Authors:
Rui Mendes
1
and
Pedro Pereira Rodrigues
2
Affiliations:
1
Faculty of Medicine of the University of Porto and Faculty of Sciences of the University of Porto, Portugal
;
2
University of Porto and Faculty of Medicine of the University of Porto, Portugal
Keyword(s):
Data quality, Data collection, Electronic health records.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Electronic Health Records and Standards
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Medical and Nursing Informatics
Abstract:
The volume of health data is rising and health information technologies which include electronic health records are a promising solution, on data management and collection, to achieve greater quality outcomes. However, they often cause errors instead of preventing them. To study the main barriers to high quality data collection from electronic health records, a qualitative review study was conducted using 5 different database engines having only considered data quality and documentation issues, opportunities and challenges for proper data collection, electronic health records data and corresponding databases quality. It were included 16 articles from which data availability, format, accuracy and data accessibility were the most focused problems to address. Still, solutions are available: early recognition of those problems, well structured and designed EHRs, standard coding use, periodic accuracy monitoring and feedback and broad use of such systems for the most daily tasks possible,
among others. Altogether they can improve EHR data quality for everyday use.
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