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Improving the resident assessment process: application of App-based e-training platform and lean thinking

BACKGROUND: The assessment system for standardized resident training is crucial for developing competent doctors. However, it is complex, making it difficult to manage. The COVID-19 pandemic has also aggravated the difficulty of assessment. We, therefore, integrated lean thinking with App-based e-tr...

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Autores principales: Yuan, Wenqing, Li, Zhengqian, Han, Jiangli, Chu, Hongling, Lu, Shan, Gu, Shixian, Shen, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9974058/
https://www.ncbi.nlm.nih.gov/pubmed/36855113
http://dx.doi.org/10.1186/s12909-023-04118-2
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author Yuan, Wenqing
Li, Zhengqian
Han, Jiangli
Chu, Hongling
Lu, Shan
Gu, Shixian
Shen, Ning
author_facet Yuan, Wenqing
Li, Zhengqian
Han, Jiangli
Chu, Hongling
Lu, Shan
Gu, Shixian
Shen, Ning
author_sort Yuan, Wenqing
collection PubMed
description BACKGROUND: The assessment system for standardized resident training is crucial for developing competent doctors. However, it is complex, making it difficult to manage. The COVID-19 pandemic has also aggravated the difficulty of assessment. We, therefore, integrated lean thinking with App-based e-training platform to improve the assessment process through Define–Measure–Analyze–Improve–Control (DMAIC) cycles. This was designed to avoid unnecessary activities that generate waste. METHODS: Panels and online surveys were conducted in 2021–2022 to find the main issues that affect resident assessment and the root causes under the frame of waste. An online app was developed. Activities within the process were improved by brainstorming. Online surveys were used to improve the issues, satisfaction, and time spent on assessment using the app. RESULTS: A total of 290 clinical educators in 36 departments responded to the survey, and 153 clinical educators used the online app for assessment. Unplanned delay or cancellation was defined as the main issue. Eleven leading causes accounted for 87.5% of the issues. These were examiner time conflict, student time conflict, insufficient examiners, supervisor time conflict, grade statistics, insufficient exam assistants, reporting results, material archiving, unfamiliarity with the process, uncooperative patients, and feedback. The median rate of unplanned delay or cancellation was lower with use of the app (5% vs 0%, P < 0.001), and satisfaction increased (P < 0.001). The median time saved by the app across the whole assessment process was 60 (interquartile range 60–120) minutes. CONCLUSIONS: Lean thinking integrated with an App-based e-training platform could optimize the process of resident assessment. This could reduce waste and promote teaching and learning in medical education.
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spelling pubmed-99740582023-03-01 Improving the resident assessment process: application of App-based e-training platform and lean thinking Yuan, Wenqing Li, Zhengqian Han, Jiangli Chu, Hongling Lu, Shan Gu, Shixian Shen, Ning BMC Med Educ Research BACKGROUND: The assessment system for standardized resident training is crucial for developing competent doctors. However, it is complex, making it difficult to manage. The COVID-19 pandemic has also aggravated the difficulty of assessment. We, therefore, integrated lean thinking with App-based e-training platform to improve the assessment process through Define–Measure–Analyze–Improve–Control (DMAIC) cycles. This was designed to avoid unnecessary activities that generate waste. METHODS: Panels and online surveys were conducted in 2021–2022 to find the main issues that affect resident assessment and the root causes under the frame of waste. An online app was developed. Activities within the process were improved by brainstorming. Online surveys were used to improve the issues, satisfaction, and time spent on assessment using the app. RESULTS: A total of 290 clinical educators in 36 departments responded to the survey, and 153 clinical educators used the online app for assessment. Unplanned delay or cancellation was defined as the main issue. Eleven leading causes accounted for 87.5% of the issues. These were examiner time conflict, student time conflict, insufficient examiners, supervisor time conflict, grade statistics, insufficient exam assistants, reporting results, material archiving, unfamiliarity with the process, uncooperative patients, and feedback. The median rate of unplanned delay or cancellation was lower with use of the app (5% vs 0%, P < 0.001), and satisfaction increased (P < 0.001). The median time saved by the app across the whole assessment process was 60 (interquartile range 60–120) minutes. CONCLUSIONS: Lean thinking integrated with an App-based e-training platform could optimize the process of resident assessment. This could reduce waste and promote teaching and learning in medical education. BioMed Central 2023-02-28 /pmc/articles/PMC9974058/ /pubmed/36855113 http://dx.doi.org/10.1186/s12909-023-04118-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yuan, Wenqing
Li, Zhengqian
Han, Jiangli
Chu, Hongling
Lu, Shan
Gu, Shixian
Shen, Ning
Improving the resident assessment process: application of App-based e-training platform and lean thinking
title Improving the resident assessment process: application of App-based e-training platform and lean thinking
title_full Improving the resident assessment process: application of App-based e-training platform and lean thinking
title_fullStr Improving the resident assessment process: application of App-based e-training platform and lean thinking
title_full_unstemmed Improving the resident assessment process: application of App-based e-training platform and lean thinking
title_short Improving the resident assessment process: application of App-based e-training platform and lean thinking
title_sort improving the resident assessment process: application of app-based e-training platform and lean thinking
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9974058/
https://www.ncbi.nlm.nih.gov/pubmed/36855113
http://dx.doi.org/10.1186/s12909-023-04118-2
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