2016, 186 checks). During each time period, human plan checkers were asked to record all issues that they either manually detected or that were detected by PCT as well as the amount of time, less breaks, or interruptions, it took to check each plan.

RESULTS:

After the clinical release of PCT, there was a statistically significant decrease in the number of issues recorded by the human plan checkers both related to checks explicitly performed by PCT (13 vs 50, P < 0.001) and in issues identified overall (127 vs 200, P < 0.001). The mean and medium time for a plan check decreased by 20%.

CONCLUSIONS:

The use of a multi-institutional, configurable, automated plan checking tool has resulted in both substantial gains in efficiency and moving error detection to earlier points in the planning process, decreasing their likelihood that they reach the patient. The sizeable startup effort needed to create this tool from scratch was mitigated by the sharing, and subsequent co-development, of software code from a peer institution.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radioterapia / Planejamento da Radioterapia Assistida por Computador / Erros Médicos / Erros de Configuração em Radioterapia / Segurança do Paciente Tipo de estudo: Clinical_trials / Prognostic_studies / Sysrev_observational_studies Aspecto: Implementation_research Limite: Humans Idioma: En Revista: J Appl Clin Med Phys Assunto da revista: BIOFISICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radioterapia / Planejamento da Radioterapia Assistida por Computador / Erros Médicos / Erros de Configuração em Radioterapia / Segurança do Paciente Tipo de estudo: Clinical_trials / Prognostic_studies / Sysrev_observational_studies Aspecto: Implementation_research Limite: Humans Idioma: En Revista: J Appl Clin Med Phys Assunto da revista: BIOFISICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos