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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Main Authors: Blooshi, K.A (Author), Khan, Y. (Author), Mheiri, N.M.A (Author), Naqvi, S.A (Author), Preman, N. (Author), Serkal, Y.A (Author), Zarouni, S.A (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2022
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Online Access:View Fulltext in Publisher
LEADER 02586nam a2200241Ia 4500
001 10.1186-s12911-022-01900-y
008 220630s2022 CNT 000 0 und d
020 |a 14726947 (ISSN) 
245 1 0 |a Impact of an electronic medical record-based automated screening program for critical congenital heart disease: Emirates Health Services, United Arab Emirates 
260 0 |b BioMed Central Ltd  |c 2022 
520 3 |a 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. © 2022, The Author(s). 
650 0 4 |a Critical congenital heart disease 
650 0 4 |a Electronic medical record 
650 0 4 |a New-born screening 
700 1 0 |a Blooshi, K.A.  |e author 
700 1 0 |a Khan, Y.  |e author 
700 1 0 |a Mheiri, N.M.A.  |e author 
700 1 0 |a Naqvi, S.A.  |e author 
700 1 0 |a Preman, N.  |e author 
700 1 0 |a Serkal, Y.A.  |e author 
700 1 0 |a Zarouni, S.A.  |e author 
773 |t BMC Medical Informatics and Decision Making 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1186/s12911-022-01900-y