Guidelines for Health IT Addressing the Quality of Data in EHR Information Systems
Nabil Georges Badr
2019
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.
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in Harvard Style
Badr N. (2019). Guidelines for Health IT Addressing the Quality of Data in EHR Information Systems. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5: HEALTHINF; ISBN 978-989-758-353-7, SciTePress, pages 169-181. DOI: 10.5220/0006941001690181
in Bibtex Style
@conference{healthinf19,
author={Nabil Georges Badr},
title={Guidelines for Health IT Addressing the Quality of Data in EHR Information Systems},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5: HEALTHINF},
year={2019},
pages={169-181},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006941001690181},
isbn={978-989-758-353-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5: HEALTHINF
TI - Guidelines for Health IT Addressing the Quality of Data in EHR Information Systems
SN - 978-989-758-353-7
AU - Badr N.
PY - 2019
SP - 169
EP - 181
DO - 10.5220/0006941001690181
PB - SciTePress