ArticleJournal of the American Medical Informatics Association : JAMIA2021
Assessing the quality of clinical and administrative data extracted from hospitals: the General Medicine Inpatient Initiative (GEMINI) experience.
Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 4 of them syntheses that pooled it.
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Who cites it
62 citing papers in PubMed, 4 syntheses or guidelines pooled it, 93 citations in OpenAlex.
- Prevalence and representation of comorbidities and multimorbidity in randomised controlled trials in sepsis or septic shock: a systematic review.Critical care (London, England) · 2026Pooled it
- Data quality assessment in healthcare, dimensions, methods and tools: a systematic review.BMC medical informatics and decision making · 2025Pooled it
- Evaluating the outcomes of problem-based learning in postgraduate medical education: a systematic review and meta-analysis.Canadian medical education journal · 2025Pooled it
- Electronic health record data quality assessment and tools: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2023Pooled it
- Developing Resident-Sensitive Quality Measures for Internal Medicine.JAMA network open · 2026Article
- Harnessing big data and artificial intelligence in transfusion medicine: Opportunities for precision, safety and efficiency.Vox sanguinis · 2026Review
- Early Morning Blood Draw Timing and Frequency Among Hospitalized Patients.JAMA network open · 2026Article
- Opportunities for improving platelet transfusion practice: A large retrospective audit across 22 hospitals.British journal of haematology · 2026Article
- Antibiotic Use in Patients with Acute Exacerbations of Chronic Obstructive Pulmonary Disease: A Multicenter Retrospective Cohort Study.Journal of general internal medicine · 2026Article
- Characteristics and Outcomes of Adults Hospitalized With Childhood-Onset Complex Chronic Conditions.JAMA network open · 2026Article
- Characterization and validation of electronic medical record data for pharmacoepidemiologic research.Frontiers in pharmacology · 2026Article
- Effect of disability, homelessness, and neighborhood marginalization on risk adjustment for hospital performance measurement.American journal of epidemiology · 2025Article
- Applying an implementation science lens to understand physician-level variation in patient length of stay in internal medicine.BMC health services research · 2025Article
- Plasma transfusion practice: A five-year audit of plasma transfusion at 23 hospitals.Transfusion · 2025Article
- Rising transfusion rates amidst stable blood supply: A Canadian perspective on emerging challenges for blood operators.Transfusion · 2025Article
- Evaluating the process of care for persons admitted to Toronto area hospitals with acute severe ulcerative colitis.Journal of the Canadian Association of Gastroenterology · 2025Article
- The role of medical regulations and medical regulators in fostering the use of eHealth data for strengthened continuing professional development (CPD): a document analysis with key informants' interviews.BMC medical education · 2025Article
- Oseltamivir Treatment vs Supportive Care for Seasonal Influenza Requiring Hospitalization.JAMA network open · 2025Article
- Detecting and Remediating Harmful Data Shifts for the Responsible Deployment of Clinical AI Models.JAMA network open · 2025Article
- Canadian donations and transfusion database (CANDAT): From blood donors to transfusion recipients.Transfusion · 2025Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveLarge clinical databases are increasingly used for research and quality improvement. We describe an approach to data quality assessment from the General Medicine Inpatient Initiative (GEMINI), which collects and standardizes administrative and clinical data from hospitals.
methodsThe GEMINI database contained 245 559 patient admissions at 7 hospitals in Ontario, Canada from 2010 to 2017. We performed 7 computational data quality checks and iteratively re-extracted data from hospitals to correct problems. Thereafter, GEMINI data were compared to data that were manually abstracted from the hospital's electronic medical record for 23 419 selected data points on a sample of 7488 patients.
resultsComputational checks flagged 103 potential data quality issues, which were either corrected or documented to inform future analysis. For example, we identified the inclusion of canceled radiology tests, a time shift of transfusion data, and mistakenly processing the chemical symbol for sodium ("Na") as a missing value. Manual validation identified 1 important data quality issue that was not detected by computational checks: transfusion dates and times at 1 site were unreliable. Apart from that single issue, across all data tables, GEMINI data had high overall accuracy (ranging from 98%-100%), sensitivity (95%-100%), specificity (99%-100%), positive predictive value (93%-100%), and negative predictive value (99%-100%) compared to the gold standard. DISCUSSION AND
conclusionComputational data quality checks with iterative re-extraction facilitated reliable data collection from hospitals but missed 1 critical quality issue. Combining computational and manual approaches may be optimal for assessing the quality of large multisite clinical databases.
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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.