ArticleJournal of the American Heart Association2022
Establishing a National Cardiovascular Disease Surveillance System in the United States Using Electronic Health Record Data: Key Strengths and Limitations.
Article in Journal of the American Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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Who cites it
14 citing papers in PubMed, 19 citations in OpenAlex.
- Deploying the REACHnet Multi-State EHR-Based Network for Disease Surveillance (MENDS) node: lessons learned and tools utilized.JAMIA open · 2026Article
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- Hyperkalemia-related mortality trends in cardiac arrest: a 1999-2020 analysis in the United States.Annals of medicine and surgery (2012) · 2025Review
- Novel strategies to FIND people living with genetic dyslipidemias: The family heart foundation flag, identify, network, and deliver (FIND) familial hypercholesterolemia collaborative learning network.American journal of preventive cardiology · 2025Review
- Use of Lipid-Lowering Treatment in Primary Prevention in Spain (Lipidspain).Journal of clinical medicine · 2025Article
- Weighted EHR-based prevalence estimates for hypertension at the state and local levels in Louisiana.BMC public health · 2025Article
- Observational study of sudden cardiac arrest risk (OSCAR): Rationale and design of an electronic health records cohort.International journal of cardiology. Heart & vasculature · 2025Article
- Racial and ethnic differences in the receipt of continuous positive airway pressure treatment for obstructive sleep apnea.Sleep medicine · 2024Article
- Houston Methodist cardiovascular learning health system (CVD-LHS) registry: Methods for development and implementation of an automated electronic medical record-based registry using an informatics framework approach.American journal of preventive cardiology · 2024Article
- State-Level Hypertension Prevalence and Control Among Adults in the U.S.American journal of preventive medicine · 2024Article
- Leveraging Electronic Health Records to Construct a Phenotype for Hypertension Surveillance in the United States.American journal of hypertension · 2023Article
- Estimating disease burden using national linked electronic health records: a study using an English population-based cohort.Wellcome open research · 2023Article
- Geospatial divide in real-world EHR data: Analytical workflow to assess regional biases and potential impact on health equity.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
Corrections and comments
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Authors and funding
12 authors at 10 institutions in 1 country.
Funding
Abstract
Cardiovascular disease surveillance involves quantifying the evolving population-level burden of cardiovascular outcomes and risk factors as a data-driven initial step followed by the implementation of interventional strategies designed to alleviate this burden in the target population. Despite widespread acknowledgement of its potential value, a national surveillance system dedicated specifically to cardiovascular disease does not currently exist in the United States. Routinely collected health care data such as from electronic health records (EHRs) are a possible means of achieving national surveillance. Accordingly, this article elaborates on some key strengths and limitations of using EHR data for establishing a national cardiovascular disease surveillance system. Key strengths discussed include the: (1) ubiquity of EHRs and consequent ability to create a more "national" surveillance system, (2) existence of a common data infrastructure underlying the health care enterprise with respect to data domains and the nomenclature by which these data are expressed, (3) longitudinal length and detail that define EHR data when individuals repeatedly patronize a health care organization, and (4) breadth of outcomes capable of being surveilled with EHRs. Key limitations discussed include the: (1) incomplete ascertainment of health information related to health care-seeking behavior and the disconnect of health care data generated at separate health care organizations, (2) suspect data quality resulting from the default information-gathering processes within the clinical enterprise, (3) questionable ability to surveil patients through EHRs in the absence of documented interactions, and (4) the challenge in interpreting temporal trends in health metrics, which can be obscured by changing clinical and administrative processes.
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Registered trials
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