ArticleJournal of pediatric rehabilitation medicine2018
Using structured data entry systems in the electronic medical record to collect clinical data for quality and research: Can we efficiently serve multiple needs for complex patients with spina bifida?
Article in Journal of pediatric rehabilitation medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Challenges for Data Quality in the Clinical Data Life Cycle: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Words Matter: Content Analysis of Language Used When Documenting in the Medical Records of Patients in Mental Health.Journal of multidisciplinary healthcare · 2026Article
- Machine Learning Analysis of Videourodynamics to Predict Incident Hydronephrosis in Patients With Spina Bifida.The Journal of urology · 2025Article
- Stratification of neurogenic bladder risk in spina bifida using the urinary peptidome.American journal of physiology. Renal physiology · 2024Article
- 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 · 2023Review
- Overview of approaches to estimate real-world disease progression in lung cancer.JNCI cancer spectrum · 2023Review
- Process analysis of the patient pathway for automated data collection: an exemplar using pituitary surgery.Frontiers in endocrinology · 2023Article
- Article
- Development of an Innovative Digital Data Collection System for Routine Mental Health Care Delivery in Rural Haiti.Global health, science and practice · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
purposeThe era of the electronic health record (EHR) generates the ability to systematically collect and record innumerable data for complex procedures such as videourodynamic studies (VUDS). We developed a Structured Data Entry System (SDES) that would serve as a way to better standardize VUDS for both quality improvement and research capabilities.
methodsA working group convened to design a SDES form for VUDS in a flow sheet format in our hospital's EHR, allowing for easy integration of the information into the clinical encounter note and for weekly export of data to clinicians in spreadsheet form.
resultsAnalysis of weekly VUDS data revealed that entries were missing in 3% of cells in all SDES forms completed. The availability of the data in an Excel spreadsheet allows for easy manipulation, calculation of clinical variables, and streamlined analysis in figures or graphs to identify patients at the highest risk.
conclusionDesigning and implementing a SDES based on a flowsheet that can allow data to be placed seamlessly in the clinical record and to be integrated into a searchable database for quality improvement and research purposes allows one to harness the true potential of the EHR.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.