ArticleAnnals of family medicine
A diabetes dashboard and physician efficiency and accuracy in accessing data needed for high-quality diabetes care.
Article in Annals of family medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 4 of them syntheses that pooled it.
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Who cites it
64 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- The impact of eHealth use on general practice workload in the pre-COVID-19 era: a systematic review.BMC health services research · 2024Pooled it
- Systematic review of applied usability metrics within usability evaluation methods for hospital electronic healthcare record systems: Metrics and Evaluation Methods for eHealth Systems.Journal of evaluation in clinical practice · 2021Pooled it
- Comprehensive process model of clinical information interaction in primary care: results of a "best-fit" framework synthesis.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
- An appraisal of published usability evaluations of electronic health records via systematic review.Journal of the American Medical Informatics Association : JAMIA · 2017Pooled it
- Does Clinical Decision Support Increase Appropriate Medication Prescribing for Cardiovascular Risk Reduction?Journal of the American Board of Family Medicine : JABFM · 2023Trial
- DASH-HF Study: A Pragmatic Quality Improvement Randomized Implementation Trial for Patients With Heart Failure With Reduced Ejection Fraction.Circulation. Heart failure · 2023Trial
- Effect of Clinical Decision Support at Community Health Centers on the Risk of Cardiovascular Disease: A Cluster Randomized Clinical Trial.JAMA network open · 2022Trial
- Clinical decision support directed to primary care patients and providers reduces cardiovascular risk: a randomized trial.Journal of the American Medical Informatics Association : JAMIA · 2018Trial
- An internet-based diabetes management platform improves team care and outcomes in an urban Latino population.Diabetes care · 2015Trial
- ViMDT: a clinical data visual analysis tool for multi-disciplinary treatment of lung cancer.Clinical and experimental medicine · 2026Article
- "The missing link": utility of brain health dashboards in supporting healthy ageing in primary care.BMC medical informatics and decision making · 2025Article
- Clinical decision support to improve primary care obesity management in adults with diabetes: Clinic-randomized study design.Contemporary clinical trials · 2025Article
- Developing and Evaluating SEE-Diabetes: A Patient-Centered Educational Decision Support System for Diabetes Care.Journal of evaluation in clinical practice · 2025Article
- Impact of a Disease-Focused Electronic Health Record Dashboard on Clinical Staff Efficiency in Previsit Patient Review in an Ambulatory Pulmonary Hypertension Care Clinic.Applied clinical informatics · 2024Article
- The association between population health management tools and clinician burnout in the United States VA primary care patient-centered medical home.BMC primary care · 2024Article
- Involving Health Care Professionals in the Development of Electronic Health Records: Scoping Review.JMIR human factors · 2023Article
- An Electronic Dashboard to Improve Dosing of Hydroxychloroquine Within the Veterans Health Care System: Time Series Analysis.JMIR medical informatics · 2023Article
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- Developing the VA Geriatric Scholars Programs' Clinical Dashboards Using the PDSA Framework for Quality Improvement.Applied clinical informatics · 2022Article
- The relationship between health IT characteristics and organizational variables among German healthcare workers.Scientific reports · 2021Article
4 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors.
Funding
Abstract
purposeWe compared use of a new diabetes dashboard screen with use of a conventional approach of viewing multiple electronic health record (EHR) screens to find data needed for ambulatory diabetes care.
methodsWe performed a usability study, including a quantitative time study and qualitative analysis of information-seeking behaviors. While being recorded with Morae Recorder software and "think-aloud" interview methods, 10 primary care physicians first searched their EHR for 10 diabetes data elements using a conventional approach for a simulated patient, and then using a new diabetes dashboard for another. We measured time, number of mouse clicks, and accuracy. Two coders analyzed think-aloud and interview data using grounded theory methodology.
resultsThe mean time needed to find all data elements was 5.5 minutes using the conventional approach vs 1.3 minutes using the diabetes dashboard (P <.001). Physicians correctly identified 94% of the data requested using the conventional method, vs 100% with the dashboard (P <.01). The mean number of mouse clicks was 60 for conventional searching vs 3 clicks with the diabetes dashboard (P <.001). A common theme was that in everyday practice, if physicians had to spend too much time searching for data, they would either continue without it or order a test again.
conclusionsUsing a patient-specific diabetes dashboard improves both the efficiency and accuracy of acquiring data needed for high-quality diabetes care. Usability analysis tools can provide important insights into the value of optimizing physician use of health information technologies.
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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.