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1.
BMC Med Inform Decis Mak ; 22(1): 165, 2022 06 21.
Article in English | MEDLINE | ID: mdl-35729549

ABSTRACT

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.


Subject(s)
Electronic Health Records , Heart Defects, Congenital , Child , Heart Defects, Congenital/diagnosis , Heart Defects, Congenital/epidemiology , Humans , Infant, Newborn , Neonatal Screening/methods , Oximetry/methods , Retrospective Studies , United Arab Emirates/epidemiology
2.
BMJ Health Care Inform ; 26(1)2019 Sep.
Article in English | MEDLINE | ID: mdl-31533923

ABSTRACT

OBJECTIVES: To investigate the impact of electronic medical record (EMR) on improvement of healthcare parameters in a thalassaemia centre located at the Fujairah Hospital, Fujairah, UAE. MATERIALS AND METHODS: A hospital-wide EMR system (Wareed) was implemented across the hospitals in the Ministry of Health and Prevention, UAE, including two major thalassaemia centres. We aim to investigate the impact of this intervention across a number of healthcare parameters over two quarters (before and after implementation of the system). RESULTS: Since preimplementation data were not available for one facility, comparisons were made between parameters in two quarters in Fujairah hospital only. After introduction of Wareed, we found an increase in number of appointments (12%) (p=0.00), decrease in the number of appointment cancellations due to non-availability of blood products (p=0.02), reduction in the time to cannulation (p=0.00), decrease in number of physician days (p=0.295) among other parameters observed. DISCUSSION: Research shows that EMR systems have a positive impact on reduction in medical expenditure, improvement of healthcare quality and overall health outcomes. thalassaemia is highly prevalent in the Middle Eastern countries and drains the medical, social and financial resources of these nations. Our study is an attempt to create an insight into the difference in healthcare parameters before and after introduction of the system. CONCLUSION: Being the first of a kind in this region, our study created favourable evidence that introduction of an EMR has an overall positive impact on the healthcare delivery system for thalassaemia care.


Subject(s)
Electronic Health Records/organization & administration , Patient Safety/statistics & numerical data , Quality Improvement/organization & administration , Thalassemia/therapy , Appointments and Schedules , Catheterization/statistics & numerical data , Critical Pathways/standards , Health Expenditures/statistics & numerical data , Humans , Length of Stay/statistics & numerical data , Time Factors , United Arab Emirates , Waiting Lists
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