ReviewCurrent infectious disease reports2019
Electronic Health Record Use in Public Health Infectious Disease Surveillance, USA, 2018-2019.
Review in Current infectious disease reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses 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
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.
- Digital Data Sources and Their Impact on People's Health: A Systematic Review of Systematic Reviews.Frontiers in public health · 2021Pooled it
- Electronic health record-based disease surveillance systems: A systematic literature review on challenges and solutions.Journal of the American Medical Informatics Association : JAMIA · 2020Pooled it
- Computational phenotyping of sexually transmitted infections with the All of Us Research Program from 2010 to 2023.JAMIA open · 2026Article
- Public health informatics tools for dengue risk management: A systematic review.PLOS digital health · 2026Article
- Predicting Lyme Disease: A One Health Approach.Pathogens (Basel, Switzerland) · 2026Article
- Inpatient rehabilitation fracture liaison service (FLS) improves outcomes for secondary prevention of hip fractures.Bone reports · 2025Article
- Strategies and Tools for Electronic Health Records and Physician Workflow Alignment: Protocol for a Scoping Review.JMIR research protocols · 2025Article
- Proposed approaches for public health surveillance: A literature review for the Canadian National HIV Surveillance Program.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2025Article
- Completeness of Data on Race and Ethnicity and Timeliness of Electronic Case Reports for COVID-19 at 4 Health Care Organizations in Florida, December 2020.Public health reports (Washington, D.C. : 1974) · 2025Article
- Scaling up of electronic case-based disease surveillance reporting for COVID-19 and other notifiable diseases through capacity building and antigen RDT provision: a case study of Sierra Leone.Frontiers in public health · 2025Article
- 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
- Public Health Surveillance in Electronic Health Records: Lessons From PCORnet.Preventing chronic disease · 2024Article
- Electronic Health Record Data for Lyme Disease Surveillance, Massachusetts, USA, 2017-2018.Emerging infectious diseases · 2024Article
- Hepatitis C Cascades: Data to Inform Hepatitis C Elimination in the United States.Public health reports (Washington, D.C. : 1974) · 2023Review
- Utilization of Electronic Health Records for Chronic Disease Surveillance: A Systematic Literature Review.Cureus · 2023Review
- An electronic medical records study of population obesity prevalence in El Paso, Texas.BMC medical informatics and decision making · 2022Article
- Article
- Advantages and Limitations of 16S rRNA Next-Generation Sequencing for Pathogen Identification in the Diagnostic Microbiology Laboratory: Perspectives from a Middle-Income Country.Diagnostics (Basel, Switzerland) · 2020Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewElectronic health records (EHRs) are an excellent source of data for disease symptoms, laboratory results, and medical treatments. Thus, EHR data may improve the completeness of notifiable disease case reporting and enable longitudinal collection of disease data. The purpose of this review is to examine the current state of EHR use in public health infectious disease surveillance in the USA. RECENT
findingsA wide variety of EHR data is used in infectious disease surveillance. EHR data were used to assess the incidence of Lyme disease and identify newly diagnosed HIV infections. EHR disease detection algorithms combined laboratory reports, diagnosis codes, and medication orders to identify cases and, in the case of Lyme disease, found incidence rates 4-7 times higher than those from traditional surveillance. EHR data were also used to evaluate temporal trends in sexually transmitted disease testing, positivity, and re-testing in several primary care settings. Multiple studies were also able to control for additional confounders in multivariable models, such as number of sexual partners and concurrent infections, because of the breadth of data available in EHR systems. Studies highlighted in this review demonstrate that EHR data enhance provider-based and laboratory-based disease reports and may facilitate more complete case reporting. EHR data also provides corollary patient information that enables longitudinal disease reporting and analysis of important health outcomes. As public health infrastructure and investment allow health departments to establish closer relationships with healthcare providers, EHR data use in public health surveillance activities should continue to increase.
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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.