Journal article
The relationship between electronic health records user interface features and data quality of patient clinical information: an integrative review
Journal of the American Medical Informatics Association : JAMIA, Vol.31(1), pp.240-255
12/22/2023
DOI: 10.1093/jamia/ocad188
PMCID: PMC10746323
PMID: 37740937
Abstract
Abstract Objectives Electronic health records (EHRs) user interfaces (UI) designed for data entry can potentially impact the quality of patient information captured in the EHRs. This review identified and synthesized the literature evidence about the relationship of UI features in EHRs on data quality (DQ). Materials and methods We performed an integrative review of research studies by conducting a structured search in 5 databases completed on October 10, 2022. We applied Whittemore & Knafl’s methodology to identify literature, extract, and synthesize information, iteratively. We adapted Kmet et al appraisal tool for the quality assessment of the evidence. The research protocol was registered with PROSPERO (CRD42020203998). Results Eleven studies met the inclusion criteria. The relationship between 1 or more UI features and 1 or more DQ indicators was examined. UI features were classified into 4 categories: 3 types of data capture aids, and other methods of DQ assessment at the UI. The Weiskopf et al measures were used to assess DQ: completeness (n = 10), correctness (n = 10), and currency (n = 3). UI features such as mandatory fields, templates, and contextual autocomplete improved completeness or correctness or both. Measures of currency were scarce. Discussion 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.
Details
- Title: Subtitle
- The relationship between electronic health records user interface features and data quality of patient clinical information: an integrative review
- Creators
- Olatunde O Madandola - University of FloridaRagnhildur I Bjarnadottir - University of FloridaYingwei Yao - Florida CollegeMargaret Ansell - University of Florida HealthFabiana Dos Santos - Florida CollegeHwayoung Cho - University of FloridaKaren Dunn LopezTamara G R Macieira - Florida CollegeGail M Keenan - University of Florida
- Resource Type
- Journal article
- Publication Details
- Journal of the American Medical Informatics Association : JAMIA, Vol.31(1), pp.240-255
- Publisher
- Oxford University Press (OUP)
- DOI
- 10.1093/jamia/ocad188
- PMID
- 37740937
- PMCID
- PMC10746323
- ISSN
- 1067-5027
- eISSN
- 1527-974X
- Grant note
- name: National Institute of Health; DOI: 10.13039/100000056, name: National Institute of Nursing Research, award: R01 NR018416
- Language
- English
- Electronic publication date
- 09/22/2023
- Date published
- 12/22/2023
- Academic Unit
- Nursing
- Record Identifier
- 9984472652802771
Metrics
11 Record Views