Login / Signup

Factors Influencing Data Quality in Electronic Health Record Systems in 50 Health Facilities in Rwanda and the Role of Clinical Alerts: Cross-Sectional Observational Study.

Hamish S F FraserMichael MugishaIan BacherJoseph Lune NgenziChristopher John SeebregtsAline UmubyeyiJeanine U Condo
Published in: JMIR public health and surveillance (2024)
The EHR records in the 50 HFs generally had high levels of completeness except for VL results. Matching results were close to or >85% threshold for nondate variables. Higher EHR stability and uptime, and alerts for entering VL both strongly improved data quality. Most data were considered fit for purpose, but more regular data quality assessments, training, and technical improvements in EHR forms, data reports, and alerts are recommended. The application of quality improvement techniques described in this study should benefit a wide range of HFs and data uses for clinical care, public health, and disease surveillance.
Keyphrases
  • electronic health record
  • public health
  • quality improvement
  • clinical decision support
  • adverse drug
  • big data
  • healthcare
  • cross sectional
  • chronic pain
  • pain management
  • machine learning
  • climate change