ArticleJournal of biomedical informatics2010
Evaluation of a flowchart-based EHR query system: a case study of RetroGuide.
Article in Journal of biomedical informatics, 2010. 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.
- A Systematic Review of the Technology Acceptance Model in Health Informatics.Applied clinical informatics · 2018Pooled it
- Simple flowcharts for periodontal diagnosis based on the 2018 new periodontal classification increased accuracy and clinician confidence in making a periodontal diagnosis: a randomized crossover trial.Clinical oral investigations · 2022Trial
- Review and evaluation of electronic health records-driven phenotype algorithm authoring tools for clinical and translational research.Journal of the American Medical Informatics Association : JAMIA · 2015Review
- An adaptable architecture for patient cohort identification from diverse data sources.Journal of the American Medical Informatics Association : JAMIA · 2013Article
- Graphical representation of quality indicators based on medical service ontology.SpringerPlus · 2013Article
- A web-based data-querying tool based on ontology-driven methodology and flowchart-based model.JMIR medical informatics · 2013Article
- The Analytic Information Warehouse (AIW): a platform for analytics using electronic health record data.Journal of biomedical informatics · 2013Article
- Implementation of workflow engine technology to deliver basic clinical decision support functionality.BMC medical research methodology · 2011Article
- The technology acceptance model: its past and its future in health care.Journal of biomedical informatics · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Provision of query systems which are intuitive for non-experts has been recognized as an important informatics challenge. We developed a prototype of a flowchart-based analytical framework called RetroGuide that enables non-experts to formulate query tasks using a step-based, patient-centered paradigm inspired by workflow technology. We present results of the evaluation of RetroGuide in comparison to Structured Query Language (SQL) in laboratory settings using a mixed method design. We asked 18 human subjects with limited database experience to solve query tasks in RetroGuide and SQL, and quantitatively compared their test scores. A follow-up questionnaire was designed to compare both technologies qualitatively and investigate RetroGuide technology acceptance. The quantitative comparison of test scores showed that the study subjects achieved significantly higher scores using the RetroGuide technology. Qualitative study results indicated that 94% of subjects preferred RetroGuide to SQL because RetroGuide was easier to learn, it better supported temporal tasks, and it seemed to be a more logical modeling paradigm. Additional qualitative evaluation results, based on a technology acceptance model, suggested that a fully developed RetroGuide-like technology would be well accepted by users. Our study is an example of a structure validation study of a prototype query system, results of which provided significant guidance in further development of a novel query paradigm for EHR data. We discuss the strengths and weakness of our study design and results, and their implication for future evaluations of query systems in general.
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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.