ArticleBMJ health & care informatics2020
Extending an open-source tool to measure data quality: case report on Observational Health Data Science and Informatics (OHDSI).
Article in BMJ health & care informatics, 2020. 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
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
14 citing papers in PubMed.
- Epidemiological characteristics of paediatric COVID-19 and influenza co-infections in the United States, 2020-2024.Epidemiology and infection · 2026Article
- A Practical Approach to Assessing the Completeness of Electronic Health Records for Medical Research: Data Quality Study.JMIR medical informatics · 2026Article
- Landscape analysis towards data quality and utility labelling in the European Health Data Space.European journal of public health · 2026Article
- Association between malnutrition and post-acute COVID-19 sequelae: A retrospective cohort study.JPEN. Journal of parenteral and enteral nutrition · 2024Article
- Centralized and Federated Models for the Analysis of Clinical Data.Annual review of biomedical data science · 2024Review
- Second-Line Pharmaceutical Treatments for Patients with Type 2 Diabetes.JAMA network open · 2023Article
- Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development Study.Journal of medical Internet research · 2023Article
- A topic-based hierarchical publish/subscribe messaging middleware for COVID-19 detection in X-ray image and its metadata.Soft computing · 2023Article
- Higher hospitalization and mortality rates among SARS-CoV-2-infected persons in rural America.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2023Article
- Modeling the Potential Impact of Missing Race and Ethnicity Data in Infectious Disease Surveillance Systems on Disparity Measures: Scenario Analysis of Different Imputation Strategies.JMIR public health and surveillance · 2022Article
- Impact of malnutrition on clinical outcomes in patients diagnosed with COVID-19.JPEN. Journal of parenteral and enteral nutrition · 2022Article
- COVID-19 patients with documented alcohol use disorder or alcohol-related complications are more likely to be hospitalized and have higher all-cause mortality.Alcoholism, clinical and experimental research · 2022Article
- Key Contributions in Clinical Research Informatics.Yearbook of medical informatics · 2021Review
- Barriers to using clinical decision support in ambulatory care: Do clinics in health systems fare better?Journal of the American Medical Informatics Association : JAMIA · 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
6 authors.
Funding
Abstract
introductionAs the health system seeks to leverage large-scale data to inform population outcomes, the informatics community is developing tools for analysing these data. To support data quality assessment within such a tool, we extended the open-source software Observational Health Data Sciences and Informatics (OHDSI) to incorporate new functions useful for population health.
methodsWe developed and tested methods to measure the completeness, timeliness and entropy of information. The new data quality methods were applied to over 100 million clinical messages received from emergency department information systems for use in public health syndromic surveillance systems. DISCUSSION: While completeness and entropy methods were implemented by the OHDSI community, timeliness was not adopted as its context did not fit with the existing OHDSI domains. The case report examines the process and reasons for acceptance and rejection of ideas proposed to an open-source community like OHDSI.
Indexed as
Identifiers
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.