ReviewMayo Clinic proceedings2021
Leveraging the Electronic Health Record to Address the COVID-19 Pandemic.
Review in Mayo Clinic proceedings, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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
18 citing papers in PubMed.
- Development and early implementation of automated audit and feedback monitoring instruments in Belgian primary care: lessons for scalable systems.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2026Article
- Health care management in Africa: a debate for future research and agenda.Frontiers in digital health · 2026Article
- Readiness, knowledge, and attitudes of healthcare professionals in Jordan toward Monkeypox: a cross-sectional survey.Scientific reports · 2025Article
- The Honest Enterprise Research Broker: Facilitating Ethical, Efficient, and Secure Access to Health Data for Research.Applied clinical informatics · 2025Article
- Perceptions of nursing informatics on quality of nursing practice and competency among nurses in Jordan.Frontiers in digital health · 2025Article
- Efficient clinical decision-making process via AI-based multimodal data fusion: A COVID-19 case study.Heliyon · 2024Article
- The role and limitations of electronic medical records versus patient interviews for determining symptoms of, underlying comorbidities of, and medication use by patients with COVID-19.American journal of epidemiology · 2024Article
- Article
- Leveraging informative missing data to learn about acute respiratory distress syndrome and mortality in long-term hospitalized COVID-19 patients throughout the years of the pandemic.medRxiv : the preprint server for health sciences · 2023Article
- Comparing Natural Language Processing and Structured Medical Data to Develop a Computable Phenotype for Patients Hospitalized Due to COVID-19: Retrospective Analysis.JMIR medical informatics · 2023Article
- Leveraging informative missing data to learn about acute respiratory distress syndrome and mortality in long-term hospitalized COVID-19 patients throughout the years of the pandemic.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- Electronic health records in nursing from 2000 to 2020: A bibliometric analysis.Frontiers in public health · 2023Article
- Machine learning forecasting for COVID-19 pandemic-associated effects on paediatric respiratory infections.Archives of disease in childhood · 2022Article
- Associations between Florida counties' COVID-19 case and death rates and meaningful use among Medicaid providers: Cross-sectional ecologic study.PLOS digital health · 2022Article
- Estradiol reduces ACE2 and TMPRSS2 mRNA levels in A549 human lung epithelial cells.Drug development research · 2022Article
- Cardiac involvement in the long-term implications of COVID-19.Nature reviews. Cardiology · 2022Review
- Augmentation of a Hospital Incident Command System to Support Continued Waves of the COVID-19 Pandemic.Journal of healthcare leadership · 2022Article
- Real-World Evidence of COVID-19 Patients' Data Quality in the Electronic Health Records.Healthcare (Basel, Switzerland) · 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
3 authors.
Funding
Abstract
The coronavirus disease 2019 (COVID-19) pandemic continues its global spread. Coordinated effort on a vast scale is required to halt its progression and to save lives. Electronic health record (EHR) data are a valuable resource to mitigate the COVID-19 pandemic. We review how the EHR could be used for disease surveillance and contact tracing. When linked to "omics" data, the EHR could facilitate identification of genetic susceptibility variants, leading to insights into risk factors, disease complications, and drug repurposing. Real-time monitoring of patients could enable early detection of potential complications, informing appropriate interventions and therapy. We reviewed relevant articles from PubMed, MEDLINE, and Google Scholar searches as well as preprint servers, given the rapidly evolving understanding of the COVID-19 pandemic.
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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.