Author:
Nabil Georges Badr
Affiliation:
Higher Institute for Public Health, USJ and Lebanon
Keyword(s):
Data Quality, Electronic Health Records, Electronic Health Records Information Systems, Medical Informatics.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Electronic Health Records and Standards
;
Health Information Systems
;
Software Systems in Medicine
Abstract:
Quality of patient care is dependent on the quality of patient healthcare data. Electronic Health Record Information Systems (EHR-IS) capture patient health data for diagnosis, treatment, testing, medication and patient support. Issues in healthcare data quality comprise missing, incorrect, imprecise, and irrelevant data. Stakeholders of health data from practitioners, to patients, governments and lawmakers have long concerned themselves with these issues. Our paper looks at data quality in healthcare from the locus of ensuing risks, challenges and approaches in the literature. The paper proposes a reference for designing Electronic Health Record Information Systems and the evaluation of data quality in EHR-IS implementations.