ArticleJournal of biomedical informatics2021
Mind the clinical-analytic gap: Electronic health records and COVID-19 pandemic response.
Article in Journal of biomedical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Electronic health record data quality assessment and tools: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2023Pooled it
- Moving from crisis response to a learning health system: Experiences from an Australian regional primary care network.Learning health systems · 2025Article
- Electronic health records reveal that COVID-19 impacted health resources and survival of Basque population.Aging clinical and experimental research · 2024Article
- Diagnosing an overcrowded emergency department from its Electronic Health Records.Scientific reports · 2024Article
- Transitions of care for older adults discharged home from the emergency department: an inductive thematic content analysis of patient comments.BMC geriatrics · 2024Observational
- The Role of COVID-19 in Excess Mortality in Slovakia: A Novel Approach Based on Healthcare Billing Records.International journal of public health · 2024Article
- Exploring the impact of missingness on racial disparities in predictive performance of a machine learning model for emergency department triage.JAMIA open · 2023Article
- Development & Deployment of a Real-time Healthcare Predictive Analytics Platform.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2023Article
- Lessons Learned from the Lessons Learned in Public Health during the First Years of COVID-19 Pandemic.International journal of environmental research and public health · 2023Review
- Relative bed allocation for COVID-19 patients, EHR investments, and COVID-19 mortality outcomes.PloS one · 2023Article
- Machine learning forecasting for COVID-19 pandemic-associated effects on paediatric respiratory infections.Archives of disease in childhood · 2022Article
- Accelerated Digitalization of the Epidemiological Measures: Overcoming the Technological and Process Complexities of Establishing the EU Digital COVID Certificate in Slovenia.International journal of environmental research and public health · 2022Review
- Inaccurate recording of routinely collected data items influences identification of COVID-19 patients.International journal of medical informatics · 2022Article
- Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study design and rationale.BMC medical informatics and decision making · 2022Article
- Novel informatics approaches to COVID-19 Research: From methods to applications.Journal of biomedical informatics · 2022Article
- Tackling the Burden of Electronic Health Record Use Among Physicians in a Mental Health Setting: Physician Engagement Strategy.Journal of medical Internet research · 2022Article
- Building capacity of community health centers to overcome data challenges with the development of an agile COVID-19 public health registry: a multistate quality improvement effort.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Electronic Medical Records for (Visceral) Medicine: An Overview of the Current Status and Prospects.Visceral medicine · 2021Review
- Real-World Evidence of COVID-19 Patients' Data Quality in the Electronic Health Records.Healthcare (Basel, Switzerland) · 2021Article
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Data quality is essential to the success of the most simple and the most complex analysis. In the context of the COVID-19 pandemic, large-scale data sharing across the US and around the world has played an important role in public health responses to the pandemic and has been crucial to understanding and predicting its likely course. In California, hospitals have been required to report a large volume of daily data related to COVID-19. In order to meet this need, electronic health records (EHRs) have played an important role, but the challenges of reporting high-quality data in real-time from EHR data sources have not been explored. We describe some of the challenges of utilizing EHR data for this purpose from the perspective of a large, integrated, mixed-payer health system in northern California, US. We emphasize some of the inadequacies inherent to EHR data using several specific examples, and explore the clinical-analytic gap that forms the basis for some of these inadequacies. We highlight the need for data and analytics to be incorporated into the early stages of clinical crisis planning in order to utilize EHR data to full advantage. We further propose that lessons learned from the COVID-19 pandemic can result in the formation of collaborative teams joining clinical operations, informatics, data analytics, and research, ultimately resulting in improved data quality to support effective crisis response.
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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.