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Computer‐based simulation to reduce EHR‐related chemotherapy ordering errors

BACKGROUND: The electronic health record (EHR) is a contributor to serious patient harm occurring within a sociotechnical system. Chemotherapy ordering is a high‐risk task due to the complex nature of ordering workflows and potential detrimental effects if wrong chemotherapeutic doses are administer...

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Autores principales: Wyatt, Kirk D., Freedman, Elizabeth B., Arteaga, Grace M., Rodriguez, Vilmarie, Warad, Deepti M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7724293/
https://www.ncbi.nlm.nih.gov/pubmed/33002331
http://dx.doi.org/10.1002/cam4.3496
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author Wyatt, Kirk D.
Freedman, Elizabeth B.
Arteaga, Grace M.
Rodriguez, Vilmarie
Warad, Deepti M.
author_facet Wyatt, Kirk D.
Freedman, Elizabeth B.
Arteaga, Grace M.
Rodriguez, Vilmarie
Warad, Deepti M.
author_sort Wyatt, Kirk D.
collection PubMed
description BACKGROUND: The electronic health record (EHR) is a contributor to serious patient harm occurring within a sociotechnical system. Chemotherapy ordering is a high‐risk task due to the complex nature of ordering workflows and potential detrimental effects if wrong chemotherapeutic doses are administered. Many chemotherapy ordering errors cannot be mitigated through systems‐based changes due to the limited extent to which individual institutions are able to customize proprietary EHR software. We hypothesized that simulation‐based training could improve providers’ ability to identify and mitigate common chemotherapy ordering errors. METHODS: Pediatric hematology/oncology providers voluntarily participated in simulations using an EHR testing (“Playground”) environment. The number of safety risks identified and mitigated by each provider at baseline was recorded. Risks were reviewed one‐on‐one after initial simulations and at a group “lunch‐and‐learn” session. At three‐month follow‐up, repeat simulations assessed for improvements in error identification and mitigation, and providers were surveyed about prevention of real‐life safety events. RESULTS: The 8 participating providers identified and mitigated an average of 5.5 out of 10 safety risks during the initial simulation, compared 7.4 safety risks at the follow up simulation (p=0.030). Two of the providers (25%) reported preventing at least one real‐world patient safety event in the clinical setting as a result of the initial training session. CONCLUSIONS: Simulation‐based training may reduce providers’ susceptibility to chemotherapy ordering safety vulnerabilities within the EHR. This approach may be used when systems‐based EHR improvements are not feasible due to limited ability to customize local instances of proprietary EHR software.
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spelling pubmed-77242932020-12-13 Computer‐based simulation to reduce EHR‐related chemotherapy ordering errors Wyatt, Kirk D. Freedman, Elizabeth B. Arteaga, Grace M. Rodriguez, Vilmarie Warad, Deepti M. Cancer Med Clinical Cancer Research BACKGROUND: The electronic health record (EHR) is a contributor to serious patient harm occurring within a sociotechnical system. Chemotherapy ordering is a high‐risk task due to the complex nature of ordering workflows and potential detrimental effects if wrong chemotherapeutic doses are administered. Many chemotherapy ordering errors cannot be mitigated through systems‐based changes due to the limited extent to which individual institutions are able to customize proprietary EHR software. We hypothesized that simulation‐based training could improve providers’ ability to identify and mitigate common chemotherapy ordering errors. METHODS: Pediatric hematology/oncology providers voluntarily participated in simulations using an EHR testing (“Playground”) environment. The number of safety risks identified and mitigated by each provider at baseline was recorded. Risks were reviewed one‐on‐one after initial simulations and at a group “lunch‐and‐learn” session. At three‐month follow‐up, repeat simulations assessed for improvements in error identification and mitigation, and providers were surveyed about prevention of real‐life safety events. RESULTS: The 8 participating providers identified and mitigated an average of 5.5 out of 10 safety risks during the initial simulation, compared 7.4 safety risks at the follow up simulation (p=0.030). Two of the providers (25%) reported preventing at least one real‐world patient safety event in the clinical setting as a result of the initial training session. CONCLUSIONS: Simulation‐based training may reduce providers’ susceptibility to chemotherapy ordering safety vulnerabilities within the EHR. This approach may be used when systems‐based EHR improvements are not feasible due to limited ability to customize local instances of proprietary EHR software. John Wiley and Sons Inc. 2020-10-01 /pmc/articles/PMC7724293/ /pubmed/33002331 http://dx.doi.org/10.1002/cam4.3496 Text en © 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Research
Wyatt, Kirk D.
Freedman, Elizabeth B.
Arteaga, Grace M.
Rodriguez, Vilmarie
Warad, Deepti M.
Computer‐based simulation to reduce EHR‐related chemotherapy ordering errors
title Computer‐based simulation to reduce EHR‐related chemotherapy ordering errors
title_full Computer‐based simulation to reduce EHR‐related chemotherapy ordering errors
title_fullStr Computer‐based simulation to reduce EHR‐related chemotherapy ordering errors
title_full_unstemmed Computer‐based simulation to reduce EHR‐related chemotherapy ordering errors
title_short Computer‐based simulation to reduce EHR‐related chemotherapy ordering errors
title_sort computer‐based simulation to reduce ehr‐related chemotherapy ordering errors
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7724293/
https://www.ncbi.nlm.nih.gov/pubmed/33002331
http://dx.doi.org/10.1002/cam4.3496
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