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Stud Health Technol Inform ; 305: 390-393, 2023 Jun 29.
Article in English | MEDLINE | ID: mdl-37387047

ABSTRACT

Data quality is a primary barrier to using electronic medical records (EMR) data for clinical and research purposes. Although EMR has been in use for a long time in LMICs, its data has been seldomly used. This study aimed to assess the completeness of demographic and clinical data in a tertiary hospital in Rwanda. We conducted a cross-sectional study and assessed 92,153 patient data recorded in EMR from October 1st to December 31st, 2022. The findings indicated that over 92% of social demographic data elements were complete, and the completeness of clinical data elements ranged from 27% to 89%. The completeness of data varied markedly by departments. We recommend an exploratory study to understand further reasons associated with the completeness of data in clinical departments.


Subject(s)
Data Accuracy , Electronic Health Records , Humans , Rwanda , Tertiary Care Centers , Cross-Sectional Studies
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