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An open source tool to compute measures of inpatient glycemic control: translating from healthcare analytics research to clinical quality improvement

OBJECTIVES: The objective of this study is to facilitate monitoring of the quality of inpatient glycemic control by providing an open-source tool to compute glucometrics. To allay regulatory and privacy concerns, the tool is usable locally; no data are uploaded to the internet. MATERIALS AND METHODS...

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Autores principales: Chen, Ying, Ning, Yilin, Thomas, Prem, Salloway, Mark, Tan, Maudrene Luor Shyuan, Tai, E-Shyong, Kao, Shih Ling, Tan, Chuen Seng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206397/
https://www.ncbi.nlm.nih.gov/pubmed/34142017
http://dx.doi.org/10.1093/jamiaopen/ooab033
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author Chen, Ying
Ning, Yilin
Thomas, Prem
Salloway, Mark
Tan, Maudrene Luor Shyuan
Tai, E-Shyong
Kao, Shih Ling
Tan, Chuen Seng
author_facet Chen, Ying
Ning, Yilin
Thomas, Prem
Salloway, Mark
Tan, Maudrene Luor Shyuan
Tai, E-Shyong
Kao, Shih Ling
Tan, Chuen Seng
author_sort Chen, Ying
collection PubMed
description OBJECTIVES: The objective of this study is to facilitate monitoring of the quality of inpatient glycemic control by providing an open-source tool to compute glucometrics. To allay regulatory and privacy concerns, the tool is usable locally; no data are uploaded to the internet. MATERIALS AND METHODS: We extended code, initially developed for healthcare analytics research, to serve the clinical need for quality monitoring of diabetes. We built an application, with a graphical interface, which can be run locally without any internet connection. RESULTS: We verified that our code produced results identical to prior work in glucometrics. We extended the prior work by including additional metrics and by providing user customizability. The software has been used at an academic healthcare institution. CONCLUSION: We successfully translated code used for research methods into an open source, user-friendly tool which hospitals may use to expedite quality measure computation for the management of inpatients with diabetes.
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spelling pubmed-82063972021-06-16 An open source tool to compute measures of inpatient glycemic control: translating from healthcare analytics research to clinical quality improvement Chen, Ying Ning, Yilin Thomas, Prem Salloway, Mark Tan, Maudrene Luor Shyuan Tai, E-Shyong Kao, Shih Ling Tan, Chuen Seng JAMIA Open Application Notes OBJECTIVES: The objective of this study is to facilitate monitoring of the quality of inpatient glycemic control by providing an open-source tool to compute glucometrics. To allay regulatory and privacy concerns, the tool is usable locally; no data are uploaded to the internet. MATERIALS AND METHODS: We extended code, initially developed for healthcare analytics research, to serve the clinical need for quality monitoring of diabetes. We built an application, with a graphical interface, which can be run locally without any internet connection. RESULTS: We verified that our code produced results identical to prior work in glucometrics. We extended the prior work by including additional metrics and by providing user customizability. The software has been used at an academic healthcare institution. CONCLUSION: We successfully translated code used for research methods into an open source, user-friendly tool which hospitals may use to expedite quality measure computation for the management of inpatients with diabetes. Oxford University Press 2021-06-16 /pmc/articles/PMC8206397/ /pubmed/34142017 http://dx.doi.org/10.1093/jamiaopen/ooab033 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Application Notes
Chen, Ying
Ning, Yilin
Thomas, Prem
Salloway, Mark
Tan, Maudrene Luor Shyuan
Tai, E-Shyong
Kao, Shih Ling
Tan, Chuen Seng
An open source tool to compute measures of inpatient glycemic control: translating from healthcare analytics research to clinical quality improvement
title An open source tool to compute measures of inpatient glycemic control: translating from healthcare analytics research to clinical quality improvement
title_full An open source tool to compute measures of inpatient glycemic control: translating from healthcare analytics research to clinical quality improvement
title_fullStr An open source tool to compute measures of inpatient glycemic control: translating from healthcare analytics research to clinical quality improvement
title_full_unstemmed An open source tool to compute measures of inpatient glycemic control: translating from healthcare analytics research to clinical quality improvement
title_short An open source tool to compute measures of inpatient glycemic control: translating from healthcare analytics research to clinical quality improvement
title_sort open source tool to compute measures of inpatient glycemic control: translating from healthcare analytics research to clinical quality improvement
topic Application Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206397/
https://www.ncbi.nlm.nih.gov/pubmed/34142017
http://dx.doi.org/10.1093/jamiaopen/ooab033
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