Login / Signup

The relationship between electronic health records user interface features and data quality of patient clinical information: an integrative review.

Olatunde O MadandolaRagnhildur I BjarnadottirYingwei YaoMargaret E AnsellFabiana Cristina Dos SantosHwayoung ChoKaren Dunn LopezTamara Gonçalves Rezende MacieiraGail M Keenan
Published in: Journal of the American Medical Informatics Association : JAMIA (2023)
The paucity of studies on UI features and DQ underscored the limited knowledge in this important area. The UI features examined had both positive and negative effects on DQ. Standardization of data entry and further development of automated algorithmic aids, including adaptive UIs, have great promise for improving DQ. Further research is essential to ensure data captured in our electronic systems are high quality and valid for use in clinical decision-making and other secondary analyses.
Keyphrases
  • electronic health record
  • big data
  • clinical decision support
  • decision making
  • healthcare
  • machine learning
  • celiac disease
  • adverse drug
  • deep learning
  • artificial intelligence
  • quality improvement
  • single cell