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Impact of an electronic medical record-based automated screening program for critical congenital heart disease: Emirates Health Services, United Arab Emirates

BACKGROUND: Almost eight children per 1000 live births are expected to have a congenital heart defect globally. The seven most critical congenital heart conditions that cause severe compromise on the patient’s quality and duration of life are collectively referred to as the Critical Congenital Heart...

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Autores principales: Zarouni, Sumaya Al, Mheiri, Noor Majed Al, Blooshi, Kalthoom Al, Serkal, Yousif Al, Preman, Neema, Naqvi, Sadaf Ahsan, Khan, Yasir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214992/
https://www.ncbi.nlm.nih.gov/pubmed/35729549
http://dx.doi.org/10.1186/s12911-022-01900-y
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author Zarouni, Sumaya Al
Mheiri, Noor Majed Al
Blooshi, Kalthoom Al
Serkal, Yousif Al
Preman, Neema
Naqvi, Sadaf Ahsan
Khan, Yasir
author_facet Zarouni, Sumaya Al
Mheiri, Noor Majed Al
Blooshi, Kalthoom Al
Serkal, Yousif Al
Preman, Neema
Naqvi, Sadaf Ahsan
Khan, Yasir
author_sort Zarouni, Sumaya Al
collection PubMed
description BACKGROUND: Almost eight children per 1000 live births are expected to have a congenital heart defect globally. The seven most critical congenital heart conditions that cause severe compromise on the patient’s quality and duration of life are collectively referred to as the Critical Congenital Heart Diseases (CCHD). CCHD is a critical condition that requires prompt detection and intervention as a life-saving measure. Pulse oximetry is a non-invasive, highly specific, and moderately sensitive method that can be used for screening new-borns for CCHD. The Emirates Health Services (EHS), UAE, adopted a strategy of developing a stringent program for newborn screening of Critical Congenital Heart disease, which would help in the early diagnosis and treatment of CCHD patients. An automated EMR (Wareed) driven solution was introduced to enhance this program as part of the routine workflow for the nurse care providers. METHODS: Our study is a retrospective observational study that aims to understand: the prevalence of CCHD in our target population and to study the impact of an automated program on screening compliance and its implications for early diagnosis of CCHD. RESULTS: We found that an EMR-driven automated screening program was highly effective in achieving high compliance (98.9%). It created a (statistically significant) improvement in the disease identification for CCHD in live births at EHS facilities. CONCLUSION: We conclude that implementing an automated protocol through the EMR can effectively improve new-born screening coverage. It reduces the days to CCHD diagnosis, which would improve health outcomes in neonates.
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spelling pubmed-92149922022-06-23 Impact of an electronic medical record-based automated screening program for critical congenital heart disease: Emirates Health Services, United Arab Emirates Zarouni, Sumaya Al Mheiri, Noor Majed Al Blooshi, Kalthoom Al Serkal, Yousif Al Preman, Neema Naqvi, Sadaf Ahsan Khan, Yasir BMC Med Inform Decis Mak Research BACKGROUND: Almost eight children per 1000 live births are expected to have a congenital heart defect globally. The seven most critical congenital heart conditions that cause severe compromise on the patient’s quality and duration of life are collectively referred to as the Critical Congenital Heart Diseases (CCHD). CCHD is a critical condition that requires prompt detection and intervention as a life-saving measure. Pulse oximetry is a non-invasive, highly specific, and moderately sensitive method that can be used for screening new-borns for CCHD. The Emirates Health Services (EHS), UAE, adopted a strategy of developing a stringent program for newborn screening of Critical Congenital Heart disease, which would help in the early diagnosis and treatment of CCHD patients. An automated EMR (Wareed) driven solution was introduced to enhance this program as part of the routine workflow for the nurse care providers. METHODS: Our study is a retrospective observational study that aims to understand: the prevalence of CCHD in our target population and to study the impact of an automated program on screening compliance and its implications for early diagnosis of CCHD. RESULTS: We found that an EMR-driven automated screening program was highly effective in achieving high compliance (98.9%). It created a (statistically significant) improvement in the disease identification for CCHD in live births at EHS facilities. CONCLUSION: We conclude that implementing an automated protocol through the EMR can effectively improve new-born screening coverage. It reduces the days to CCHD diagnosis, which would improve health outcomes in neonates. BioMed Central 2022-06-21 /pmc/articles/PMC9214992/ /pubmed/35729549 http://dx.doi.org/10.1186/s12911-022-01900-y Text en © The Author(s) 2022 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
Zarouni, Sumaya Al
Mheiri, Noor Majed Al
Blooshi, Kalthoom Al
Serkal, Yousif Al
Preman, Neema
Naqvi, Sadaf Ahsan
Khan, Yasir
Impact of an electronic medical record-based automated screening program for critical congenital heart disease: Emirates Health Services, United Arab Emirates
title Impact of an electronic medical record-based automated screening program for critical congenital heart disease: Emirates Health Services, United Arab Emirates
title_full Impact of an electronic medical record-based automated screening program for critical congenital heart disease: Emirates Health Services, United Arab Emirates
title_fullStr Impact of an electronic medical record-based automated screening program for critical congenital heart disease: Emirates Health Services, United Arab Emirates
title_full_unstemmed Impact of an electronic medical record-based automated screening program for critical congenital heart disease: Emirates Health Services, United Arab Emirates
title_short Impact of an electronic medical record-based automated screening program for critical congenital heart disease: Emirates Health Services, United Arab Emirates
title_sort impact of an electronic medical record-based automated screening program for critical congenital heart disease: emirates health services, united arab emirates
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214992/
https://www.ncbi.nlm.nih.gov/pubmed/35729549
http://dx.doi.org/10.1186/s12911-022-01900-y
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