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Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: A fit-for-purpose informatics analysis report

OBJECTIVE: The study sought to conduct an informatics analysis on the National Evaluation System for Health Technology Coordinating Center test case of cardiac ablation catheters and to demonstrate the role of informatics approaches in the feasibility assessment of capturing real-world data using un...

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Autores principales: Jiang, Guoqian, Dhruva, Sanket S, Chen, Jiajing, Schulz, Wade L, Doshi, Amit A, Noseworthy, Peter A, Zhang, Shumin, Yu, Yue, Patrick Young, H, Brandt, Eric, Ervin, Keondae R, Shah, Nilay D, Ross, Joseph S, Coplan, Paul, Drozda, Joseph P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449615/
https://www.ncbi.nlm.nih.gov/pubmed/34313748
http://dx.doi.org/10.1093/jamia/ocab117
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author Jiang, Guoqian
Dhruva, Sanket S
Chen, Jiajing
Schulz, Wade L
Doshi, Amit A
Noseworthy, Peter A
Zhang, Shumin
Yu, Yue
Patrick Young, H
Brandt, Eric
Ervin, Keondae R
Shah, Nilay D
Ross, Joseph S
Coplan, Paul
Drozda, Joseph P
author_facet Jiang, Guoqian
Dhruva, Sanket S
Chen, Jiajing
Schulz, Wade L
Doshi, Amit A
Noseworthy, Peter A
Zhang, Shumin
Yu, Yue
Patrick Young, H
Brandt, Eric
Ervin, Keondae R
Shah, Nilay D
Ross, Joseph S
Coplan, Paul
Drozda, Joseph P
author_sort Jiang, Guoqian
collection PubMed
description OBJECTIVE: The study sought to conduct an informatics analysis on the National Evaluation System for Health Technology Coordinating Center test case of cardiac ablation catheters and to demonstrate the role of informatics approaches in the feasibility assessment of capturing real-world data using unique device identifiers (UDIs) that are fit for purpose for label extensions for 2 cardiac ablation catheters from the electronic health records and other health information technology systems in a multicenter evaluation. MATERIALS AND METHODS: We focused on data capture and transformation and data quality maturity model specified in the National Evaluation System for Health Technology Coordinating Center data quality framework. The informatics analysis included 4 elements: the use of UDIs for identifying device exposure data, the use of standardized codes for defining computable phenotypes, the use of natural language processing for capturing unstructured data elements from clinical data systems, and the use of common data models for standardizing data collection and analyses. RESULTS: We found that, with the UDI implementation at 3 health systems, the target device exposure data could be effectively identified, particularly for brand-specific devices. Computable phenotypes for study outcomes could be defined using codes; however, ablation registries, natural language processing tools, and chart reviews were required for validating data quality of the phenotypes. The common data model implementation status varied across sites. The maturity level of the key informatics technologies was highly aligned with the data quality maturity model. CONCLUSIONS: We demonstrated that the informatics approaches can be feasibly used to capture safety and effectiveness outcomes in real-world data for use in medical device studies supporting label extensions.
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spelling pubmed-84496152021-09-20 Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: A fit-for-purpose informatics analysis report Jiang, Guoqian Dhruva, Sanket S Chen, Jiajing Schulz, Wade L Doshi, Amit A Noseworthy, Peter A Zhang, Shumin Yu, Yue Patrick Young, H Brandt, Eric Ervin, Keondae R Shah, Nilay D Ross, Joseph S Coplan, Paul Drozda, Joseph P J Am Med Inform Assoc Research and Applications OBJECTIVE: The study sought to conduct an informatics analysis on the National Evaluation System for Health Technology Coordinating Center test case of cardiac ablation catheters and to demonstrate the role of informatics approaches in the feasibility assessment of capturing real-world data using unique device identifiers (UDIs) that are fit for purpose for label extensions for 2 cardiac ablation catheters from the electronic health records and other health information technology systems in a multicenter evaluation. MATERIALS AND METHODS: We focused on data capture and transformation and data quality maturity model specified in the National Evaluation System for Health Technology Coordinating Center data quality framework. The informatics analysis included 4 elements: the use of UDIs for identifying device exposure data, the use of standardized codes for defining computable phenotypes, the use of natural language processing for capturing unstructured data elements from clinical data systems, and the use of common data models for standardizing data collection and analyses. RESULTS: We found that, with the UDI implementation at 3 health systems, the target device exposure data could be effectively identified, particularly for brand-specific devices. Computable phenotypes for study outcomes could be defined using codes; however, ablation registries, natural language processing tools, and chart reviews were required for validating data quality of the phenotypes. The common data model implementation status varied across sites. The maturity level of the key informatics technologies was highly aligned with the data quality maturity model. CONCLUSIONS: We demonstrated that the informatics approaches can be feasibly used to capture safety and effectiveness outcomes in real-world data for use in medical device studies supporting label extensions. Oxford University Press 2021-07-27 /pmc/articles/PMC8449615/ /pubmed/34313748 http://dx.doi.org/10.1093/jamia/ocab117 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 (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 Research and Applications
Jiang, Guoqian
Dhruva, Sanket S
Chen, Jiajing
Schulz, Wade L
Doshi, Amit A
Noseworthy, Peter A
Zhang, Shumin
Yu, Yue
Patrick Young, H
Brandt, Eric
Ervin, Keondae R
Shah, Nilay D
Ross, Joseph S
Coplan, Paul
Drozda, Joseph P
Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: A fit-for-purpose informatics analysis report
title Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: A fit-for-purpose informatics analysis report
title_full Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: A fit-for-purpose informatics analysis report
title_fullStr Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: A fit-for-purpose informatics analysis report
title_full_unstemmed Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: A fit-for-purpose informatics analysis report
title_short Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: A fit-for-purpose informatics analysis report
title_sort feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: a fit-for-purpose informatics analysis report
topic Research and Applications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449615/
https://www.ncbi.nlm.nih.gov/pubmed/34313748
http://dx.doi.org/10.1093/jamia/ocab117
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