ArticleBMC medical informatics and decision making2016
How to improve vital sign data quality for use in clinical decision support systems? A qualitative study in nine Swedish emergency departments.
Article in BMC medical informatics and decision making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Challenges for Data Quality in the Clinical Data Life Cycle: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Data Quality-Driven Improvement in Health Care: Systematic Literature Review.Journal of medical Internet research · 2024Pooled it
- Digital Health Data Quality Issues: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Manifestations and Potential Consequences of Information Distortion in Electronic Nursing Records: Qualitative Study.JMIR nursing · 2026Article
- Barriers and Facilitators to Electronic Health Record Documentation Compliance in Multidisciplinary Hospital Settings: A Scoping Review.Journal of multidisciplinary healthcare · 2026Review
- A voice-based digital assistant for intelligent prompting of evidence-based practices during ICU rounds.Journal of biomedical informatics · 2023Article
- Clinical Decision Support System for Diabetic Patients by Predicting Type 2 Diabetes Using Machine Learning Algorithms.Journal of healthcare engineering · 2023Article
- Transition to a new nursing information system embedded with clinical decision support: a mixed-method study using the HOT-fit framework.BMC medical informatics and decision making · 2022Article
- Timing errors and temporal uncertainty in clinical databases-A narrative review.Frontiers in digital health · 2022Review
- Design and Implementation of an Informatics Infrastructure for Standardized Data Acquisition, Transfer, Storage, and Export in Psychiatric Clinical Routine: Feasibility Study.JMIR mental health · 2021Article
- Presentation of Pediatric Unintentional Injuries at Rural Hospitals in Rwanda: A Retrospective Study.Annals of global health · 2020Article
- Promotion of prehospital emergency care through clinical decision support systems: opportunities and challenges.Clinical and experimental emergency medicine · 2019Article
- A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual.Expert systems with applications · 2019Article
- Factors impacting physician use of information charted by others.JAMIA open · 2019Article
- Man vs machine in emergency medicine - a study on the effects of manual and automatic vital sign documentation on data quality and perceived workload, using observational paired sample data and questionnaires.BMC emergency medicine · 2018Observational
- Potential benefits of triage for the trauma patient in a Kenyan emergency department.BMC emergency medicine · 2018Article
- Patient facing decision support system for interpretation of laboratory test results.BMC medical informatics and decision making · 2018Article
- Health Information Technology in Healthcare Quality and Patient Safety: Literature Review.JMIR medical informatics · 2018Review
- Exploring Vital Sign Data Quality in Electronic Health Records with Focus on Emergency Care Warning Scores.Applied clinical informatics · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundVital sign data are important for clinical decision making in emergency care. Clinical Decision Support Systems (CDSS) have been advocated to increase patient safety and quality of care. However, the efficiency of CDSS depends on the quality of the underlying vital sign data. Therefore, possible factors affecting vital sign data quality need to be understood. This study aims to explore the factors affecting vital sign data quality in Swedish emergency departments and to determine in how far clinicians perceive vital sign data to be fit for use in clinical decision support systems. A further aim of the study is to provide recommendations on how to improve vital sign data quality in emergency departments.
methodsSemi-structured interviews were conducted with sixteen physicians and nurses from nine hospitals and vital sign documentation templates were collected and analysed. Follow-up interviews and process observations were done at three of the hospitals to verify the results. Content analysis with constant comparison of the data was used to analyse and categorize the collected data.
resultsFactors related to care process and information technology were perceived to affect vital sign data quality. Despite electronic health records (EHRs) being available in all hospitals, these were not always used for vital sign documentation. Only four out of nine sites had a completely digitalized vital sign documentation flow and paper-based triage records were perceived to provide a better mobile workflow support than EHRs. Observed documentation practices resulted in low currency, completeness, and interoperability of the vital signs. To improve vital sign data quality, we propose to standardize the care process, improve the digital documentation support, provide workflow support, ensure interoperability and perform quality control.
conclusionsVital sign data quality in Swedish emergency departments is currently not fit for use by CDSS. To address both technical and organisational challenges, we propose five steps for vital sign data quality improvement to be implemented in emergency care settings.
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